Multi-channel Signal Modeling and AMTI Performance Analysis for Distributed Space-based Radar Systems

Author(s)Chen, Jiangyuan
Author(s)Huang, Penghui
Author(s)Xia, Xiang-Gen
Author(s)Chen, Junli
Author(s)Sun, Yongyan
Author(s)Liu, Xingzhao
Author(s)Liao, Guisheng
Date Accessioned2022-09-22T13:38:49Z
Date Available2022-09-22T13:38:49Z
Publication Date2022-08-29
Description© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.This article was originally published in IEEE Transactions on Geoscience and Remote Sensing. The version of record is available at:
AbstractDue to the limited size, carrying capacity, power-aperture product, and high hardware cost of satellite platform, the traditional single-platform spaceborne radar system encounters the problems of poor target minimum detectable velocity (MDV) performance, considerably deteriorating the moving target detection performance. To improve the air moving target indication (AMTI) performance, especially for a weak target, distributed space-based radar system (DSBR) becomes a good candidate due to the longer along-track baseline (ATB) and spatial power synthesis. However, due to the sparse configuration of radar baseline distribution, the detection performance of air moving targets (AMTs) will be restricted by many practical factors in an actual DSBR system. In this paper, multi-channel signal models of an observed moving target and ground clutter are accurately established in a DSBR framework, where the error influences of cross-track baseline (CTB), terrain fluctuation, and channel inconsistency response are considered. Then, the influence of the non-ideal factors, including the channel noise, long-intersatellite ATB, long-intersatellite CTB, synchronization errors, and interchannel amplitude and phase inconsistency errors, on the AMTI performance is analyzed term by term. The simulation results provide the useful guidance for the system design of a DSBR with the AMTI tasks.en_US
SponsorThis work was supported in part by the National Natural Science Foundation Program of China under Grant 62171272, in part by the USCAST2021-15.en_US
CitationJ. Chen et al., "Multi-channel Signal Modeling and AMTI Performance Analysis for Distributed Space-based Radar Systems," in IEEE Transactions on Geoscience and Remote Sensing, 2022, doi: 10.1109/TGRS.2022.3202567.en_US
PublisherIEEE Transactions on Geoscience and Remote Sensingen_US
KeywordsDistributed space-based early warning radar (DSBR)en_US
Keywordsair moving target indication (AMTI)en_US
Keywordsspace-time adaptive processing (STAP)en_US
Keywordsinterchannel correlation analysisen_US
TitleMulti-channel Signal Modeling and AMTI Performance Analysis for Distributed Space-based Radar Systemsen_US
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