2011 Microwaves, Radar and Remote Sensing Symposium 2011
DOI: 10.1109/mrrs.2011.6053662
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Improving the performance of Root-MUSIC via pseudo-noise resampling and conventional beamformer

Abstract: A new pseudo-noise resampling technique is proposed to mitigate the effect of outliers in Root-MUSIC. After resampling of Root-MUSIC via pseudo-randomly generated noise we combine it with conventional beamformer (as a result we obtain the resampled modified root-MUSIC). Censored selection of the results of pseudo-randomly resampled modified Root-MUSIC algorithms is exploited based on an appropriate local performance test.

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Cited by 9 publications
(9 citation statements)
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References 9 publications
(25 reference statements)
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“…The performance degradation of the subspacebased methods can be explained by appearance of outliers in the parameter estimates in the practically important situations with small sample, signal-to-noise ratios and so on [1,2,[4][5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
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“…The performance degradation of the subspacebased methods can be explained by appearance of outliers in the parameter estimates in the practically important situations with small sample, signal-to-noise ratios and so on [1,2,[4][5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Performance of the parameter estimation by subspace-based methods can be improved by application of the group of the subspace-based methods with different characteristics (so called joint estimation strategy), subspace-based method with second-order and higher-order CM, resampling approaches (bootstrap, pseudo noise resampling, surrogate data technology), singular spectrum analysis (SSA) [4,[6][7][8][9][10]. The different levels of implementation of the concept of the outlier removing are known [6][7][8][9][10]. The process of elimination can be realized on the level of estimators (i.e.…”
Section: Introductionmentioning
confidence: 99%
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“…In this paper, which is based on the results of [8], a generalization of pseudo-noise approach [3] when applying it to Root-MUSIC is presented. We combine the two approaches for removing the outliers-the pseudo-noise approach and approach of [1].…”
Section: Introductionmentioning
confidence: 99%