A Direct Wideband Direction of Arrival Estimation under Compressive Sensing

Compressive Sensing (CS) theory witnesses great breakthrough in signal acquisition and processing. In this paper we focus on the application of direction of arrival (DoA) and proposed a compressive sensing based direct DoA estimation framework (CS-DDoA) for wireless sensor array network. Unlike the former signal reconstruction-processing scheme, CS-DDoA utilize the spatial and spectral sparsity of target, then reformulates them into a global problems. It eliminates the error propagation between this two independent procedure and provides a enhanced DoA performance. Under this framework, array data transmission volume can be greatly reduce without distinct performance decline, which has great potential for wireless sensor array network with limited resources. At last theoretical analysis and prototype system are provided to validate this framework.