Robust Adaptive Processing in Littoral Regions with Environmental Uncertainty
One of the main challenges in shallow water passive sonar is the complex propagation physics for both target and interferer signatures. Matched Field Processing (MFP) addresses this challenge by incorporating a propagation model into the steering vector calculation, but it is extremely sensitive to inaccuracies in the knowledge of the under-water environment. Robust algorithms have been developed to address the losses due to environmental mismatch and to target motion. To address the losses associated with target motion, a motion compensation algorithm based on the invariance principle has been developed. A second algorithm exploits the presence of a strong source to obtain a steering vector which can then be transformed to form beams at other ranges and depths.
Zurk, Lisa; Lee, Nigel; and Tracey, Brian, "Robust Adaptive Processing in Littoral Regions with Environmental Uncertainty" (2002). Electrical and Computer Engineering Faculty Publications and Presentations. 259.