IET Signal Process.最新文献_第9页

Method for estimating the central frequency of phase-coded radar signals 相位编码雷达信号中心频率的估计方法

IET Signal Process. Pub Date : 2016-06-28 DOI: 10.1049/iet-spr.2016.0237

A. Yildirim

{"title":"Method for estimating the central frequency of phase-coded radar signals","authors":"A. Yildirim","doi":"10.1049/iet-spr.2016.0237","DOIUrl":"https://doi.org/10.1049/iet-spr.2016.0237","url":null,"abstract":"The authors analyse radar carrier frequency estimation errors in digital electronic support measures receivers. They assume that the received signal is phase-coded, real-valued and embedded in white Gaussian noise. The corresponding Cramer–Rao lower bound (CRLB) for the frequency estimation is derived and formulated. The performance degradation can be significant when just a single traditional fast Fourier transform (FFT) algorithm used to estimate the central frequency of a phase-coded signal, where the spectrum is wide and distributes across many frequency bins. In this study, they assume that the FFT magnitude response of the received signal can be approximated by a raised Gaussian-shaped function. The corresponding Gaussian function fitting (GFF) estimator is proposed as a peak frequency estimation technique. Typical FFT-based frequency estimation process is simulated and the performance of the GFF estimator is compared with that of the most commonly used peak estimators: namely, with the maximum point (MAX) and the spline interpolation (INT). GFF estimator performance is also compared with a K-means-based peak estimator. With extensive set of simulations for different code lengths, they demonstrate that the proposed technique significantly reduces carrier (central) frequency estimation errors while illustrating CRLB within the figure.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114649759","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: 5

Robust adaptive beamforming against large DOA mismatch with linear phase and magnitude constraints for multiple-input-multiple-output radar 基于线性相位和幅度约束的多输入多输出雷达大DOA不匹配鲁棒自适应波束形成

IET Signal Process. Pub Date : 2016-06-28 DOI: 10.1049/iet-spr.2015.0521

Hongbo Yu, Da-Zheng Feng, Xiaokun Yao

{"title":"Robust adaptive beamforming against large DOA mismatch with linear phase and magnitude constraints for multiple-input-multiple-output radar","authors":"Hongbo Yu, Da-Zheng Feng, Xiaokun Yao","doi":"10.1049/iet-spr.2015.0521","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0521","url":null,"abstract":"In this study, a robust adaptive beamformer against large direction-of-arrival (DOA) mismatch for multiple-input–multiple-output radar is proposed with linear phase and magnitude constraints on main lobe. First, the full-dimensional weight vector (WV) is expressed as the Kronecker product of the transmit and receive array WVs based on the WV separable principle. For the transmit array WV, the authors find an interesting property that the Fourier spectrum of its conjugate inverse arrangement is equal to its array response function within a phase factor. This property also exists in the receive array WV. Using this property, the phase response of the transmit and receive array, respectively, is set to be linear based on designing a finite impulse response filter. Then, a bi-quadratic cost function with respect to the transmit and receive WVs is established by only constraining the real magnitude response and it is effectively solved by the bi-iterative algorithm. The proposed beamformer has lower computational complexity and faster sample convergence rate, compared with the traditional magnitude response constraints beamformers with full degrees of freedom. Moreover, it can provide good robustness against large DOA mismatch. Numerical experiments are provided to demonstrate the effectiveness of the proposal.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123013765","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

Image super-resolution reconstruction using the high-order derivative interpolation associated with fractional filter functions 基于分数阶导数插值的图像超分辨率重建

IET Signal Process. Pub Date : 2016-06-20 DOI: 10.1049/iet-spr.2015.0444

Deyun Wei

{"title":"Image super-resolution reconstruction using the high-order derivative interpolation associated with fractional filter functions","authors":"Deyun Wei","doi":"10.1049/iet-spr.2015.0444","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0444","url":null,"abstract":"In this stydy, the authors present a single image super-resolution (SISR) reconstruction based on high-order derivative interpolation (HDI) in the fractional Fourier transform (FRFT) domain. First, the HDI formula is derived using a simple technique, which is based on the relationship between the fractional band-limited signal and the traditional band-limited signal. This interpolation formula contains the derivative information of the image and the FRFT domain filter functions (FDFF). Moreover, the advantages of the FDFF are also analysed. Second, the new SISR reconstruction is presented via the HDI. The main advantage is that the presented method involves the derivatives of an image in the resizing process. Moreover, the authors take advantage of the FDFF to resize the image. Furthermore, three evaluation criteria and some simulations are presented to validate the effectiveness of the proposed method. Last, the proposed method is applied to colour image processing. For a colour image case, the RGB colour space is chosen for super-resolution reconstruction. In addition to peak signal-to-noise ratio, the authors have also used the correlation to assess the quality of the reconstruction. Compared with many methods, extensive experimental results validate that the proposed method can obtain the better-edge characteristic, less blur and less aliasing.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117351274","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: 48

Shape selection partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter for extended target tracking 面向扩展目标跟踪的高斯反Wishart概率假设密度滤波器的形状选择分割算法

IET Signal Process. Pub Date : 2016-06-20 DOI: 10.1049/iet-spr.2015.0503

Peng Li, H. Ge, Jinlong Yang, Huanqing Zhang

引用次数: 11

Modified generalised likelihood ratio test for detecting a regular respiratory signal in through-wall life detection 在穿壁生命检测中检测有规律呼吸信号的改进广义似然比检验

IET Signal Process. Pub Date : 2016-06-03 DOI: 10.1049/iet-spr.2016.0085

Xin Li, Ye Li

引用次数: 3

Time differences of arrival estimation of mixed interference signals using blind source separation based on wireless sensor networks 基于无线传感器网络的盲源分离混合干扰信号到达时间差估计

IET Signal Process. Pub Date : 2016-06-01 DOI: 10.1049/iet-spr.2016.0002

Pengwu Wan, B. Hao, Zan Li, Licun Zhou, Mian Zhang

引用次数: 17

Modified artificial bee colony optimisation based FIR filter design with experimental validation using field-programmable gate array 基于现场可编程门阵列的改进人工蜂群优化FIR滤波器设计与实验验证

IET Signal Process. Pub Date : 2016-06-01 DOI: 10.1049/iet-spr.2015.0214

Atul Kumar Dwivedi, Subhojit Ghosh, N. Londhe

{"title":"Modified artificial bee colony optimisation based FIR filter design with experimental validation using field-programmable gate array","authors":"Atul Kumar Dwivedi, Subhojit Ghosh, N. Londhe","doi":"10.1049/iet-spr.2015.0214","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0214","url":null,"abstract":"Optimisation based design of finite impulse response (FIR) filters has been an active area of research for quite some time. The various algorithms proposed for FIR filter design aim at meeting a set of desired specifications in the frequency domain. Evolutionary algorithms have been found to be very effective for FIR filter design because of the non-linear, non-differentiable and non-convex nature of the associated optimisation problem. The present work proposes two modified versions of a recently developed evolutionary technique i.e. artificial bee colony (ABC) algorithm for design of FIR filters. The applicability of the proposed approach has been evaluated by comparing its response with conventional reported filter design techniques. The proposed variants of ABC are found to outperform other non-convex algorithms in achieving the desired specifications. In addition to the simulation results, the designed filters have been implemented in hardware using Xilinx-xc7vx330t-3ffg1157 (Virtex-7) field programmable gate array. The hardware implementation allows validation of the proposed techniques for practical filtering applications by considering real time operation parameters.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126982603","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: 17

Weighted double-backtracking matching pursuit for block-sparse reconstruction 块稀疏重构的加权双回溯匹配追踪

IET Signal Process. Pub Date : 2016-06-01 DOI: 10.1049/iet-spr.2016.0036

Liye Pei, H. Jiang, Ming Li

引用次数: 6

Analytical method for optimum non-negative integer bit allocation 非负整数位最优分配的解析方法

IET Signal Process. Pub Date : 2016-06-01 DOI: 10.1049/iet-spr.2014.0336

Mahdi Hatam, M. Masnadi-Shirazi

引用次数: 3

Reweighted regularised variable step size normalised least mean square-based iterative channel estimation for multicarrier-interleave division multiple access systems 多载波交错分多址系统的重加权正则变步长归一化最小均方迭代信道估计

IET Signal Process. Pub Date : 2016-06-01 DOI: 10.1049/iet-spr.2016.0008

O. Oyerinde

{"title":"Reweighted regularised variable step size normalised least mean square-based iterative channel estimation for multicarrier-interleave division multiple access systems","authors":"O. Oyerinde","doi":"10.1049/iet-spr.2016.0008","DOIUrl":"https://doi.org/10.1049/iet-spr.2016.0008","url":null,"abstract":"This study focuses on channel estimation scheme in multicarrier-interleave division multiple access (MC-IDMA)-based wireless communications. Specifically, a new adaptive algorithm is derived and proposed for implementation of the channel estimation in the MC-IDMA system. The proposed algorithm is named reweighted regularised variable step size normalised least mean square (R-RVSSNLMS). The proposed algorithm-based channel estimator exploits inherent sparsity in the orthogonal frequency division multiplexing channels in order to enhance its performance. Computer simulation results that show the comparison of the performance of the R-RVSSNLMS-based channel estimator with that of the channel estimators based on some families of least mean square algorithms are documented in this study. The results show that the performance of the proposed R-RVSSNLMS-based channel estimator is better than that of the other conventional estimators presented in this study. However, the proposed channel estimator exhibits negligible high computational complexity in comparison with other channel estimators considered in this study for the MC-IDMA system.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134258553","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: 5