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Widely linear UKF constant modulus algorithm for blind adaptive beamforming

Huaming Qian1, Ke Liu1,2,  Long Li3, Linchen Qian4, and Junda Ma1   

  1. 1. College of Automation, Harbin Engineering University, Harbin 150001, China;
    2. Advanced Signal Processing Lab, College of Engineering, Temple University, Philadelphia, PA 19122, USA;
    3. Information Communication Branch, State Grid Heilongjiang Electric Power Company Limited, Harbin 150090, China;
    4. School of Computing, Beihang University, Beijing 100191, China
  • Online:2017-06-20 Published:2010-01-03


Based on a uniform linear array, a new widely linear unscented Kalman filter-based constant modulus algorithm (WLUKF-CMA) for blind adaptive beamforming is proposed. The new algorithm is designed according to the constant modulus criterion and takes full advantage of the noncircular property of the signal of interest (SOI), significantly increasing the output signal-tointerference-plus-noise ratio (SINR), enhancing the convergence speed and decreasing the steady-state misadjustment. Since it requires no known training data, the proposed algorithm saves a large amount of the available spectrum. Theoretical analysis and simulation results are presented to demonstrate its superiority over the conventional linear least mean square-based CMA (LLMS-CMA), the conventional linear recursive least square-based CMA (L-RLS-CMA), WL-LMS-CMA, WL-RLS-CMA and L-UKFCMA.