Title :
Nonlinear sonar signal processing
Author :
Quazi, Azizul H.
Author_Institution :
Naval Undersea Warfare Center Div., New London, CT, USA
Abstract :
The basic quantities of information theory are entropy and mutual information. We utilize these quantities to analyze sonar signals leading to detection and localization of underwater sources. The entropy of a process having a finite number of sample points is a maximum when the received process consists of noise alone and decreases when a correlated signal is present. The mutual information is a measure of the amount of information that one random variable contains about another random variable. We present the results of analyses of active and passive sonar signals based on nonlinear techniques of entropy and mutual information, and compare them with results by traditional techniques
Keywords :
entropy; signal detection; signal sampling; sonar signal processing; underwater sound; white noise; active sonar signals; correlated signal; entropy; information content; information theory; mutual information; nonlinear sonar signal processing; nonlinear techniques; passive sonar signals; random variable; random white noise; received process; sample points; sonar signal analysis; underwater source detection; underwater source localization; Entropy; Information theory; Mutual information; Random variables; Signal analysis; Signal detection; Signal processing; Sonar detection; Sonar measurements; Underwater tracking;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567130
