DocumentCode :
1034703
Title :
Steady state analysis of the generalized sidelobe canceller by adaptive noise cancelling techniques
Author :
Jablon, Neil K.
Author_Institution :
Stanford University, Stanford, CA, USA
Volume :
34
Issue :
3
fYear :
1986
fDate :
3/1/1986 12:00:00 AM
Firstpage :
330
Lastpage :
337
Abstract :
Narrow-band adaptive noise cancelling techniques are used to study the generalized sidelobe canceller (GSC), a general form of linearly constrained adaptive beamforming structure. In an environment which consists of a look-direction signal, one jammer, and additive receiver noise, exact expressions are derived for the Wiener solution, the steady state output signal-to-interference-plus-noise ratio (SINR0), and performance improvement due to adaptation (PIA), defined as the ratio of SINR0after adaptation to SINR0 before adaptation. These expressions are in terms of the signal directions and power levels, an arbitrary array geometry, and a general signal blocking matrix. Next, easily evaluated scalar equations for PIA are given for two classes of constraints. The first is constant gain in the look direction, and the second is constant gain plus a main beam zero first derivative in the look direction. Under the further assumption of an equally spaced line array, even simpler equations for PIA result, and are used to show that for jammers arriving outside the heamwidth between first nulls (BWFN) region of the unadapted beampattern, the introduction of the additional main beam zero first derivative constraint leads to negligible degradation in PIA.
Keywords :
Adaptive signal processing; Antenna noise; Radar countermeasures; Signal processing antennas; Additive noise; Array signal processing; Equations; Geometry; Jamming; Narrowband; Noise cancellation; Signal to noise ratio; Steady-state; Working environment noise;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.1986.1143833
Filename :
1143833
Link To Document :
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