Robust Widely linear complex-valued combined step-size algorithm for beamforming

In non-circular signals, the drawback of the fixed step-size of the widely linear complex-valued least mean square (WL-CNLMS) algorithm results in the algorithm being suboptimal. To address this problem, we introduce a combined step-size (CSS) strategy in the WL-CNLMS algorithm to improve the conver...

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Bibliographic Details
Published inInternational Symposium on Wireless Communication Systems pp. 1 - 6
Main Authors Luo, Lin, Guo, Peng, Yu, Yi, He, Hongsen, de Lamare, Rodrigo
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.07.2024
Subjects
Array signal processing
Beamforming
Combined step-size
Convergence
Noise
Non-Gaussian impulsive noise
Robustness
Simulation
Widely linear
Wireless communication
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ISSN2154-0225
DOI10.1109/ISWCS61526.2024.10639153

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Summary:In non-circular signals, the drawback of the fixed step-size of the widely linear complex-valued least mean square (WL-CNLMS) algorithm results in the algorithm being suboptimal. To address this problem, we introduce a combined step-size (CSS) strategy in the WL-CNLMS algorithm to improve the convergence performance. Also, to overcome the negative effects of non-Gaussian impulsive noise, we use a modified Huber (MH) function to improve the robustness of the algorithm. Finally, we propose a robust combined step-size WL-CNLMS algorithm and apply it to beamforming. Simulation results show that the proposed algorithm not only enhances the convergence performance of the adaptive beamformer but also greatly improves its robustness.
ISSN:2154-0225
DOI:10.1109/ISWCS61526.2024.10639153