Performance analysis of data sample reduction techniques for STAP

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To detect and identify targets in changing interference environment that includes clutter and jammers, Space Time Adaptive Processing (STAP) algorithms can be utilized. Often in nonstationary clutter, the available stationary sample support data is severely limited to be useful for direct implementation of the sample space-time covariance matrix inversion approach for optimal detection. In this paper we outline and compare two new approaches to address the sample support problem: (i) Generalized forward-backward sub-aperture-subspace smoothing techniques to reduce the number of data samples in estimating the sample covariance matrices (ii) Projection methods using alternating projections or relaxed projection operators onto desired convex sets to retain the a-priori known structure of the covariance matrix. Performance comparisons are presented to show that by utilizing these approaches with eigen based techniques, it is possible to reduce significantly the data samples required in non-stationary environment and consequently achieve superior target detection.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Phased Array Systems and Technology 2003, Array 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages565-570
Number of pages6
Volume2003-January
ISBN (Print)078037827X
DOIs
StatePublished - 2003
Event6th IEEE Phased Array Systems and Technology Symposium, Array 2003 - Boston, United States
Duration: Oct 14 2003Oct 17 2003

Other

Other6th IEEE Phased Array Systems and Technology Symposium, Array 2003
CountryUnited States
CityBoston
Period10/14/0310/17/03

Fingerprint

Space time adaptive processing
Covariance matrix
Target tracking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Pillai, U., Guerci, J. R., & Pillai, S. R. (2003). Performance analysis of data sample reduction techniques for STAP. In IEEE International Symposium on Phased Array Systems and Technology 2003, Array 2003 (Vol. 2003-January, pp. 565-570). [1257043] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PAST.2003.1257043

Performance analysis of data sample reduction techniques for STAP. / Pillai, Unnikrishna; Guerci, Joseph R.; Pillai, S. Radhakrishnan.

IEEE International Symposium on Phased Array Systems and Technology 2003, Array 2003. Vol. 2003-January Institute of Electrical and Electronics Engineers Inc., 2003. p. 565-570 1257043.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pillai, U, Guerci, JR & Pillai, SR 2003, Performance analysis of data sample reduction techniques for STAP. in IEEE International Symposium on Phased Array Systems and Technology 2003, Array 2003. vol. 2003-January, 1257043, Institute of Electrical and Electronics Engineers Inc., pp. 565-570, 6th IEEE Phased Array Systems and Technology Symposium, Array 2003, Boston, United States, 10/14/03. https://doi.org/10.1109/PAST.2003.1257043
Pillai U, Guerci JR, Pillai SR. Performance analysis of data sample reduction techniques for STAP. In IEEE International Symposium on Phased Array Systems and Technology 2003, Array 2003. Vol. 2003-January. Institute of Electrical and Electronics Engineers Inc. 2003. p. 565-570. 1257043 https://doi.org/10.1109/PAST.2003.1257043
Pillai, Unnikrishna ; Guerci, Joseph R. ; Pillai, S. Radhakrishnan. / Performance analysis of data sample reduction techniques for STAP. IEEE International Symposium on Phased Array Systems and Technology 2003, Array 2003. Vol. 2003-January Institute of Electrical and Electronics Engineers Inc., 2003. pp. 565-570
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