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 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)
The deconvolution of multipath underwater acoustic channel with a large time-delay spread is investigated. The channel deconvolution involves estimating the multipath time-delays and attenuation factors from a noisy received signal consisting of multiple overlapped signals. Similar to conventional deconvolution methods, the proposed method estimates channel(More)
Channels with a long but sparse impulse response arise in a variety of wireless communication applications, such as high definition television (HDTV) terrestrial transmission and underwater acoustic communications. By adopting the $\ell_1$-norm as the sparsity metric of the channel response, the channel estimation is formulated as a complex-valued convex(More)