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Robust adaptive beamforming algorithms with fully automatic diagonal level computation are desired but scarce in the literature. We note that the an imaginary-valued diagonal loading level well approximates but differs from its real-valued counterpart in terms of output signal-to-interference-plus-noise ratio (SINR), and an estimate of the optimal diagonal loading level can be found by the highest...
This paper proposes an extension of the NOncircularity Rate Maximization (NORM) beamformer that takes into account noncircular interferences. The main idea of the new approach is to utilize the spatial diversity and noncircularity dissimilarity between the desired signal and interferences plus noise simultaneously. For this purpose, the weight vector is designed by maximizing the non-circularity rate...
Adaptive beamforming using a crossed-dipole array is addressed in the hypercomplex framework. A new variant of Capon beamformer, called Quaternion-Capon (Q-Capon) beamformer, is herein proposed to fulfill the linearly constrained minimization operation in the quaternion domain. Simulation results show that the Q-Capon beamformer has a better convergence performance than the standard "long-vector"...
A novel tensor-based beamforming algorithm via multi-translation-invariant vector-sensor array is proposed. Largely different from the traditional ones, the spatial filtering is carried out on both macroscopic scale (between subarrays) and microscopic scale (between sensors of each subarray) in the new algorithm, in order to obtain the beamformer output. With different weight vectors being used in...
Using an acoustic vector sensor array, adaptive beamforming is addressed based on hypercomplex algebra. To utilize the minimum-variance distortionless response beamforming in the biquaternion domain, a variant of Capon beamformer named Biquaternion Capon (BQ-Capon) is proposed. Simulations show that the BQ-Capon beamformer outperforms the conventional long vector Capon beamformer with the convergence...
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