Blind least-squares approach to STAP using MCARM data

Sheeyun Park; Tapan Kumar Sarkar

Blind least-squares approach to STAP using MCARM data

Sheeyun Park, Tapan Kumar Sarkar

Research output: Chapter in Book/Entry/Poem › Conference contribution

Abstract

Adaptive array processing algorithms have received much attention in the past three decades. Previous techniques have focused on statistical methods based on estimating covariance matrices. However, the estimates are often inaccurate or inapplicable especially in dynamic environments. A novel technique is proposed to simultaneously estimate phase and amplitude (SEPA) of narrowband signals in highly non-homogeneous environments. A geometric interpretation of SEPA as a minimum norm operator is presented and two specific norms are investigated. The algorithm is then applied to the multi-channel airborne radar measurement (MCARM) data set. Targets are clearly detected in this severely cluttered scenerio.

Original language	English (US)
Title of host publication	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Editors	M.B. Matthews
Publisher	IEEE Computer Society
Pages	1552-1556
Number of pages	5
Volume	2
State	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA Duration: Nov 1 1998 → Nov 4 1998

Other

Other	Proceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2)
City	Pacific Grove, CA, USA
Period	11/1/98 → 11/4/98

ASJC Scopus subject areas

Hardware and Architecture
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Blind least-squares approach to STAP using MCARM data",

abstract = "Adaptive array processing algorithms have received much attention in the past three decades. Previous techniques have focused on statistical methods based on estimating covariance matrices. However, the estimates are often inaccurate or inapplicable especially in dynamic environments. A novel technique is proposed to simultaneously estimate phase and amplitude (SEPA) of narrowband signals in highly non-homogeneous environments. A geometric interpretation of SEPA as a minimum norm operator is presented and two specific norms are investigated. The algorithm is then applied to the multi-channel airborne radar measurement (MCARM) data set. Targets are clearly detected in this severely cluttered scenerio.",

author = "Sheeyun Park and Sarkar, {Tapan Kumar}",

year = "1998",

language = "English (US)",

volume = "2",

pages = "1552--1556",

editor = "M.B. Matthews",

booktitle = "Conference Record of the Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

address = "United States",

note = "Proceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) ; Conference date: 01-11-1998 Through 04-11-1998",

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T1 - Blind least-squares approach to STAP using MCARM data

AU - Park, Sheeyun

AU - Sarkar, Tapan Kumar

PY - 1998

Y1 - 1998

N2 - Adaptive array processing algorithms have received much attention in the past three decades. Previous techniques have focused on statistical methods based on estimating covariance matrices. However, the estimates are often inaccurate or inapplicable especially in dynamic environments. A novel technique is proposed to simultaneously estimate phase and amplitude (SEPA) of narrowband signals in highly non-homogeneous environments. A geometric interpretation of SEPA as a minimum norm operator is presented and two specific norms are investigated. The algorithm is then applied to the multi-channel airborne radar measurement (MCARM) data set. Targets are clearly detected in this severely cluttered scenerio.

AB - Adaptive array processing algorithms have received much attention in the past three decades. Previous techniques have focused on statistical methods based on estimating covariance matrices. However, the estimates are often inaccurate or inapplicable especially in dynamic environments. A novel technique is proposed to simultaneously estimate phase and amplitude (SEPA) of narrowband signals in highly non-homogeneous environments. A geometric interpretation of SEPA as a minimum norm operator is presented and two specific norms are investigated. The algorithm is then applied to the multi-channel airborne radar measurement (MCARM) data set. Targets are clearly detected in this severely cluttered scenerio.

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M3 - Conference contribution

AN - SCOPUS:0032269799

VL - 2

SP - 1552

EP - 1556

BT - Conference Record of the Asilomar Conference on Signals, Systems and Computers

A2 - Matthews, M.B.

PB - IEEE Computer Society

T2 - Proceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2)

Y2 - 1 November 1998 through 4 November 1998

ER -

Blind least-squares approach to STAP using MCARM data

Abstract

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ASJC Scopus subject areas

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