Closed-Form Localization Method for Moving Target in Passive Multistatic Radar Network

Autor:	Qun Wan, Di Zhang, Fengrui Zhang, Jifeng Zou, Yimao Sun
Rok vydání:	2020
Předmět:	Noise measurement Computer science 010401 analytical chemistry Mimo radar 01 natural sciences 0104 chemical sciences Noise symbols.namesake Bistatic radar symbols Multistatic radar Range (statistics) Electrical and Electronic Engineering Instrumentation Doppler effect Algorithm
Zdroj:	IEEE Sensors Journal. 20:980-990
ISSN:	2379-9153 1530-437X
DOI:	10.1109/jsen.2019.2944957
Popis:	Utilizing the bistatic range (BR) and bistatic range rate (BRR) obtained from time delay difference and Doppler shift difference, a moving target can be localized with the passive multistatic radar (PMR) network. This paper presents a two-stage closed-form method for target localization in PMR. Different from the conventional two-stage weighted least squares (TSWLS) methods, the proposed method employs the weighted spherical-interpolation method to obtain an initial estimate in the first stage and reduces the error in the initial estimate with the deviation refinement in the second stage. Theoretical analysis through mean-square error (MSE) shows the proposed method approaches the Cramer-Rao lower bound (CRLB) accuracy under the assumption of mild measurement noises. Simulation results validate the analytical results. The proposed method is also shown to achieve the accuracy improvement in target velocity estimate at relatively higher noise levels.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c7cbd13a635c2850fc9ee9c08a22e9fc https://doi.org/10.1109/jsen.2019.2944957 Zobrazit plný text záznamu