Efficient architecture for nonhomogeneity detection in space-time adaptive processing airborne early warning radar

M. C. Wicks; W. L. Melvin; P. Chen

doi:10.1049/cp:19971682

Efficient architecture for nonhomogeneity detection in space-time adaptive processing airborne early warning radar

M. C. Wicks, W. L. Melvin, P. Chen

Research output: Contribution to journal › Conference Article › peer-review

39 Scopus citations

Abstract

The nonhomogeneous clutter effect on covariance matrix estimation and on space time adaptive processing (STAP) performance is shown through the experimental multi-channel radar data analysis under the Multi-Channel Airborne Radar Measurements (MCARM) program. The importance of sample selection on adaptive weight formulation is demonstrated by the improvement in detection performance resulting from nonhomogeneity detector (NHD) prior to STAP. Two techniques for NHD are discussed: the SMI and generalized inner product algorithms are both used to screen secondary data in the NHD stage of signal processing. The resulting data set is homogeneous, with respect to the test cell under the null hypothesis, and is used for adaptive weight measurements.

Original language	English (US)
Pages (from-to)	295-299
Number of pages	5
Journal	IEE Conference Publication
Issue number	449
DOIs	https://doi.org/10.1049/cp:19971682
State	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 Radar Edinburgh International Conference - Edinburgh, UK Duration: Oct 14 1997 → Oct 16 1997

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/cp:19971682

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title = "Efficient architecture for nonhomogeneity detection in space-time adaptive processing airborne early warning radar",

abstract = "The nonhomogeneous clutter effect on covariance matrix estimation and on space time adaptive processing (STAP) performance is shown through the experimental multi-channel radar data analysis under the Multi-Channel Airborne Radar Measurements (MCARM) program. The importance of sample selection on adaptive weight formulation is demonstrated by the improvement in detection performance resulting from nonhomogeneity detector (NHD) prior to STAP. Two techniques for NHD are discussed: the SMI and generalized inner product algorithms are both used to screen secondary data in the NHD stage of signal processing. The resulting data set is homogeneous, with respect to the test cell under the null hypothesis, and is used for adaptive weight measurements.",

author = "Wicks, {M. C.} and Melvin, {W. L.} and P. Chen",

year = "1997",

doi = "10.1049/cp:19971682",

language = "English (US)",

pages = "295--299",

journal = "IEE Conference Publication",

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publisher = "Institution of Engineering and Technology",

number = "449",

note = "Proceedings of the 1997 Radar Edinburgh International Conference ; Conference date: 14-10-1997 Through 16-10-1997",

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AU - Wicks, M. C.

AU - Melvin, W. L.

AU - Chen, P.

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N2 - The nonhomogeneous clutter effect on covariance matrix estimation and on space time adaptive processing (STAP) performance is shown through the experimental multi-channel radar data analysis under the Multi-Channel Airborne Radar Measurements (MCARM) program. The importance of sample selection on adaptive weight formulation is demonstrated by the improvement in detection performance resulting from nonhomogeneity detector (NHD) prior to STAP. Two techniques for NHD are discussed: the SMI and generalized inner product algorithms are both used to screen secondary data in the NHD stage of signal processing. The resulting data set is homogeneous, with respect to the test cell under the null hypothesis, and is used for adaptive weight measurements.

AB - The nonhomogeneous clutter effect on covariance matrix estimation and on space time adaptive processing (STAP) performance is shown through the experimental multi-channel radar data analysis under the Multi-Channel Airborne Radar Measurements (MCARM) program. The importance of sample selection on adaptive weight formulation is demonstrated by the improvement in detection performance resulting from nonhomogeneity detector (NHD) prior to STAP. Two techniques for NHD are discussed: the SMI and generalized inner product algorithms are both used to screen secondary data in the NHD stage of signal processing. The resulting data set is homogeneous, with respect to the test cell under the null hypothesis, and is used for adaptive weight measurements.

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T2 - Proceedings of the 1997 Radar Edinburgh International Conference

Y2 - 14 October 1997 through 16 October 1997

ER -

Efficient architecture for nonhomogeneity detection in space-time adaptive processing airborne early warning radar

Abstract

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