Abstract
An improved method for direction-of-arrival (DOA) estimation algorithm based on Multistage Wiener Filters (MSWF) in the presence of impulsive noise is proposed in this paper. There are many DOA estimation algorithms based on Multistage Wiener Filters, but all of them must satisfy the requirement of the noise is Gaussian white noise, which can not the accurately in the presence of impulsive noise. The improved method has good performance at DOA estimate when the noise is impulsive noise, and some computer simulations show it.
This Work Supported by the Chinese Nature Science Foundation under Grant (No. 61071140).
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Yao, L., Jiang, H., Gao, Y., Shi, Y. (2012). Subspace Algorithm Based on MSWF in the Presence of Impulsive Noise. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_30
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DOI: https://doi.org/10.1007/978-3-642-31919-8_30
Publisher Name: Springer, Berlin, Heidelberg
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