Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Analysis of polynomial FM signals corrupted by heavy-tailed noise
Signal Processing
Morphological image processing for FM source detection and localization
Signal Processing
Maximum-likelihood array processing in non-Gaussian noise with Gaussian mixtures
IEEE Transactions on Signal Processing
Robust L-estimation based forms of signal transforms and time-frequency representations
IEEE Transactions on Signal Processing
Subspace analysis of spatial time-frequency distribution matrices
IEEE Transactions on Signal Processing
Spatial averaging of time-frequency distributions for signalrecovery in uniform linear arrays
IEEE Transactions on Signal Processing
Subspace-based direction-of-arrival estimation using nonparametricstatistics
IEEE Transactions on Signal Processing
Parameter Estimation for Locally Linear FM Signals Using a Time-Frequency Hough Transform
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
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We consider the problem of estimating spatial time-frequency distribution (STFD) matrices in the presence of impulsive noise. STFD matrices are widely used in sensor array processing for direction-of-arrival estimation and blind source separation of non-stationary sources. Conventional methods fail when the noise is non-Gaussian or impulsive. We propose robust techniques for STFD estimation which are based on pre-processing, robust position based estimation and robust covariance based estimation. The proposed methods are compared in terms of direction-of-arrival estimation performance.