Research Article
Chaotic Sea Clutter Modeling Based on Gray Wolf Algorithm
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@INPROCEEDINGS{10.1007/978-3-030-93398-2_42, author={Jurong Hu and Bao Zeng and Xujie Li}, title={Chaotic Sea Clutter Modeling Based on Gray Wolf Algorithm}, proceedings={Wireless and Satellite Systems. 12th EAI International Conference, WiSATS 2021, Virtual Event, China, July 31 -- August 2, 2021, Proceedings}, proceedings_a={WISATS}, year={2022}, month={1}, keywords={Chaos Sea clutter Phase space reconstruction Grey Wolf algorithm RBF neural network}, doi={10.1007/978-3-030-93398-2_42} }- Jurong Hu
Bao Zeng
Xujie Li
Year: 2022
Chaotic Sea Clutter Modeling Based on Gray Wolf Algorithm
WISATS
Springer
DOI: 10.1007/978-3-030-93398-2_42
Abstract
This paper mainly verifies the chaotic characteristics of sea clutter and studies the prediction of chaotic sea clutter. The chaotic phase space was reconstructed by calculating the delay time and embedding dimension pairs. This paper provide a sea clutter prediction method based on the Grey Wolf Optimizer (GWO). The iterative results of the Grey Wolf algorithm were used as the weights of the RBF neural network. The simulation shows the predicted value of GWO-RBF network is close to the real value, and the prediction error is small, so as to verify the effectiveness of GWO-RBF network for chaotic sea clutter prediction.
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