Distributed Parametric Detection in the Presence of Subspace Interference

被引：0
作者：
Shikhaliev, Azer P. [1 ]
Himed, Braham [1 ]
机构：
[1] Air Force Res Lab, Distributed RF Sensing Branch, Wright Patterson AFB, OH 45433 USA
来源：
2022 IEEE RADAR CONFERENCE (RADARCONF'22) | 2022年
关键词：
Adaptive detection; auto-regressive modeling; adaptive radar; distributed radar; clutter; subspace interference; ADAPTIVE DETECTION; TARGET DETECTION; MIMO RADAR; CLUTTER; NOISE;
D O I：
10.1109/RADARCONF2248738.2022.9764279
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper considers the detection of a target in a distributed radar system, wherein the received reflections from the said target are contaminated with clutter returns. We model this clutter, as well as additional interference, as a superposition of an auto-regressive process and deterministic interference coming from a known subspace. A parametric adaptive detector is derived for this scenario based on an approximate generalized likelihood ratio test (GLRT), and is shown to have a detection performance that is robust to strong subspace interference.
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页数：6
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