Radar array application of least squares with multiple constraints

Richard Schneible, Tapan Kumar Sarkar

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

Abstract

A multiple constrain approach has been developed that can address the radar adaptive nulling process. This nulling approach allows look-direction constraints to be established over a finite beamwidth while maintaining the ability to adaptively null jammers in the sidelobe region. Although the mainbeam gain can be degraded if the signal amplitude is too large, this does not appear to be a serious limitation for practical radar processing cases. This approach can also be implemented using the Conjugate Gradient method and thus can take advantage of its improvement in rate of convergence.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Phased Array Systems and Technology
Editors Anon
PublisherIEEE Computer Society
Pages208-210
Number of pages3
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 IEEE International Symposium on Phased Array Systems and Technology - Boston, MA, USA
Duration: Oct 15 1996Oct 18 1996

Other

OtherProceedings of the 1996 IEEE International Symposium on Phased Array Systems and Technology
CityBoston, MA, USA
Period10/15/9610/18/96

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Radar array application of least squares with multiple constraints'. Together they form a unique fingerprint.

  • Cite this

    Schneible, R., & Sarkar, T. K. (1996). Radar array application of least squares with multiple constraints. In Anon (Ed.), IEEE International Symposium on Phased Array Systems and Technology (pp. 208-210). IEEE Computer Society.