Title :
Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions
Author_Institution :
Lab. de Modelisation et Surete des Systemes, Univ. de Technologie de Troyes, France
fDate :
9/1/2002 12:00:00 AM
Abstract :
During the last decade, a comprehensive theory for optimum time-frequency (TF)-based detection has been developed. This was originally proposed in the continuous-time continuous-frequency case. This paper deals with detectors operating on discrete-time discrete-frequency Wigner distributions (WDs). The purpose is to discuss some existing definitions of this distribution within the context of TF-based detection and selecting those that do not affect the performance of the decision device with which they are associated. This question is of interest since there exist several approaches for discretizing the WD, sometimes resulting in a loss of fundamental properties. First, the discrete-time discrete-frequency formulations of optimum detection are investigated. Next, the problem of the design of TF-based detectors from training data, keeping in mind severe effects of the curse of dimensionality, is considered.
Keywords :
Wigner distribution; optimisation; signal detection; signal representation; time-frequency analysis; TF-based detection; blind TF-based detectors; continuous-time continuous-frequency detector; discrete-time discrete-frequency Wigner distributions; optimum detection; signal representation; time-frequency-based detection; training data; Detectors; Fault detection; Fourier transforms; Frequency domain analysis; Gaussian noise; Radar detection; Signal analysis; Signal processing; Spectral analysis; Training data;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.801927