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

Santana Burintramart, Nuri Yilmazer, Tapan K. Sarkar

Research output: Chapter in Book/Entry/PoemConference contribution

8 Scopus citations


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 2007 Radar Conference
Number of pages4
StatePublished - 2007
EventIEEE 2007 Radar Conference - Waltham, MA, United States
Duration: Apr 17 2007Apr 20 2007

Publication series

NameIEEE National Radar Conference - Proceedings


OtherIEEE 2007 Radar Conference
Country/TerritoryUnited States
CityWaltham, MA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Multiple constraint space-time adaptive processing using direct data domain least squares (D3LS) approach'. Together they form a unique fingerprint.

Cite this