When an Army HMMWV vehicle's engine is running and/or the vehicle is moving, the performance of its air-acoustic sensor system is severely degraded. The immediate objective is to suppress this sensor self-noise. During Phase I, a vehicle test and its analysis have clearly established the feasibility of doing this. Phase II would result in a prototype real time multi-channel noise cancellation system. Such a system would not only solve the vehicle problem in real time, but would also apply to other Army and DoD noise cancellation problems, and to significant commercial uses including medical instrumentation. The technology is based on the Principal Investigators's patented and proven SFR-SVD method for performing multi-channel noise cancellation. This method is the only known correct and efficacious way to perform this function, and was developed by the PI in connection with a Navy sonar application after his discovery of two serious flaws in the classical methods widely used for multi-channel noise cancellation. The SFR-SVD method has been applied successfully in an off-line post-processing manner to the Navy sonar array, to the Army's HMMWV vehicle, and to a fetal monitoring application. During Phase I, and HMMWV vehicle was tested and the results analyzed. Phase II would begin with an additional test to optimize sensor locations, and then develop a prototype real time system.
