Blind least-squares approach to STAP using MCARM data

Sheeyun Park, Tapan Kumar Sarkar

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

1 Scopus citations

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 languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
PublisherIEEE Computer Society
Pages1552-1556
Number of pages5
Volume2
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 1 1998Nov 4 1998

Other

OtherProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2)
CityPacific Grove, CA, USA
Period11/1/9811/4/98

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Blind least-squares approach to STAP using MCARM data'. Together they form a unique fingerprint.

Cite this