NDLI: Multiple Constraint Space-Time Adaptive Processing Using Direct Data Domain Least Squares (D3LS) Approach

Content Provider	IEEE Xplore Digital Library
Author	Burintramart, S. Yilmazer, N. Sarkar, T.K.
Copyright Year	2007
Description	Author affiliation: Syracuse Univ., Syracuse (Burintramart, S.; Yilmazer, N.; Sarkar, T.K.)
Abstract	In this paper, a new direct data domain least squares $(D^{3}LS)$ approach is developed for multiple target detection in space-time adaptive processing (STAP). The advantage of the $D^{3}LS$ technique is that it does not rely on any statistical information of the interference as opposed to conventional STAP algorithms. The modified version of $D^{3}LS$ 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.
Starting Page	768
Ending Page	771
File Size	648650
Page Count	4
File Format	PDF
ISBN	1424402832
ISSN	10975659
DOI	10.1109/RADAR.2007.374316
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares methods Radar antennas Radar detection Interference suppression Interference constraints Amplitude estimation Training data Object detection Numerical simulation Frequency estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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