Colin W. Jemmott

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Several passive sonar signal processing methods have previously been developed for determining the location of a source radiating tonal acoustic energy while moving through a shallow water environment. These localization algorithms rely on the complex interference pattern resulting from multipath acoustic propagation. By treating passive sonar localization(More)
Active sonar performance is limited by noise, reverberation or false alarm rate (FAR). High FAR is overcome through the use of signal classification, which depends on the information content of the signals. Information content and classification are addressed using a set of broadband sonar echoes. The set of broadband echoes generated by an explosive source(More)
In the ocean, passive source tracking typically utilizes acoustic energy radiated by the target. Many scenarios of interest occur on the continental shelf where the water is shallow (depth is less than 200 m). Low acoustic frequencies (<1 kHz) are more useful because they suffer less attenuation due to absorption. However, low frequency acoustic(More)
We present a passive sonar tracking algorithm that utilizes variations in the amplitude of the signal received from a source in motion. The approach is model-based in that it employs an acoustic propagation computer program, and Bayesian in that prior knowledge is used to compute a posterior probability distribution function from which the target location(More)
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