动平台分布式相参雷达自校准性能分析

Translated title of the contribution: Performance Analysis of Self-Calibration on Distributed Coherent Radar System with Moving Platforms

Jiaxin Lu, Jingyi Sun, Feifeng Liu, Quanhua Liu, Yingjie Miao

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Distributed coherent radar on moving platforms can guarantee the mobility,scalability and low cost of the radar system while achieving high precision target estimation performance. Aiming at the position deviation and velocity deviation of the distributed coherent radar,the tightness of the hybrid Cramer-Rao bound(HCRB)is firstly analyzed in this paper. Then,the explicit expression of the angular estimation accuracy under the condition of unidentifiability is derived by using the HCRB. By solving the analytical solution formula,the influence of radar system parameters and topological parameters on the parameters to be estimated can be directly analyzed through the explicit expression,which is conducive to the selection and design of the hardware parameters of the radar system in the future.

Translated title of the contributionPerformance Analysis of Self-Calibration on Distributed Coherent Radar System with Moving Platforms
Original languageChinese (Traditional)
Pages (from-to)395-400
Number of pages6
JournalJournal of Signal Processing
Volume38
Issue number2
DOIs
Publication statusPublished - Feb 2022

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