Efficient tapering methods for STAP

S. Unnikrishna Pillai, Joseph R. Guerci, S. Radhakrishnan Pillai

Research output: Contribution to conferencePaperpeer-review

Abstract

The sample support problem in space-time adaptive processing (STAP) arises from the requirement to adapt to a changing interference environment where the available wide-sense-stationary sample support is severely limited for direct implementation of adaptive algorithms. In this paper we outline several approaches to address the sample support problem by utilizing efficient covariance matrix tapering (CMT) methods to retain the a-priori known structure of the covariance matrix. By combining efficient tapering approaches along with terrain knowledge based STAP and other pre-processing schemes such as subarray - subpulse, relaxed projection method, it is possible to reduce the data samples required in non-stationary environment and consequently achieve superior target detection. In addition, the application of Khatri-Rao product to the data domain implementation of CMT is also introduced thus expanding the class of robust algorithms for real-time STAP implementation.

Original languageEnglish (US)
Pages408-413
Number of pages6
StatePublished - 2004
EventProceedings of the IEEE Radar Conference - Philadelphia, PA, United States
Duration: Apr 26 2004Apr 29 2004

Other

OtherProceedings of the IEEE Radar Conference
CountryUnited States
CityPhiladelphia, PA
Period4/26/044/29/04

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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