DocumentCode :
747665
Title :
Min-max signal design for detection subject to linear distortion
Author :
Rippin, Boaz ; Weinstein, Ehud
Author_Institution :
Fac. of Eng., Tel Aviv Univ., Israel
Volume :
41
Issue :
2
fYear :
1995
fDate :
3/1/1995 12:00:00 AM
Firstpage :
533
Lastpage :
536
Abstract :
Considers the problem of deciding between M signals that are observed through an unknown FIR system (channel). The authors suggest a generalized likelihood ratio test, and develop an upper bound on the detection performance under the worst possible channel. They then suggest a signal design strategy that is immune to the unknown channel effect in which they construct the transmitted signals using an autoregressive mechanism. The signals in this class are distinguished only by the location of their poles. The authors show that in some cases these signal designs achieve the bound
Keywords :
autoregressive processes; minimax techniques; poles and zeros; signal detection; autoregressive mechanism; channel; detection; detection performance; generalized likelihood ratio test; linear distortion; minmax signal design; pole; transmitted signals; unknown FIR system; worst possible channel; Additive noise; Artificial intelligence; Distortion; Finite impulse response filter; Impulse testing; Least squares methods; Linear regression; Matrices; Matrix decomposition; Signal design; Signal detection; Testing; Upper bound;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.370164
Filename :
370164
Link To Document :
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