Joint DoA and BW Estimation of Time-Modulated Linear Array Based on MT-BCS

Le résumé fourni par la source

The problem of the estimation of the direction-of-arrival(DoA) and the bandwidth(BW) of wideband signals impinging on time-modulated linear array(TMLA) of electromagnetic sensors is addressed in this work. Starting from the voltages measured at the output of the TMLA elements at multiple time instant, in order to recover the DoAs and BW, a customized strategy using Multi-Tasks Bayesian Compressive Sensing (MT-BCS) based on Laplace prior is proposed to improve the accuracy of the joint DoA and BW estimation, thanks to the statistical correlation of multiple frequency data samples acquired at consecutive time instants. Besides, the pulse durations of linear array is obtained by artificial bee colony-differential evolution(ABC-DE). The reconstruction algorithm starts with the sparsity of the signal source, divides the space angle into I part. Because TMLA works at periodic T, the received data can be expanded by Fourier series. We take the first Q-order sidebands and L times sampling, can get received signal matrix Y. The DoAs of signal is determined by sampling at different frequencies, and the bandwidth of signal is judged according to the presence or absence of the DoA. Simulation results is reported to show the behavior and the validity of the proposed approach.

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