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Directional Adaptive MUSIC-Like Algorithm Under Symmetric α-Stable Distributed Noise

By Narong Borijindargoon and Boon Ng
Progress In Electromagnetics Research Letters, Vol. 87, 29-37, 2019


An algorithm named MUSIC-like algorithm was previously proposed as an alternative method to the MUltiple SIgnal Classification (MUSIC) algorithm for direction-of-arrival (DOA) estimation. Without requiring explicit model order estimation, it was shown to have robust performance particularly in low signal-to-noise ratio (SNR) scenarios. In this letter, the working principle of a relaxation parameter β, a parameter which was introduced into the formulation of the MUSIC-like algorithm, is provided based on geometrical interpretation. To illustrate its robustness, the algorithm will be examined under symmetric α-stable distributed noise environment. An adaptive framework is then developed and proposed in this letter to further optimize the algorithm. The proposed adaptive framework is compared with the original MUSIC-like, MUSIC, FLOM-MUSIC, and SSCM-MUSIC algorithms. A notable improvement in terms of targets resolvability of the proposed method is observed under different impulse noise scenarios as well as different SNR levels.


Narong Borijindargoon and Boon Ng, "Directional Adaptive MUSIC-Like Algorithm Under Symmetric α-Stable Distributed Noise," Progress In Electromagnetics Research Letters, Vol. 87, 29-37, 2019.


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