%A Shixin WANG, Yuan ZHAO, Ibrahim LAILA, Ying XIONG, Jun WANG, Bin TANG %T Joint 2D DOA and Doppler frequency estimation for L-shaped array using compressive sensing %0 Journal Article %D 2020 %J Journal of Systems Engineering and Electronics %R 10.21629/JSEE.2020.01.04 %P 28-36 %V 31 %N 1 %U {https://www.jseepub.com/CN/abstract/article_7367.shtml} %8 2020-02-20 %X

A joint two-dimensional (2D) direction-of-arrival (DOA) and radial Doppler frequency estimation method for the L-shaped array is proposed in this paper based on the compressive sensing (CS) framework. Revised from the conventional CS-based methods where the joint spatial-temporal parameters are characterized in one large scale matrix, three smaller scale matrices with independent azimuth, elevation and Doppler frequency are introduced adopting a separable observation model. Afterwards, the estimation is achieved by $L_{1}$-norm minimization and the Bayesian CS algorithm. In addition, under the L-shaped array topology, the azimuth and elevation are separated yet coupled to the same radial Doppler frequency. Hence, the pair matching problem is solved with the aid of the radial Doppler frequency. Finally, numerical simulations corroborate the feasibility and validity of the proposed algorithm.