DOA Estimation Based on Spatial Time-frequency Analysis

Abstract

With the rapid development of the theory and algorithms for time-frequency analysis, it has already inspired some notable investigation in the context of Direction Of Arrival (DOA) estimation. In this paper, we show how time-frequency analysis can be applied in the DOA domain and achieve a higher spatial resolution. In order to combine all the relevant STFD points, the joint diagonalization technique is proposed. At the same time, our work adopts Minimum Variance Distortionless Response processor (MVDR), rather than MUSIC, to avoid the estimation of the signal subspace and noise subspace. Numerical simulations illustrate the effectiveness of the DOA estimation algorithm based on the STFDs structure and also show that under some challenging scenarios such as low SNR, coherent arrivals and few snapshots, our proposed algorithms can distinguish closely spaced sources compared with conventional methods.