Abstract
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.
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Liu, L., Fu, D., Zhu, Y., Su, D., Diao, M. (2015). Applications of Bootstrap in Radar Signal Processing. In: Wang, H., et al. Intelligent Computation in Big Data Era. ICYCSEE 2015. Communications in Computer and Information Science, vol 503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46248-5_59
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DOI: https://doi.org/10.1007/978-3-662-46248-5_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-46247-8
Online ISBN: 978-3-662-46248-5
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