电子学报2017，Vol.45Issue(12)：2881-2889,9.DOI:10.3969/j.issn.0372-2112.2017.12.008
信号波形已知条件下多目标直接定位性能分析及其改进算法
A Performance Analysis and Improvement Algorithm for Multiple-Source Direct Localization with Known Signal Waveforms
摘要
Abstract
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 WeissAmar 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 algorithrn 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.关键词
无源定位/位置直接估计/信号波形/理论性能分析/克拉美罗界/交替投影Key words
passive localization/direct position determination (DPD)/signal waveform/theoretical performance analysis/Cramér-Rao Bound (CRB)/alternating projection分类
信息技术与安全科学引用本文复制引用
王鼎,吴志东,尹洁昕..信号波形已知条件下多目标直接定位性能分析及其改进算法[J].电子学报,2017,45(12):2881-2889,9.基金项目
国家自然科学基金(No.61201381,No.61401513) （No.61201381,No.61401513）
中国博士后科学基金面上项目(No.2016M592989) （No.2016M592989）
信息工程大学优秀青年基金(No.2016603201) （No.2016603201）
信息工程大学自主科研基金(No.2016600701) （No.2016600701）
某部内科研项目(No.2015201001,No.2015502801,No.2015205901) （No.2015201001,No.2015502801,No.2015205901）
