基于LPA波束形成的多运动源递归跟踪阵列信号处理

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955340

V. Katkovnik, Yong-Hoon Kim

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引用次数: 0

摘要

提出了时变到达方向(DOA)的加窗线性局部多项式近似(LPA)，用于多运动源的非参数高分辨率估计。该方法给出了方向的瞬时值及其一阶导数的估计。这些估计的渐近方差和偏差被导出并用于最佳窗口大小的选择。提出了边缘波束形成器用于估计和源的可视化。这些边缘波束形成器能够定位和跟踪每个源，单独消除来自所有其他移动源的信号。针对变源doa估计和多源实时跟踪两种不同的任务，开发了估计算法的递归实现。

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Array signal processing for recursive tracking of multiple moving sources based on LPA beamforming

The windowed linear local polynomial approximation (LPA) of the time-varying direction-of-arrival (DOA) is developed for nonparametric high-resolution estimation of multiple moving sources. The method gives the estimates of instantaneous values of the directions as well as their first derivatives. The asymptotic variance and bias of these estimates are derived and used for the optimal window size selection. Marginal beamformers are proposed for estimation and sources visualization. These marginal beamformers are able to localize and track every source individually nulling signals from all other moving sources. Recursive implementation of estimation algorithms are developed for two different tasks: estimation of DOAs with varying number of sources and multiple source tracking in time.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

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.