Bistatic SAR ATR using PCA-based features

A. K. Mishra*, B. Mulgrew

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


Target recognition is desirable feature of any defence radar system. With the present revival of interest in bistatic and multi-static radar systems, the future radar systems are predicted to invariably have bistatic abilities. The present project aims at looking into prospects and limitations of bistatic target recognition and to develop efficient algorithm for the same. The work in this paper reports the development of a database of bistatic target signatures, and the application of principal component analysis (PCA) based classifiers on the same. Results are compared with the more basic conditional Gaussian model based Bayesian classifier.

Original languageEnglish
Title of host publicationAutomatic Target Recognition XVI
Number of pages9
ISBN (Print)081946290X, 9780819462909
Publication statusPublished - 18 May 2006
Externally publishedYes
EventAutomatic Target Recognition XVI - Kissimmee, FL, United States of America
Duration: 18 Apr 200619 Apr 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceAutomatic Target Recognition XVI
Country/TerritoryUnited States of America
CityKissimmee, FL
Period18 Apr 200619 Apr 2006


  • Bistatic airborne radar
  • PCA
  • Target recognition


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