Spatial and time-frequency signature estimation of nonstationary sources

M. Amin, W. Mu, Yimin D. Zhang
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引用次数: 6

Abstract

Signal synthesis using time-frequency distributions can be improved using an antenna array receiver. The availability of the source signals at different array elements allows the implementation of time-frequency synthesis techniques that utilize the source spatial signatures for crossterm reduction and noise mitigation. We introduce a new technique for signal synthesis based on array averaging of Wigner distributions. The source temporal waveforms are first synthesized and then used to estimate the source spatial signatures. An iterative process incorporating the source signal vector and array vector can be applied until the desired results are reached.
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非平稳源的空间和时频特征估计
使用天线阵列接收器可以改进使用时频分布的信号合成。源信号在不同阵列元素的可用性允许实现时频合成技术,该技术利用源空间特征来减少交叉项和降低噪声。介绍了一种基于维格纳分布阵列平均的信号合成新技术。首先合成源时间波形,然后利用该波形估计源空间特征。结合源信号矢量和阵列矢量的迭代过程可以应用,直到达到所需的结果。
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期刊介绍: Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
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