Platform Noise Reduction

The Army wishes to mount acoustic sensors on operational vehicles and use them to detect and localize other operational vehicles in the vicinity. The effectiveness of such a system can be limited by the noise created by the platform on which the sensorsare mounted. DSR proposes a system that combines noise cancellation techniques with adaptive beamforming techniques in order to simultaneously reject own-platform noise while still detecting and localizing far-field target signatures. Our proposed solutionprovides innovative approaches to address processing issues such as stability, convergence time, training needs and decoupling of the algorithms that have to process both near-field and far-field returns. DSR's effort will result in definition of MOE's,specification of processing algorithms, characterization of near-field and far-field acoustic returns, system performance estimates, identification of system issues and plans for development of a prototype for future field testing.Completion of this effort(Phase I and Phase II) will lead directly to an acoustic sensor and processing system design ready for integration in support of Army battlefield operations. Capability could also be applied to Navy ASW programs and commercial robotic applications where inboth cases own-platform noise must be rejected in order to acoustically detect targets.