Processing Techniques for Dynamic Sources

This research is directed toward the Navy's current ASW problem, detecting quiet diesel-electric and air independent propulsion (AIP) submarines in littoral regions where today's systems are ineffective due to interference from many loud moving surfaceships. New algorithms will be developed that are effective for this nonstationary problem, rejecting multiple loud moving interferers while simultaneously improving signal matching for a quiet moving target. In addition, we will develop absolute boundson the performance that can be achieved by any algorithm. The approach involves analysis and simulation of structured scenarios of increasing complexity to isolate specific effects and provide insight and understanding. This work builds on ORINCON'sextensive experience with adaptive beamforming and leading role in recent efforts that address the nonstationary problem. It takes advantage of an existing simulation capability to permit rapid progress with limited resources. Algorithms developed inPhase I will be demonstrated on sea test data recording using a real-time implementation in Phase II. A subsequent transition to the Navy via the Advanced Process Build (APB) program is planned. The new algorithms will also be applicable to nonstationaryproblems in radar and wireless communication. This research will provide new adaptive algorithms that are effective in nonstationary environments. Simulation scenarios will be developed along with performance bounds that can be used as benchmarks forother algorithms. Results will be applicable to nonstationary problems in bistatic radar and wireless communications, as well as for passive sonar.