GMTI mismatch analysis for local invariance clutter mitigation

Hanguang Yu; Xue Jiang; Daniel Bliss

doi:10.1109/RADAR.2016.7485081

GMTI mismatch analysis for local invariance clutter mitigation

Hanguang Yu, Xue Jiang, Daniel Bliss

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Ground-moving-Target indicator (GMTI) has been widely studied and can be formulated into a multiple-input multiple-output (MIMO) radar scenario by taking the advantage of MIMO. Usually, adaptive technique is required for GMTI MIMO radar, which includes space-Time adaptive processing (STAP) and invariance statistics technique (invariance on local ground clutter) as we proposed in this paper. However, GMTI system still suffers from some non-idealities when the adaptive technique is applied. Typically, the model mismatch problem degrades the performance of the adaptive technique. Therefore, the model mismatch analysis of both STAP and invariance technique is investigated in this paper.

Original language	English (US)
Title of host publication	2016 IEEE Radar Conference, RadarConf 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509008636
DOIs	https://doi.org/10.1109/RADAR.2016.7485081
State	Published - Jun 3 2016
Event	2016 IEEE Radar Conference, RadarConf 2016 - Philadelphia, United States Duration: May 2 2016 → May 6 2016

Other

Other	2016 IEEE Radar Conference, RadarConf 2016
Country	United States
City	Philadelphia
Period	5/2/16 → 5/6/16

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications
Instrumentation

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title = "GMTI mismatch analysis for local invariance clutter mitigation",

abstract = "Ground-moving-Target indicator (GMTI) has been widely studied and can be formulated into a multiple-input multiple-output (MIMO) radar scenario by taking the advantage of MIMO. Usually, adaptive technique is required for GMTI MIMO radar, which includes space-Time adaptive processing (STAP) and invariance statistics technique (invariance on local ground clutter) as we proposed in this paper. However, GMTI system still suffers from some non-idealities when the adaptive technique is applied. Typically, the model mismatch problem degrades the performance of the adaptive technique. Therefore, the model mismatch analysis of both STAP and invariance technique is investigated in this paper.",

author = "Hanguang Yu and Xue Jiang and Daniel Bliss",

year = "2016",

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booktitle = "2016 IEEE Radar Conference, RadarConf 2016",

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AU - Jiang, Xue

AU - Bliss, Daniel

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AB - Ground-moving-Target indicator (GMTI) has been widely studied and can be formulated into a multiple-input multiple-output (MIMO) radar scenario by taking the advantage of MIMO. Usually, adaptive technique is required for GMTI MIMO radar, which includes space-Time adaptive processing (STAP) and invariance statistics technique (invariance on local ground clutter) as we proposed in this paper. However, GMTI system still suffers from some non-idealities when the adaptive technique is applied. Typically, the model mismatch problem degrades the performance of the adaptive technique. Therefore, the model mismatch analysis of both STAP and invariance technique is investigated in this paper.

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PB - Institute of Electrical and Electronics Engineers Inc.

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