Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation 2012
DOI: 10.1109/aps.2012.6349109
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A survey on the effect of small snapshots number and SNR on the efficiency of the MUSIC algorithm

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.

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Cited by 5 publications
(2 citation statements)
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“…Similarly, the estimation error of the discrete spectrum obtained from MUSIC increases significantly when the SNR decreases. Although increasing the number of snapshots can improve the processing performance of the MUSIC algorithm [31], the calculation time would also increase dramatically at the same time [32]. Compared to CS and MUSIC, more stable spectral estimation results can be provided by CPSCI, CPSII, and CCPSCI, which are based on Fourier theory.…”
Section: Analysis Of Narrowband Discrete Spectral Estimation Results mentioning
confidence: 99%
“…Similarly, the estimation error of the discrete spectrum obtained from MUSIC increases significantly when the SNR decreases. Although increasing the number of snapshots can improve the processing performance of the MUSIC algorithm [31], the calculation time would also increase dramatically at the same time [32]. Compared to CS and MUSIC, more stable spectral estimation results can be provided by CPSCI, CPSII, and CCPSCI, which are based on Fourier theory.…”
Section: Analysis Of Narrowband Discrete Spectral Estimation Results mentioning
confidence: 99%
“…We can observe that simulations fail for M = 3. This is justified from the fact that we need M = 2 D sensors in order to detect D sources ( M = 3 D/ 2 stands for improved spatial smoothing methods) [15, 16]. However, all other simulations are successful with a deviation of about 2°.…”
Section: Effect Of K On Ula Resolutionmentioning
confidence: 99%