An Approximate Maximum Likelihood Algorithm for Target Localization in Multistatic Passive Radar?

• 作者: GAO Fei QIN Zhaotao WANG Jun WEI Shaoming
• 来源期刊: 中国电子杂志（英文版）
• 年，卷（期）: 2019,（1）
• 页码范围: 195-201
• 页数: 7页
• 语种: 英文
• DOI: 10.1049/cje.2018.02.018

摘要

This paper addresses the problem of target localization using Bistatic range (BR) measurements in a distributed multistatic passive radar system. The range-based positioning technique employs multiple transmitter-receiver pairs, which provide separate BR measurements. Based on the Maximum likelihood (ML) function, an efficient algebraic Approximate maximum likelihood (AML) algorithm for single target localization is proposed. The closed-form AML solution has neither initial condition requirements nor convergence difficulty. Simulations are included to compare its performance to that of the Cramer-Rao lower bound (CRLB) and the Two-step Weighted least squares (TS-WLS) algorithm. The proposed method is shown to be able to achieve the CRLB accuracy under Gaussian measurement noise. It is more robust to noise than the TS-WLS method, and presents relative insensitivity to target-sensor geometry.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	WANG Jun		2	0	0.0	0.0
2	GAO Fei		2	0	0.0	0.0
3	QIN Zhaotao		1	0	0.0	0.0
4	WEI Shaoming		1	0	0.0	0.0