Uncertainty Function Design for Adaptive Beamsteering Cognitive Radar

Abstract

Adaptive Beamsteering Cognitive Radar (AB-CRr) employs a real time transmit-receive system to improve the performance of radar search-and-track functions over traditional beam rasterization schemes. AB-CRr utilizes a probabilistic model of the radar channel to dynamically generate a beam-steering strategy for its environment. The channel probability model is used to form an adaptive beamsteering strategy via a user defined uncertainty function. In this paper, the formulation of uncertainty functions is introduced and their impact on beamsteering behavior and performance is investigated.