DocumentCode
1539221
Title
Adaptive canceler and pulse compressor interactions
Author
Gerlach, Karl
Author_Institution
US Naval Res. Lab., Washington, DC, USA
Volume
27
Issue
2
fYear
1991
fDate
3/1/1991 12:00:00 AM
Firstpage
331
Lastpage
342
Abstract
Performance results for the sidelobe level of a compressed pulse that has been preprocessed through an adaptive canceler are obtained. The adaptive canceler is implemented using the sampled matrix inversion algorithm. Because of finite sampling, the quiescent compressed pulse sidelobe levels are degraded due to the preprocessing of the main channel input data stream (the uncompressed pulse) through an adaptive canceler. It is shown that if N is the number of input canceler channels (main and auxiliaries) and K is the number of independent samples per channel, then K /N can be significantly greater than one in order to retain sidelobes that are close to the original quiescent sidelobe level (with no adaptive canceler). Also it is shown that the maximum level of degradation is independent of whether pulse compression occurs before or after the adaptive canceler if the uncompressed pulse is completely contained within the K samples that are used to calculate the canceler weights. This same analysis can be used to predict the canceler noise power level that is induced by having the desired signal present in the canceler weight calculation
Keywords
antenna phased arrays; antenna theory; interference suppression; radar theory; signal processing; adaptive canceler; antenna array; canceler noise power level; compressed pulse; degradation; finite sampling; preprocessing; pulse compressor interactions; radar; sampled matrix inversion algorithm; sidelobe level; signal processing; Clutter; Degradation; Laboratories; Matched filters; Noise cancellation; Pulse compression methods; Radar detection; Signal analysis; Tellurium; Working environment noise;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.78307
Filename
78307
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