A Persymmetric AMF for range localization in partially homogenous environment
ID:140 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:359 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS07Advanced Techniques In Radar Detection, Localization, And Electronic Counter-Measures

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Abstract
In this paper, we focus on the problem of point-like targets detection in a partially homogeneous interference environment with unknown covariance matrix. To this end, we assume the disturbances in both the cell under test and the secondary data share the same covariance matrix up to an unknown power scaling factor. Specifically, we jointly exploit the spillover of target energy to consecutive range samples and the persymmetric structure of the disturbance covariance matrix to improve the performances of target detection and range estimation. An adaptive architecture, referred to as the persymmetric modified AMF for partially homogeneous environment, is developed by relying on the ad hoc modifications of the generalized likelihood ratio test. Finally, a preliminary performance assessment highlights that the proposed decision scheme guarantees better detection and range localization performance compared with their natural competitors in sample starved environment.
Keywords
Space-time Detection; persymmetric; Range Estimation; GLRT; partially homoge- neous environment
Speaker
Linjie Yan
Institute of Acoustics, Chinese Academy of Sciences, China

Submission Author
Linjie Yan Institute of Acoustics, Chinese Academy of Sciences, China
Congan Xu Research Institute of Information Fusion, China
Da Xu Institute of Acoustics, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China
Chengpeng Hao Institute of Acoustics, Chinese Academy of Sciences, China
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    Jun 08

    2020

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    Jun 11

    2020

  • Jan 12 2020

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  • Apr 15 2020

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