Spatially coded signal model for active arrays

I. Bekkerman, J. Tabrikian

Research output: Contribution to journalConference articlepeer-review

51 Scopus citations


This paper addresses the problem of target detection and localization by radar or active sonar systems. A novel configuration in which the transmitted signals are spatially coded, is proposed. The main advantages of this new configuration are: avoid beam-shape loss, larger virtual array aperture and therefore narrower beams, increase the angular resolution, and ability to detect and localize greater number of targets. This configuration enables array processing in the transmit mode in addition to the receive mode. The generalized likelihood ratio test (GLRT) and the maximum-likelihood (ML) estimator are derived for target detection and localization according to the new model configuration. The performance of the array processing algorithms for this problem is studied theoretically and via simulations.

Original languageEnglish
Pages (from-to)II209-II212
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
StatePublished - 7 Oct 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: 17 May 200421 May 2004

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Spatially coded signal model for active arrays'. Together they form a unique fingerprint.

Cite this