Wen-Jun Zeng

Learn More
In this paper, a new algorithm for high-resolution multiple wideband and nonstationary source localization using a sensor array is proposed. The received signals of the sensor array are first converted into the time-frequency domain via short-time Fourier transform (STFT) and we find that a set of short-time power spectrum matrices at different time(More)
A new algorithm for direction-of-arrival (DOA) estimation of non-Gaussian sources is proposed. Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the subspace-based techniques, it is not necessary to determine(More)
A family of algorithms, named &#x2113;<sub>p</sub>-MUSIC, for direction-of-arrival (DOA) estimation in impulsive noise is proposed. The &#x2113;<sub>p</sub>-MUSIC estimator adopts the &#x2113;<sub>p</sub>-norm (1 &#x2264; p 2) of the residual fitting error matrix as the objective function for subspace decomposition, rather than the Frobenius norm that is(More)
Most of the existing beamforming methods are based on the Minimum Variance (MV) criterion. The MV approach is statistically optimal only when the signal, interferences and the noise are Gaussian-distributed. However, non-Gaussian signals arise in a variety of practical applications. In this paper, Minimum Dispersion Distortionless Response (MDDR)(More)
In this paper, a robust linear programming beamformer (RLPB) is proposed for non-Gaussian signals in the presence of steering vector uncertainties. Unlike most of the existing beamforming techniques based on the minimum variance criterion, the proposed RLPB minimizes the &#x2113;<sub>&#x221E;</sub>-norm of the output to exploit the non-Gaussianity. We make(More)
A quadratically constrained minimum dispersion (QCMD) beamformer that is robust against model uncertainties is devised for non-Gaussian signals. Different from the minimum variance based beamformers, the QCMD beamformer minimizes the lp-norm (p &#x2265; 1) of the output while constraining the magnitude response of any steering vector within a spherical(More)