Joint Scan Rate and Emitter Location Estimation Algorithm in SBR System Based on AOA and DTOST Measurements

Wanchun Li; Li Wang; Tianliu Yang; Weiqin Zou; Xiaoyan Peng; Huaguo Zhang

doi:10.1109/ACCESS.2020.2985068

IEEE Access (Jan 2020)

Joint Scan Rate and Emitter Location Estimation Algorithm in SBR System Based on AOA and DTOST Measurements

Wanchun Li,
Li Wang,
Tianliu Yang,
Weiqin Zou,
Xiaoyan Peng,
Huaguo Zhang

Affiliations

Wanchun Li: ORCiD; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
Li Wang: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
Tianliu Yang: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
Weiqin Zou: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
Xiaoyan Peng: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
Huaguo Zhang: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

DOI: https://doi.org/10.1109/ACCESS.2020.2985068
Journal volume & issue: Vol. 8
pp. 66598 – 66608

Abstract

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A joint scan rate and emitter location estimation algorithm in scan-based radar (SBR) system based on the angle-of-arrival (AOA) and the difference time of scan time (DTOST) measurements is proposed in this paper. SBR localization is a kind of passive geolocation technique for stationary pulsed radars. To date, a huge number of passive localization techniques using AOA, DTOST or other measurements for SBR have been developed assuming prior knowledge of the scan rate. However, it is usually hard to obtain the accurate scan velocity in most of practical civilian and military applications. In this paper, by using the linear correlation between AOA and DTOST, the maximum likelihood (ML) estimation algorithm based on linear constraints is given to obtain the scan rate of SBR. And the new AOA information after fusion is acquired on this basis. Then the weighted least square (WLS) method is used for SBR localization and the Cramer-Rao lower bound (CRLB) is derived for SBR location estimation. A detailed analysis of scan rate and emitter location estimation process is given and the effectiveness of the proposed localization algorithm is illustrated with computer simulations.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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