A Comparison of Three Swarm-Based Optimization Algorithms in Wind Turbine Radar Clutter Micro-Motion Parameters Estimation

Author:

Zhang Congsheng1,Zhang Heng1,Zhang Kun1,Yu Juan1,Zhang Xinxun1,Duan Min1

Affiliation:

1. Early Warning Academy, China

Publisher

ACM

Reference18 articles.

1. Wind farm clutter suppression for air surveillance radar based on a combined method of clutter map and K-SVD algorithm;He W.-K.;IET Radar Sonar Nav,2019

2. Wind turbine impact on operational weather radar I/Q data: characterisation and filtering

3. Experimental analysis of multistatic multiband radar signatures of wind turbines. IET Radar;Fioranelli F.;Sonar Nav,2016

4. Hu , X. , Tan , X. , Qu , Z. and Xu , Q . 2019. Wind turbine clutter micro-motion feature extraction Method . In Proceedings of the 2nd International Conference on Information Communication and Signal Processing. IEEE , Weihai, China , 165 - 169 . https://doi.org/10.1109/ICICSP48821. 2019 .8958604 10.1109/ICICSP48821.2019.8958604 Hu, X., Tan, X., Qu, Z. and Xu, Q. 2019. Wind turbine clutter micro-motion feature extraction Method. In Proceedings of the 2nd International Conference on Information Communication and Signal Processing. IEEE, Weihai, China, 165-169. https://doi.org/10.1109/ICICSP48821.2019.8958604

5. Micro-motion parameters estimation in non-Gaussian noise via mutual correntropy

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