Adaptive CFAR Performance Prediction in an Uncertain Environment.

摘要

LONG-TERM GOALS. The long-term goal of this task is to more accurately predict passive sonar detection performance when both the signal wavefront and noise field directionality are uncertain. OBJECTIVES. The objective is to bound the behavior of actual sonars by using the performance of optimal constant false alarm rate (CFAR) detection statistics, such as the adaptive matched subspace detector (AMSD), in the presence of realistic ocean environmental uncertainty and limited noise-field training data.