Compressive TDOA Estimation: Cramer-Rao Bound and Incoherent Processing

被引：12
|
作者：
Cao, Hui [1 ]
Chan, Y. T. [2 ]
So, Hing Cheung [3 ]
机构：
[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China
[2] Royal Mil Coll Canada, Dept Elect & Comp Engn, Kingston, ON K7K 7B4, Canada
[3] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2020年 / 56卷 / 04期
关键词：
Estimation; Signal to noise ratio; Discrete Fourier transforms; Technological innovation; Compressed sensing; Sensor arrays; Cramer-Rao bound (CRB); incoherent processing; time-difference-of-arrival (TDOA) estimation; TIME-DELAY;
D O I：
10.1109/TAES.2020.2966095
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Estimation of time-difference-of-arrival (TDOA) between a signal and its time-shifted version has many applications, mostly in localization. Because compressive sensing (CS) can reduce the sampling rate and data volume, TDOA estimation from CS samples (CS-TDOA) has become a subject of interest. Generally, CS-TDOA has lower estimation accuracy, and the Cramer-Rao bound (CRB) can quantify this degradation. The first part of this correspondence derives the CRB for CS-TDOA estimation, and the second part proposes an incoherent processing scheme for CS-TDOA estimation using partial Fourier coefficients. This results in the reduction of the number of sampling channels needed to acquire those coefficients. Simulation results are given to corroborate the theoretical development.
引用
收藏
页码：3326 / 3331
页数：6
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