Cramér–Rao bound analysis for joint target location and velocity estimation in frequency modulation based passive radar networks. Issue 7 (1st September 2016)

• Record Type: Journal Article
• Authors: Shi, Chenguang; Wang, Fei; Zhou, Jianjiang
• Is Part Of: IET signal processing. Volume 10:Issue 7(2016)
• Page Start: 780
• Page End: 790
• Publication Date: 2016-09-01
• Subjects: passive radar -- radar tracking -- target tracking -- Doppler radar -- numerical analysis -- radar signal processing; Cramér‐Rao bound analysis -- joint target location -- velocity estimation -- frequency modulation -- passive radar networks -- Doppler resolution -- FM commercial radio signals -- passive radar applications -- spatial diversities -- signal diversities -- target parameter -- radio signals -- passive radar network systems -- numerical simulations -- transmitted waveforms; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/iet-spr.2015.0450
• Languages: English
• ISSNs: 1751-9675

Abstract

Abstract : With the wide spread availability and the favourable Doppler resolution, the frequency modulation (FM) commercial radio signals have become attractive for passive radar applications. Passive radar networks using multiple illuminators of opportunity and multichannel receivers have been shown to offer significant performance improvement owing to their advantage of signal and spatial diversities. In this study, the authors compute the joint Cramér–Rao lower bound (CRLB) for the target parameter (delay and Doppler) estimation error utilising FM commercial radio signals as illuminators of opportunity for passive radar network systems, where the non‐coherent and coherent processing scenarios are considered. The numerical simulations are provided to show that the joint CRLB is not only a function of the transmitted waveforms but also of the relative geometry between the target and the passive radar networks for both non‐coherent and coherent cases. The expressions for joint CRLB are an important performance metric for target parameter estimation in FM‐based passive radar networks.