Abstract

This paper presents the high efficiency and low complexity MUltiple Signal Classification (MUSIC) algorithms for accurate direction of arrival (DOA) estimation. In this work, we proposed modified MUSIC algorithm for high resolution DOA estimation of coherent source signals under low signal to noise ratio (SNR) scenario using less array elements and snapshots. The subspace based method requires intensive calculations especially for large arrays to compute singular vector decomposition (SVD) of sample covariance matrix (SCM). The proposed Nyström based MUSIC method computes SVD of SCM without computing SCM. This reduces the computational complexity and makes it more robust. The simulated results are compared with existing algorithms which shows that the proposed methods are computationally efficient and simple.

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