Andrew T. Pyzdek

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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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