ABSTRACT
Sonar signal processing is a subset of signal processing related to the analysis of acoustic signals measured underwater. Applications of sonar signal processing lie in diverse fields such as oil exploration, marine mammal study and naval warfare. The fundamental objectives in sonar signal processing are the detection, classification, and localization of sounds that are heard under water. Sonar systems can be either active or passive in their use of sound (Burdic (1984), Urick (1983)). Passive sonar systems only process signals that are recorded on underwater microphones called hydrophones. A typical sonar system will use many hydrophones that are held together physically in what is called an array. An active sonar system transmits a signal using an underwater loud speaker and processes the subsequently heard reflections.
