Quantitative Assessment of the Efficiency of Adaptive Spatial Processing Algorithms in Detecting and Tracking the Low-Noise Underwater Vehicles in Various Shipping Conditions
摘要
The article describes the methodology and presents the results of a model quantitative assessment of the efficiency of solving the problem of detecting and tracking a low-noise underwater object using three algorithms for spatial signal processing at the output of a multielement array—the nonadaptive Bartlett algorithm, the Capon algorithm, and the Capon algorithm, combined with a projection procedure for limiting the signal power of strong local sources.