Title :
Entropy-based receiver for detection of random signals
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Abstract :
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
Keywords :
entropy; random processes; signal detection; statistics; white noise; additive white noise; asymptotic distribution; central chi-square; constant false-alarm rate; constant-energy constraint; correlated signals detection; entropy-based statistic; random signals detection; receiver performance; Additive white noise; Covariance matrix; Entropy; Signal detection; Signal processing; Signal to noise ratio; Statistical analysis; Statistical distributions; Testing; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197214
