IET Signal Processing最新文献_第10页

Direct position determination algorithm for non-circular sources in the presence of mutual coupling and its theoretical performance analysis 存在相互耦合的非圆源直接定位算法及其理论性能分析

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-03-03 DOI: 10.1049/sil2.12193

Jie Deng, Jiexin Yin, Bin Yang, Ding Wang

{"title":"Direct position determination algorithm for non-circular sources in the presence of mutual coupling and its theoretical performance analysis","authors":"Jie Deng, Jiexin Yin, Bin Yang, Ding Wang","doi":"10.1049/sil2.12193","DOIUrl":"https://doi.org/10.1049/sil2.12193","url":null,"abstract":"This article proposes a direct position determination (DPD) algorithm for non-circular sources observed by a moving array using the self-calibration technique in the presence of mutual coupling. The method first utilises the symmetric Toeplitz property of uniform linear array matrices with mutual coupling and cyclic Toeplitz property of uniform circular array coupling matrix, realising the decoupled estimations of target position parameters and sensor error parameters. Then the position parameters of multiple non-circular are directly determined based on the subspace data fusion criterion in a decoupled manner, where the subspaces are obtained using the extended array data model with the non-circular properties of the sources. This results in a significant improvement in the accuracy of the target position estimation and the number of distinguishable sources compared to the traditional mutual coupling calibration algorithm. In addition, the theoretical mean square error expression for the position estimations of the proposed algorithm under the influence of finite sampling is derived based on the matrix perturbation analysis theory, and the corresponding Cramér-Rao bound is given. Finally, the correctness of the theoretical derivation and the superiority of the method is verified by simulation experiments.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50119527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Markov chain modelling of ordered Rayleigh fading channels in non-orthogonal multiple access wireless networks 非正交多址无线网络中有序瑞利衰落信道的马尔可夫链建模

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-03-01 DOI: 10.1049/sil2.12191

Yunpei Chen, Dan Zhang, Qi Zhu

{"title":"Markov chain modelling of ordered Rayleigh fading channels in non-orthogonal multiple access wireless networks","authors":"Yunpei Chen, Dan Zhang, Qi Zhu","doi":"10.1049/sil2.12191","DOIUrl":"https://doi.org/10.1049/sil2.12191","url":null,"abstract":"A first-order finite-state Markov chain (FSMC) typically models the Rayleigh fading channel in the open literature because the first-order FSMC is analytically tractable and can derive closed-form results. Non-orthogonal multiple access (NOMA) has been recognised as a novel wireless technology that addresses challenges in the next generation of mobile communications. According to the power-domain NOMA protocol, channels in the NOMA wireless network are sorted by the channel gain. Then considering NOMA, there is insufficient information on how to further form a suitable model for ordered Rayleigh fading channels based on the first-order FSMC. Given the mathematical statement on how to model the order statistics of multidimensional Markov chains for ordered Rayleigh fading channels, the authors consider these order statistics as a Markov chain, and propose specific processes of representing the state space and constructing the transition probability matrix accordingly. Numerical and simulation results validate the mathematical correctness and accuracy of these novel processes. In addition, for ordered Rayleigh fading channels, the performances of various methods of partitioning the entire signal-to-noise ratio range are compared. The performance comparison results are the same as those obtained for the individual unordered Rayleigh fading channel.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12191","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50116246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent identification technology for high-order digital modulation signals under low signal-to-noise ratio conditions 低信噪比条件下高阶数字调制信号的智能识别技术

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-02-22 DOI: 10.1049/sil2.12189

Yanping Zha, Hongjun Wang, Zhexian Shen, Yingchun Shi, Feng Shu

{"title":"Intelligent identification technology for high-order digital modulation signals under low signal-to-noise ratio conditions","authors":"Yanping Zha, Hongjun Wang, Zhexian Shen, Yingchun Shi, Feng Shu","doi":"10.1049/sil2.12189","DOIUrl":"https://doi.org/10.1049/sil2.12189","url":null,"abstract":"Based on the successful application of generative adversarial network (GAN) models in the field of image generation, this article introduces GANs into the field of deep learning for communication systems and surveys its application in modulation classification. To solve the difficulties in feature extraction, to address the low recognition accuracy of existing radio signal modulation-type recognition methods, and to adapt to complex electromagnetic environments with high noise interference intensity, this article presents a modulation recognition model for high-order digital signals. This model uses the Morlet wavelet transform to analyse time-frequency signals, uses the excellent image generation performance of a GAN model to extract and reconstruct the features of noise-contaminated time-frequency images, and designs an integrated classification network architecture to classify and predict reconstructed images. The experimental results show that the algorithm model proposed in this article can significantly improve the recognition accuracy of high-order digital modulated signals under low signal-to-noise ratio conditions and can achieve 90% recognition accuracy at a signal-to-noise ratio of 1 dB.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50149396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exploring the spatial correlation in radio tomographic imaging by block-structured sparse Bayesian learning 利用块结构稀疏贝叶斯学习探索无线电断层成像中的空间相关性

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-02-22 DOI: 10.1049/sil2.12185

Jiaju Tan, Xin Zhao, Xuemei Guo, Guoli Wang

{"title":"Exploring the spatial correlation in radio tomographic imaging by block-structured sparse Bayesian learning","authors":"Jiaju Tan, Xin Zhao, Xuemei Guo, Guoli Wang","doi":"10.1049/sil2.12185","DOIUrl":"https://doi.org/10.1049/sil2.12185","url":null,"abstract":"Radio Tomographic Imaging (RTI) is a low-cost computational imaging method realised by the Radio Frequency (RF) signal sensing. The target-induced shadowing effect in the RF sensing network is reconstructed as a probability image to estimate the target's position. Then, the RTI-based Device-free Localization (DFL) is becoming a promising research topic in the Location-based Services applications by the Internet of Things (IoT). However, the multipath interference in the RF sensing network often induces the imaging degradation and decreases the DFL accuracy. To deal with the multipath-induced imaging degradation, considering that the target's shadowing occupies a small spatial range in the RF network and expresses some spatial structure, this article explores the spatial correlation in the target's shadowing. Then, a new RTI reconstruction method based on the Structured Sparse Bayesian Learning is proposed to model the spatial correlation implied in the sparse target's shadowing image. Further, the localisation experiments in actual scenes are conducted to validate the utilisation of the spatial correlation in target's shadowing is able to improve the imaging quality of the RTI system by enhancing the robustness towards the multipath-induced imaging degradation.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50140453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time-difference-of-arrival and frequency-difference-of-arrival estimation for signals with partially known waveform 波形部分已知的信号的到达时间差和到达频率差估计

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-02-22 DOI: 10.1049/sil2.12192

Yan Liu, Yi Zhu, Yuan Zhang, Fucheng Guo

{"title":"Time-difference-of-arrival and frequency-difference-of-arrival estimation for signals with partially known waveform","authors":"Yan Liu, Yi Zhu, Yuan Zhang, Fucheng Guo","doi":"10.1049/sil2.12192","DOIUrl":"https://doi.org/10.1049/sil2.12192","url":null,"abstract":"In many passive localization applications, the reference waveform of the received electromagnetic signals is partly known. The received signals in such scenarios are formulated by modelling the relationship between the received data and the known reference signal waveform and the parameters of interest, such as time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA). By exploiting the prior information carried by the known waveform of the reference signal, the negative impact of random noise can be significantly reduced. Following this guideline, a coherent and an incoherent method is proposed to estimate the TDOA and FDOA parameters between two moving receivers. The Cramer-Row lower bound of the TDOA and FDOA estimation accuracy is also analysed. Simulation results show the advantage of the proposed coherent method in TDOA and FDOA estimation precision over its counterparts, which partially demonstrates that effective exploitation of the known signal waveform can largely improve the performance of TDOA and FDOA estimation.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12192","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50149395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Structural inversion of radar emitter based on stacked convolutional autoencoder and deep neural network 基于堆叠卷积自动编码器和深度神经网络的雷达辐射源结构反演

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-02-20 DOI: 10.1049/sil2.12188

Yilin Jiang, Yu Song, Wei Zhang, Limin Guo

{"title":"Structural inversion of radar emitter based on stacked convolutional autoencoder and deep neural network","authors":"Yilin Jiang, Yu Song, Wei Zhang, Limin Guo","doi":"10.1049/sil2.12188","DOIUrl":"https://doi.org/10.1049/sil2.12188","url":null,"abstract":"As various new radar systems are put into use in complex electromagnetic environments, the extraction of only the time-domain parameters of radar signals cannot achieve the accurate cognition of radar emitters. For this reason, a radar emitter structural inversion method is proposed based on a stacked convolutional autoencoder and deep neural network (SCAE-DNN) to complete the two processes of forward modelling and inversion. The method completes the work of modelling from the structure to radar signals via forward calculations and subsequently obtains the structure via structural inversion. The modelling of different radar radiation sources should be realised through device-level simulation to obtain radar signals with radio frequency (RF) structural characteristics. There is a mapping relationship between the RF structural characteristics and the structure of the radar emitter, and this mapping relationship will not be affected by differences in the time, frequency, and spatial domains. Novel feature extraction approaches are then presented, in which SCAE is used to replace the cumbersome calculation in the traditional algorithm to extract the RF structural characteristics. Finally, it is demonstrated that the inversion of the radar emitter structure can be realised by using the RF structural characteristics via DNN. Experimental results show that this method can accurately invert the radar emitter structure and has a strong generalisation ability for multiple modulated radar signals with additive white Gaussian noise with different signal-to-noise ratios (SNRs).","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50138857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-task multi-scale attention learning-based facial age estimation 基于多任务多尺度注意力学习的人脸年龄估计

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-02-15 DOI: 10.1049/sil2.12190

Chaojun Shi, Shiwei Zhao, Ke Zhang, Xiaohan Feng

{"title":"Multi-task multi-scale attention learning-based facial age estimation","authors":"Chaojun Shi, Shiwei Zhao, Ke Zhang, Xiaohan Feng","doi":"10.1049/sil2.12190","DOIUrl":"https://doi.org/10.1049/sil2.12190","url":null,"abstract":"Face-based age estimation strongly depends on deep residual networks (ResNets), used as the backbone in the relevant research. However, ResNet-based methods ignore the importance of some large-scale facial information and other facial age attributes. Inspired by the attention mechanism, a multi-task learning framework for face-based age estimation called multi-task multi-scale attention is proposed. First, the authors embed the alternative strategy structure of dilated convolution into ResNet34 to construct a multi-scale attention module (MSA) to improve the network's receptive field, which extracts local age-sensitive information while obtaining multi-scale features. The MSA can have a larger receptive field to extract both large-scale and local detailed feature information. Second, multi-task learning network structures are built to predict gender and race, which can share rigid network parameters to improve age estimation and improve the accuracy of age estimation by other age-related parameters. Finally, the Kullback-Leibler divergence loss is adopted between a Dirac delta label and a Gaussian prediction to guide the training. The numerical tests on the MORPH Album II and Adience datasets prove the superiority of the proposed method over other state-of-the-art ones.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12190","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50133644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The improved constant false alarm rate detector based on multi-frame integration for fluctuating target detection in heavy-tailed clutter 基于多帧积分的改进恒虚警率检测器用于重尾杂波中的波动目标检测

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-02-14 DOI: 10.1049/sil2.12145

Chenghu Cao, Yongbo Zhao

{"title":"The improved constant false alarm rate detector based on multi-frame integration for fluctuating target detection in heavy-tailed clutter","authors":"Chenghu Cao, Yongbo Zhao","doi":"10.1049/sil2.12145","DOIUrl":"https://doi.org/10.1049/sil2.12145","url":null,"abstract":"In this paper, attention is devoted to the analysis of the detection threshold based on the multi-frame integration in heavy-tailed clutter for the radar with high resolution and even smaller grazing angle. The closed-form expressions of both the probability of the detection and the probability of false alarm for the heavy-tailed clutter background, which can be used for the theoretical analysis of constant false alarm rate (CFAR) detectors, are derived with the multi-frame integration technique. Accordingly, an improved CFAR detector is designed to work well with the presence of target-like outliers in the heavy-tailed clutter. In addition, the proposed CFAR detector is capable to alleviate the masking-effect resorting to the additive feedback operation when a target is large enough to cross several cells in multi-target case. The theoretical analysis and numerical simulations demonstrate that the proposed CFAR detector based on multi-frame integration can improve the signal-to-clutter rate of the targets exhibiting better performance than ones based on single frame in heavy-tailed clutter background. It is validated from the simulations that the proposed CFAR detector with additive feedback operation can deal with masking-effect for large target occupying several cells.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50150652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-sidelobe waveform design for integrated radar-communication systems based on frequency diversity array 基于频率分集阵列的雷达通信系统低旁瓣波形设计

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-01-31 DOI: 10.1049/sil2.12186

Haozheng Wu, Biao Jin, Zhenkai Zhang, Zhuxian Lian, Zhaoyang Xu, Xiaohua Zhu

{"title":"Low-sidelobe waveform design for integrated radar-communication systems based on frequency diversity array","authors":"Haozheng Wu, Biao Jin, Zhenkai Zhang, Zhuxian Lian, Zhaoyang Xu, Xiaohua Zhu","doi":"10.1049/sil2.12186","DOIUrl":"https://doi.org/10.1049/sil2.12186","url":null,"abstract":"Frequency diversity array (FDA) radar can provide full spatial coverage with stable gains within a pulse duration. Based on the FDA, the integrated radar-communication system can perform multi-directional communication and whole-space detection. However, the embedded communication bits disrupt the correlation of the transmitting waveform of each element. Correspondingly, the range sidelobe level (SLL) of the multi-dimensional ambiguity function increases significantly. To address this issue, a low-sidelobe waveform for integrated radar-communication systems based on the FDA was designed. Two techniques based on the subarray time delay are employed to reduce the SLL in range dimension. Both methods, however, lower the angular resolution. Thus, a tangent FM signal as the baseband waveform to improve the angular resolution was selected. Simultaneously, the received signal processing methods of radar and communication was designed. The performances of the designed waveform are verified by analysing the multi-dimensional ambiguity function and the bit error rate. The simulation results reveal that the proposed method can maintain a good radar target detection capability and satisfy the communication function.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50149355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust sparse time-frequency analysis for data missing scenarios 数据丢失场景下的鲁棒稀疏时频分析

IF 1.7 4区工程技术

IET Signal Processing Pub Date : 2023-01-16 DOI: 10.1049/sil2.12184

Yingpin Chen, Yuming Huang, Jianhua Song

{"title":"Robust sparse time-frequency analysis for data missing scenarios","authors":"Yingpin Chen, Yuming Huang, Jianhua Song","doi":"10.1049/sil2.12184","DOIUrl":"https://doi.org/10.1049/sil2.12184","url":null,"abstract":"Sparse time-frequency analysis (STFA) can precisely achieve the spectrum of the local truncated signal. However, when the signal is disturbed by unexpected data loss, STFA cannot distinguish effective signals from missing data interferences. To address this issue and establish a robust STFA model for time-frequency analysis (TFA) in data loss scenarios, a stationary Framelet transform-based morphological component analysis is introduced in the STFA. In the proposed model, the processed signal is regarded as a sum of the cartoon, texture and data-missing parts. The cartoon and texture parts are reconstructed independently by taking advantage of the stationary Framelet transform. Then, the signal is reconstructed for STFA. The forward-backwards splitting method is employed to split the robust STFA model into the data recovery and robust time-frequency imaging stages. The two stages are then solved separately by using the alternating direction method of multipliers (ADMM). Finally, several experiments are conducted to show the performance of the proposed robust STFA method under different data loss levels, and it is compared with some existing state-of-the-art time-frequency methods. The results indicate that the proposed method outperforms the compared methods in obtaining the sparse spectrum of the effective signal when data are missing. The proposed method has a potential value in TFA in scenarios where data is easily lost.","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50134636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2