A Performance Analysis and Improvement Algorithm for Multiple-Source Direct Localization with Known Signal Waveforms

被引:0
作者
Wang D. [1 ,2 ]
Wu Z.-D. [2 ]
Yin J.-X. [1 ,2 ]
机构
[1] School of Information System Engineering, PLA Information Engineering University, Zhengzhou, 450001, Henan
[2] National Digital Switching System Engineering & Technological Research Center, Zhengzhou, 450002, Henan
来源
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2017年 / 45卷 / 12期
关键词
Alternating projection; Cramér-Rao Bound (CRB); Direct position determination (DPD); Passive localization; Signal waveform; Theoretical performance analysis;
D O I
10.3969/j.issn.0372-2112.2017.12.008
中图分类号
学科分类号
摘要
Compared to the conventional two-step (including direction finding and position estimation) localization mechanism, the direct position determination (DPD) approach presented by Weiss and Amar has lower estimation errors and stronger resolution capability. Moreover, this technique provides a more convenient way to incorporate the signal waveform information. In this paper, the theoretical performance of the DPD algorithm presented by Weiss and Amar (called Weiss-Amar algorithm) is studied analytically. The asymptotical consistency is proved and the closed-form expression of the estimation variance is derived based on the error perturbation analysis method. It is also noted that the localization accuracy of this algorithm will decrease if the signals are correlated with each other. In order to solve this problem, an improved DPD algorithm is proposed for the case of known waveforms. In the new algorithm, the position parameters of all targets are considered as a whole to be estimated by using the alternating projection iteration. The performance improvement compared to the Weiss-Amar algorithm is remarkable for correlated signals. Furthermore, the Cramér-Rao bound (CRB) on the direct position estimation in presence of known waveforms is also deduced. Simulation results corroborate the effectiveness of the theoretical analysis and the advantage of the proposed algorithm. © 2017, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码:2881 / 2889
页数:8
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