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PIER PIER B PIER C PIER M PIER Letters
2009-02-11
Robust Adaptive Beamforming Based on Particle Filter with Noise Unknown
By
Yu Li,

    Dr. Yu Li

    Department of Communication and Electronic Engineering

    East China University of Science and Technology

    China

    Homepage

Yujie Gu,

    Dr. Yujie Gu

    School of Engineering

    Bar-Ilan University

    Israel

    Homepage

Zhi-Guo Shi,

    Professor Zhi-Guo Shi

    Department of Information and Electronic Engineering

    Zhejiang University

    China

    Homepage

Kang Chen

    Dr. Kang Chen

    Department of Information and Electronic Engineering

    Zhejiang University

    China

    Homepage

Progress In Electromagnetics Research, Vol. 90, 151-169, 2009
doi:10.2528/PIER09010302
Abstract
Adaptive beamforming, which uses a weight vector to maximize the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty in the parameters, such as direction of arrival (DOA), steering vector and covariance matrix. Robust beamforming attempts to mitigate this sensitivity and diagonal loading in sample covariance matrix can improve the robustness. In this paper, beamformer based on particle filter (PF) is proposed to improve the robustness by optimizing the diagonal loading factor in sample covariance matrix. In the proposed approach, the level of diagonal loading is regarded as a group of particles and optimized using PF. In order to compute the post probability of particles beyond the knowledge of noise, a simplified cost function is derived first. Then, a statistical approach is developed to decide the level of diagonal loading. Finally, simulations with several frequently encountered types of estimation error are conducted. Results show better performance of the proposed beamformer as compared with other typical beamformers using diagonal loading. In particular, the prominent advantage of the proposed approach is that it can perform well even noise and error in the steering vector are unknown.
Citation
Yu Li, Yujie Gu, Zhi-Guo Shi, and Kang Chen, "Robust Adaptive Beamforming Based on Particle Filter with Noise Unknown," Progress In Electromagnetics Research, Vol. 90, 151-169, 2009.
doi:10.2528/PIER09010302
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