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Entropy-based receiver for detection of random signals

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1 Author(s)
Q. Zhang ; Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada

An entropy-based statistic is derived for detecting correlated signals in additive white noise. The basic idea behind the approach is that under a constant-energy constraint, the entropy of a received process attains its maximum when the process is white and drops when it becomes correlated. When no signal is present, the test statistic is asymptotically distributed as a central chi-square, which can be used to determine the threshold for a constant false-alarm rate. Computer results are present to demonstrate the receiver performance

Published in:

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Date of Conference:

11-14 Apr 1988