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2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)最新文献

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Construction of Electronic Experimental Teaching System based on Cultivation of Self-regulated Learning Ability 基于自主学习能力培养的电子实验教学体系构建
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984304
Chengkai Tang, Jiawei Ding, Lingling Zhang, Yi Zhang, Huajie Lin, T. Bao
{"title":"Construction of Electronic Experimental Teaching System based on Cultivation of Self-regulated Learning Ability","authors":"Chengkai Tang, Jiawei Ding, Lingling Zhang, Yi Zhang, Huajie Lin, T. Bao","doi":"10.1109/ICSPCC55723.2022.9984304","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984304","url":null,"abstract":"Under the circumstances of a new round of scientific and technological revolution and industrial transformation, the educational reform of china is step by step, the training of future Engineering researchers has been transformed from single professional training to compound general training and the knowledge system is updating faster and faster. Double-class universities should pay more attention to the cultivation of self-regulated learning ability in the core training of engineering research. This article takes the large electronic experimental teaching as an example, combine and redistribute existing electronic experimental teaching class, establish a basic, improved and comprehensive three-layer experimental teaching system, focus on cultivating students' self-regulated learning ability. An effective experimental teaching evaluation system is constructed from three aspects: pre-study, interactive classroom and after-school process. Through three years of experimental teaching survey and return visits, students have an overall improvement in the six dimensions of self-regulated learning ability. It provides support and guarantee for the training of electronic composite talents in the double-class universities and have a certain case value.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Adaptive Spatial Filtering Algorithm Based On Nonlocal Mean Filtering For GNSS-based InSAR 基于非局部均值滤波的gnss InSAR自适应空间滤波算法
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984386
Runze Shang, Feifeng Liu, Zhanze Wang, Jian Gao, Jingtian Zhou, Di Yao
{"title":"An Adaptive Spatial Filtering Algorithm Based On Nonlocal Mean Filtering For GNSS-based InSAR","authors":"Runze Shang, Feifeng Liu, Zhanze Wang, Jian Gao, Jingtian Zhou, Di Yao","doi":"10.1109/ICSPCC55723.2022.9984386","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984386","url":null,"abstract":"3D deformation retrieval can be achieved through joint using different navigation satellites as the transmitters in Global navigation satellite system(GNSS)-based InSAR systems. However, multi-source errors will seriously reduce the deformation retrieval accuracy. In this paper, an adaptive spatial filtering algorithm based on nonlocal mean filtering is proposed for GNSS-based InSAR system. First, the search area is introduced to describe the areas where deformations interact with each other based on the persistent scatter point. Then, the 3D deformation retrieval accuracy is improved based on the nonlocal mean filtering for the selected Permanent Scatterers. The raw data from eight Beidou satellites are used to prove the effectiveness of the proposed algorithm.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134241719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Student-t Mixture GLMB Filter with Heavy-tailed Noises 带重尾噪声的Student-t混合型GLMB滤波器
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984381
Xiaolong Hu, Q. Zhang, Baojun Song, Mengxiao Zhao, Zhiquan Xia
{"title":"Student-t Mixture GLMB Filter with Heavy-tailed Noises","authors":"Xiaolong Hu, Q. Zhang, Baojun Song, Mengxiao Zhao, Zhiquan Xia","doi":"10.1109/ICSPCC55723.2022.9984381","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984381","url":null,"abstract":"The generalized labeled multi-Bernoulli (GLMB) filter acts as a prospective solution in multi-target tracking (MTT) applications. Nevertheless, considering the heavy-tailed process together with measurement noises, the emerged noise outliers can seriously deteriorate the tracking performance exhibited by the GLMB filter. In order to solve this challenging issue, the study develops a Student-t mixture GLMB (STM-GLMB) filter, which employs multivariate St models for adapting the heavy-tailed noises (HTNs), deriving the closed-form implementation regarding the GLMB filter for propagating the parameters of the STM models considering the multi-target St distributions. The filter becomes tractable relying on the introduction of approximations. According to simulation results, the STM-GLMB multi-target tracking algorithm is valid and stable in heavy-tailed process and measurement noises.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131738901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
MIMO TFT-OFDM for Underwater Acoustic Communication with Bidirectional Soft Decision Feedback Equalization 基于双向软判决反馈均衡的MIMO TFT-OFDM水声通信
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984271
Zihao Ye, Shefeng Yan, Binbin Yang
{"title":"MIMO TFT-OFDM for Underwater Acoustic Communication with Bidirectional Soft Decision Feedback Equalization","authors":"Zihao Ye, Shefeng Yan, Binbin Yang","doi":"10.1109/ICSPCC55723.2022.9984271","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984271","url":null,"abstract":"Conventional underwater acoustic multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system adopts orthogonal pilots, which leads to low spectral efficiency. In this paper, we propose an iterative time-frequency training OFDM (TFT-OFDM) scheme for underwater acoustic MIMO systems to improve spectral efficiency. Each TFT-OFDM symbol contains the time-domain training sequence and frequency-domain orthogonal pilots. The time-domain training sequence is used to estimate the path delays without eliminating the influence of OFDM symbols. By using the estimated path delays and the sparse characteristics of the underwater acoustic channel, the path amplitudes can be obtained with fewer pilots. In addition, the bidirectional soft decision feedback equalizer (BiSDFE) is introduced into the underwater acoustic MIMO system. BiSDFE eliminates intercarrier interference from both directions by combining the results of forward and backward decision feedback equalization to mitigate error propagation. Simulation results demonstrate that the proposed MIMO TFT-OFDM system achieves better bit error rate (BER) performance and higher spectral efficiency than the MIMO ZP-OFDM system.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130391584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Effects of UAV Design Parameters on Its Dynamic Soaring Performance 无人机设计参数对其动态翱翔性能的影响
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984511
Z. Hang, He Lei
{"title":"The Effects of UAV Design Parameters on Its Dynamic Soaring Performance","authors":"Z. Hang, He Lei","doi":"10.1109/ICSPCC55723.2022.9984511","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984511","url":null,"abstract":"Dynamic soaring is a repeated cycle maneuver in which birds such as albatrosses extract energy from wind shear conditions. Morphing technology is a very effective method to improve the dynamic soaring performance of UAVs. The dynamic soaring characteristics of UAVs can be studied through the changes of the time gradient of the total energy. The albatross inspired UAV is designed based on the dimension scale of the wandering albatross. According to the expression of the time gradient of the total energy, the effects of the wind gradient, airspeed, total mass, wing span and aspect ratio of UAVs on the time gradient of the total energy is studied based on the parameters of the albatross inspired UAV prototype. The analysis results clarify the influence laws of each parameter on the time gradient of the total energy. The conclusions have important guiding significance for the design of UAVs considering dynamic soaring performance.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132290975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Radar-Enhanced Image Fusion-based Object Detection for Autonomous Driving 基于雷达增强图像融合的自动驾驶目标检测
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984358
Yaqing Gu, Shiyu Meng, Kun Shi
{"title":"Radar-Enhanced Image Fusion-based Object Detection for Autonomous Driving","authors":"Yaqing Gu, Shiyu Meng, Kun Shi","doi":"10.1109/ICSPCC55723.2022.9984358","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984358","url":null,"abstract":"Accurate and robust object detection is imperative to the implementation of autonomous driving. In real-world scenarios, the effectiveness of image-based detectors is limited by low visibility or harsh circumstances. Owing to the immunity to environmental variability, millimeter-wave (mmWave) radar sensors are complementary to camera sensors, opening up the possibility of radar-camera fusion to improve object detection performance. In this paper, we construct a Radar-Enhanced image Fusion Network (REFNet) for 2D object detection in autonomous driving. Specifically, the radar data is projected onto the camera image plane to unify the data format of heterogeneous sensing modalities. To overcome the sparsity of radar point clouds, we devise an Uncertainty Radar Block (URB) to increase the density of radar points considering the azimuth uncertainty of radar measurements. Additionally, we design an adaptive network architecture which supports multi-level fusion and has the ability to determine the optimal fusion level. Moreover, we incorporate a robust attention module within the fusion network to exploit the synergy of radar and camera information. Evaluated with the canonical nuScenes dataset, our proposed method consistently and significantly outperforms the image-only version under all scenarios, especially in nightly and rainy conditions.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"60 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114117542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Diffusion Constant Modulus Algorithm for Blind Equalization 盲均衡的扩散常模算法
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984630
Kang-ming Yuan, Junnan Zhuo, Wei Gao, Lingling Zhang, Jing Chen
{"title":"Diffusion Constant Modulus Algorithm for Blind Equalization","authors":"Kang-ming Yuan, Junnan Zhuo, Wei Gao, Lingling Zhang, Jing Chen","doi":"10.1109/ICSPCC55723.2022.9984630","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984630","url":null,"abstract":"The constant modulus algorithm (CMA) has the advantage of not requiring a training sequence but only relying on a priori known stochastic of the transmitted data sequence to achieve blind adaptive channel equalization. In this paper, we propose a novel diffusion constant modulus algorithm (DCMA) over networks composing of sensors located at the receiver array for blind equalization of communication channels. The proposed DCMA algorithm can perform much better in a decentralized manner than the conventional noncooperative CMA algorithm. Simulation results of blind channel equalization corroborate the improved performance of DCMA algorithm in terms of bit error rate at different SNR.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121818403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Reinforcement Learning Based Radar Anti-Jamming Strategy Design against a Non-Stationary Jammer 基于强化学习的非平稳干扰雷达抗干扰策略设计
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984459
Jie Geng, B. Jiu, Kang Li, Yu Zhao, Hongzhi Liu
{"title":"Reinforcement Learning Based Radar Anti-Jamming Strategy Design against a Non-Stationary Jammer","authors":"Jie Geng, B. Jiu, Kang Li, Yu Zhao, Hongzhi Liu","doi":"10.1109/ICSPCC55723.2022.9984459","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984459","url":null,"abstract":"In modern electronic warfare, the jamming strategy is more complex than before and the jammer is capable of changing its strategy. Traditional anti-jamming strategy learning methods apply reinforcement learning (RL) and cannot handle the non-stationary jamming strategy. To address that issue, we propose a method that combines RL and supervised learning (SL) to design an anti-jamming strategy for frequency-agile (FA) radar. Firstly, we consider three jamming strategies, which include changes in the duration and type of jamming. And the non-stationary jammer is described by the uncertainty of the jamming strategy. Secondly, by analyzing the non-stationary characteristics of the jamming strategy, an anti-jamming algorithm of joint RL and SL is proposed, and we give the specific process of the algorithm. Finally, the simulation experiments demonstrate that the proposed method can effectively deal with the dynamically changing mainlobe interference, and the anti-jamming performance of the proposed method is robust.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121163144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-channel frequency domain adaptive line spectrum enhancement technology based on line array 基于线阵列的多通道频域自适应线谱增强技术
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984549
Yang Yu, Mingguang Li, Yufei Wang, Weijie Ning, Yi Zhang
{"title":"Multi-channel frequency domain adaptive line spectrum enhancement technology based on line array","authors":"Yang Yu, Mingguang Li, Yufei Wang, Weijie Ning, Yi Zhang","doi":"10.1109/ICSPCC55723.2022.9984549","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984549","url":null,"abstract":"For the issue of weak line spectrum target autonomous detection of unmanned platform in complex underwater environments, the multi-channel frequency domain adaptive line spectrum enhancement technology base on line array is proposed. This paper uses the relationship between coherence properties of line spectrum signals and the same delays of two adjacent array elements, and after averaging the cross-spectrum of two adjacent array elements, enhances the spectrum of the acquired signals. The Inverse Fourier Transform is taken as input signals of frequency domain adaptive filter, and to a certain extent, the SNR of the input signals is improved, and the processing gain is improved. The simulation result shows that when the input SNR is -21dB, the processing gain of this algorithm is 10.3dB higher than that of the STALE algorithm. The simulation and sea trial data indicate that the performance of this algorithm is greatly improved than that of STALE algorithm. Compared with the existing line spectrum target detection algorithm based on line spectrum characteristics, the algorithm in this Paper has lower requirements on SNR, and in complex situations such as the situations of multi-target and multi-line spectrum, etc., has better line spectrum target detection performance.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121273300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Near-field Source Location Estimation Algorithm Based on Coprime Array 基于Coprime阵列的近场源定位估计算法
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI: 10.1109/ICSPCC55723.2022.9984352
Yu Tian, Xuhu Wang, Xu Jin, Yujun Hou
{"title":"Near-field Source Location Estimation Algorithm Based on Coprime Array","authors":"Yu Tian, Xuhu Wang, Xu Jin, Yujun Hou","doi":"10.1109/ICSPCC55723.2022.9984352","DOIUrl":"https://doi.org/10.1109/ICSPCC55723.2022.9984352","url":null,"abstract":"For the problems of uniform linear array (ULA) that the number of detection signals is limited by the number of array elements, and the array spacing is limited by half-wavelength, this paper proposes a near-field source location estimation method based on coprime arrays. The proposed method preprocesses the data received by the coprime array to establish an off-grid model that only contains angle parameters, and direction of arrival (DOA) estimation of incident signal is obtained by iterative method. By fixing the estimated angle, this paper constructs a distance parameter off-grid model, and distance estimation is obtained by the iterative method. At the same time, the estimated angle and the estimated distance are matched to determine the source position. Theoretical analysis and experimental results demonstrate that the method in this paper enlarges the array aperture, effectively improves the estimation accuracy of DOA and distance, and still has good estimation performance under the condition of low signal-to-noise ratio or small snapshots.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115084788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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