An efficient compressed sensing-based DOA estimation method in nested MIMO sonar
Jie Yang, Yixin Yang, Bo Lei · OCEANS 2017 - Aberdeen · 2017
The maximum number of targets that can be uniquely identified by the traditional MIMO sonar is limited by the number of virtual sensors. To alleviate this problem, we extend the idea of nested array to the case of MIMO sonar. To utilize the enhanced degrees of freedom (DOF) provided by the nested MIMO sonar, an efficient direction of arrival (DOA) estimation method is proposed based on compressed sensing (CS), in which we exploit weighted 11 minimization algorithm to achieve high resolution and suppress spurious peaks. Simulation results verify the usefulness of the proposed method under various situations.