Robust Bcs-Based Direction-Of-Arrival And Bandwidth Estimation Of Unknown Signals For Cognitive Radar
2018 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING(2018)
摘要
The problem of the estimation of the directions-of-arrival (DoA) and the bandwidth (BW) of wideband signals impinging on an array of electromagnetic sensors is addressed in this work. A novel strategy based on a customized implementation of the Multi-Tasks Bayesian Compressive Sensing (MT-BCS) is proposed to increase the robustness of the joint DoA-and-BW estimation, thanks to the statistical correlation of multiple frequency data samples acquired at consecutive time instants. A preliminary numerical result is reported to show the behavior and the validity of the proposed approach in case of severe noisy condition.
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关键词
DoA estimation, bandwidth estimation, Bayesian Compressive Sensing, cognitive radar
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