Title :
A survey on the effect of small snapshots number and SNR on the efficiency of the MUSIC algorithm
Author :
Ioannopoulos, G.A. ; Anagnostou, D.E. ; Chryssomallis, M.T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece
Abstract :
The Multiple Signal Classification (MUSIC) algorithm is applied for a number of cases, in order to associate the performance of angular resolution of a Uniform Linear Array (ULA) with small number of snapshots and Signal-to-Noise Ratio (SNR). The discovery of low limits of these parameters is essential for the practical implementation of MUSIC. The resolution dependence is presented in diagrams and the results are compared with corresponding theoretical limits.
Keywords :
array signal processing; signal classification; signal resolution; MUSIC algorithm; SNR; ULA; angular resolution performance; multiple signal classification algorithm; signal-to-noise ratio; small snapshot number; uniform linear array; Algorithm design and analysis; Arrays; Classification algorithms; Correlation; Multiple signal classification; Signal to noise ratio;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6349109
