THE ELEVENTH IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (IEEE SAM2020)

113 / 2019-12-14 12:18:00

An Improved DOA Estimation Method Based on Sparse Arrays for a Mixture of Circular and Non-Circular Signals

Improved MUSIC; Sparse arrays; Noncircular signals; Extended covariance matrix

IEEE SAM 2020: Special Sessions > Aperture Extension and Synthetic Techniques for High-Resolution Detection and Estimation

Sparse arrays have attracted a lot of interests recently for their capability of providing more degrees of freedom than traditional uniform linear arrays. For a mixture of circular and noncircular signals, most of the existing direction of arrival (DOA) estimation methods are based on various uniform arrays. Recently, a new class of DOA estimation algorithms was proposed using sparse arrays for a mixture of circular and noncircular signals. To further improve its performance, in this work, an improved MUSIC (I-MUSIC) algorithm is presented. The I-MUSIC algorithm can resolve the same number of mixed signals, and as demonstrated by simulation results, a better performance is achieved than the earlier proposed class of algorithms.