DocumentCode
1846444
Title
Modulation of signals in rapidly-updated adaptive filters: theory, mitigation, and applications
Author
Rabideau, Daniel J.
Author_Institution
Lincoln Lab., MIT, Lexington, MA, USA
Volume
2
fYear
1997
fDate
2-5 Nov. 1997
Firstpage
1665
Abstract
This paper addresses the technique of rapidly updating the weights of an adaptive filter to cancel nonstationary interference. This method is used, for example, in radar systems that receive coherent multipath interference, known as "hot clutter" or "terrain scattered jamming". We develop a framework for understanding how this rapid weight updating (inadvertently) modulates signals. Two principal types of modulation are studied: random modulations induced by finite-length training sets and non-random modulations induced by the coherence of the interference. Our framework is then used to assess the impact of these modulations on the overall performance of various well-known jammer multipath mitigation algorithms. Several techniques for controlling this modulation are proposed.
Keywords
adaptive filters; adaptive signal processing; filtering theory; interference suppression; jamming; modulation; multipath channels; radar clutter; radar signal processing; random processes; airborne radar; coherent multipath interference; filter weights updating; finite-length training sets; hot clutter; jammer multipath mitigation algorithms; nonrandom modulation; nonstationary interference cancellation; performance; radar systems; random modulation; rapidly-updated adaptive filters; signal modulation; terrain scattered jamming; Adaptive filters; Interference; Jamming; Radar applications; Radar clutter; Radar scattering; Sensor arrays; Signal processing; Signal processing algorithms; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-8316-3
Type
conf
DOI
10.1109/ACSSC.1997.679185
Filename
679185
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