Work place: Deptt. of Electronics and Communication Engineering, National Institute of Technology, Kurukshetra,136119, Haryana, India
E-mail: OPS_nitk@yahoo.co.in
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Systems Architecture, Information Systems
Biography
O.P. Sahu is Professor in Deptt. of Electronics and Communication Engineering in National Institute of Technology, Kurukshetra, Haryana, India. His areas of specialization are Digital Signal Processing, Communication Systems. He has more than twenty five years of teaching experience at the graduate and post graduate level. Currently, he is guiding eight Ph.D. scholars.
DOI: https://doi.org/10.5815/ijitcs.2016.09.03, Pub. Date: 8 Sep. 2016
In this paper, a comparative study of Wideband MUSIC method, Joint Diagonalization Structure (JDS) method and Beam-Space Genetic Algorithm (BGA) is presented with respect to resolution probability and Root mean square error (RMSE) evaluated in both low and high Signal-to-Noise ratio (SNR) regions. The simulation results show that BGA has higher resolution probability than the JDS method and Wideband MUSIC method in low SNR region while in the high SNR region, Wideband MUSIC has higher resolution probability followed by BGA and JDS method. RMSE is smallest for BGA as compared to JDS and Wideband MUSIC in low SNR region. In the high SNR region, Wideband MUSIC has smallest RMSE followed by BGA and JDS method.
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