Robust BCS-based Direction-of-Arrival and Bandwidth Estimation of Unknown Signals for Cognitive Radar

Abstract : 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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https://hal.archives-ouvertes.fr/hal-02004270
Contributor : Andrea Massa <>
Submitted on : Friday, February 1, 2019 - 4:21:34 PM
Last modification on : Monday, February 4, 2019 - 9:17:40 AM

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  • HAL Id : hal-02004270, version 1

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Mohammad Abdul Hannan, Paolo Rocca, Andrea Massa. Robust BCS-based Direction-of-Arrival and Bandwidth Estimation of Unknown Signals for Cognitive Radar. 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, Jul 2018, Boston, United States. pp.625-626. ⟨hal-02004270⟩

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