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Title: Performance comparison of MVDR, MUSIC, and ESPRIT algorithms in signal classification
Authors: Macario O. Corde, Elmer R. Magsino
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2020
Volume: 15
Issue: 21
Language: English
In this study, the performance of three well-known algorithms for classifying/localizing arriving signals at an array of antennas is presented. These three algorithms are (1) Minimum Variance Distortionless Response (MVDR), (2) Multiple Signal Classification (MUSIC), and (3) Estimation of Signal Parameter via Rotational Invariance (ESPRIT). Exhaustive simulations are done to evaluate and analyze these three localization algorithms where the array SNR, separation and relative power of sources, and number of samples varied to determine how each algorithm performs. Simulation results show that MVDR relies on the received signal’s relative power, while both MUSIC and ESPRIT can still detect signals that are closely spaced.
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