DocumentCode :
3111733
Title :
Comparison between LS and TLS in adaptive processing for radar systems
Author :
Farina, A. ; Golino, G. ; Timmoneri, L.
Author_Institution :
Tech. Directorate, Radar & Technol., Alenia Marconi Syst., Italy
fYear :
2002
fDate :
15-17 Oct. 2002
Firstpage :
349
Lastpage :
354
Abstract :
Electromagnetic noise like interference (NLI) disturbs the proper working of radar by injecting noise from specific angular directions. Phased-array radars contrast this phenomenon via adaptive spatial filtering of the interference; this objective is reached by distorting the receiving antenna pattern by generating a null in the interference direction of arrival (IDoA). In the real world the adaptive cancellation of directional interference is limited, among other error sources, by the presence of clutter and by the amplitude and phase mismatch of receiving channels; thus adaptive signal processing strategies have to be conceived to permit the NLI cancellation in real environment. This paper compares two methods for adaptive signal processing in modem radar systems. We recall the working principles of the least squares (LS) and total least squares (TLS) algorithms. These processing methods are applied to three study cases in adaptive phased-array radar. We study the estimation of the jamming covariance matrix in presence of clutter in an adaptive phased-array. The null depth in adaptive jammer cancellation is then analyzed, and the problem of equalization of receiving channels is considered.
Keywords :
adaptive antenna arrays; adaptive signal processing; array signal processing; covariance matrices; interference suppression; jamming; least squares approximations; phased array radar; radar antennas; radar clutter; radar signal processing; adaptive cancellation; adaptive phased-array radar; adaptive signal processing; adaptive spatial filtering; clutter; directional interference; equalization; interference direction of arrival; jamming covariance matrix; least squares; noise like interference; null depth; phased-array radars; total least squares; Adaptive filters; Adaptive signal processing; Clutter; Electromagnetic interference; Filtering; Interference cancellation; Jamming; Least squares methods; Noise cancellation; Radar antennas;
fLanguage :
English
Publisher :
iet
Conference_Titel :
RADAR 2002
Conference_Location :
Edinburgh, UK
ISSN :
0537-9989
Print_ISBN :
0-85296-750-0
Type :
conf
DOI :
10.1109/RADAR.2002.1174716
Filename :
1174716
Link To Document :
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