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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Applications of Bootstrap in Radar Signal Processing
verfasst von : Lei Liu, Dandan Fu, Yupu Zhu, Dan Su, Ming Diao
Erschienen in: Intelligent Computation in Big Data Era
Verlag: Springer Berlin Heidelberg
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The bootstrap technique is a powerful method for assessing the accuracy of parameters estimator, that have been widely applied on statistical and signal processing problems. A novel program based on bootstrap for DOA estimation is performed to compared with different number of snapshots in this paper. We have resampled the received signals for 200-1000 times to create new data, therefore the arrival angle is estimated by the music algorithm in the conditions of confidence interval. The demo results show that higher estimation probability and smaller mean square error can be achieved in the situation of fewer snapshots received by passive radar system than that of traditional algorithm.