Multiple constraint space-time adaptive processing using direct data domain least squares (D3LS) approach

Santana Burintramart, Nuri Yilmazer, Tapan Kumar Sarkar

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

7 Scopus citations

Abstract

In this paper, a new Direct Data Domain Least Squares (D3LS) approach is developed for multiple target detection in space-time adaptive processing (STAP). The advantage of the D3LS technique is that it does not rely on any statistical information of the interference as opposed to conventional STAP algorithms. The modified version of D3LS when more than one target is in a radar scenario will be discussed This is equivalent to forming multiple beams simultaneously while suppressing all other interference at the radar receiver. Numerical simulations show that multiple beams are directed towards target directions correctly and maintain their gain constraints along those directions such that the target signal intensities or complex amplitudes can be estimated.

Original languageEnglish (US)
Title of host publicationIEEE National Radar Conference - Proceedings
Pages768-771
Number of pages4
DOIs
StatePublished - 2007
EventIEEE 2007 Radar Conference - Waltham, MA, United States
Duration: Apr 17 2007Apr 20 2007

Other

OtherIEEE 2007 Radar Conference
CountryUnited States
CityWaltham, MA
Period4/17/074/20/07

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Burintramart, S., Yilmazer, N., & Sarkar, T. K. (2007). Multiple constraint space-time adaptive processing using direct data domain least squares (D3LS) approach. In IEEE National Radar Conference - Proceedings (pp. 768-771). [4250410] https://doi.org/10.1109/RADAR.2007.374316