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Iterative Pre-Whitening Projection Statistics for Improving Multi-Target Detection Performance in Non-Homogeneous Clutter
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불균일 클러터 환경에서 다중 표적탐지 성능 향상을 위한 반복 백색화 투영 통계 기법

논문 기본 정보

Type
Academic journal
Author
Hyuck Park (성균관대학교) Jin Whan Kang (성균관대학교) Sang-Hyo Kim (성균관대학교)
Journal
The Institute of Electronics and Information Engineers The Institute of Electronics Engineers of Korea - Signal Processing Vol.49-SP No.4 KCI Accredited Journals
Published
2012.7
Pages
120 - 128 (9page)

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Iterative Pre-Whitening Projection Statistics for Improving Multi-Target Detection Performance in Non-Homogeneous Clutter
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Abstract· Keywords

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In this paper, we propose a modified iterative pre-whitening projection statistics (MIPPS) scheme for improving multi-target detection performance in non-homogeneous clutter environments. As a non-homogeneity detection (NHD) technique of space-time adaptive processing algorithm for airborne radar, the MIPPS scheme improves the average detection probability of weak target when multiple targets with different reflection signal intensities are located in close range. Numerical results show that the conventional NHD schemes suffers from the masking effect by strong targets and clutters and the proposed MIPPS scheme outperforms the conventional schemes with respect to the average detection probability of the weak target at low signal-to-clutter ratio.
#Space-time adaptive processing(STAP) #Non-homogeneity detection(NHD) #Generalized inner product(GIP) #Projection statistics(PS) #Pre-whitening PS(PPS)

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 시스템 모형
Ⅲ. 불균일 클러터 환경을 위한 NHD 기법
Ⅳ. 다중표적 탐지 성능을 위한 변형된 반복 PPS 기법
Ⅴ. 모의실험 결과
Ⅵ. 결론
참고문헌
저자소개

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UCI(KEPA) : I410-ECN-0101-2013-569-003550339