Title :
Time delay estimation using higher-order statistics: a set of new results
Author :
Wu, Yong ; Leyman, A. Rahim
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
The problem of time delay estimation of Gaussian and non-Gaussian signals is considered. Different kinds of corrupting noises are studied and three new methods are proposed which are based on higher-order statistics of the received signals. Computer simulations show that the new methods outperform the generalized cross-section and bispectrum-based methods
Keywords :
Gaussian noise; array signal processing; delays; estimation theory; higher order statistics; Gaussian signals; corrupting noise; higher-order statistics; nonGaussian signals; received signals; time delay estimation; Additive noise; Biosensors; Delay effects; Delay estimation; Gaussian noise; Geophysics computing; Higher order statistics; Random processes; Signal processing; Signal to noise ratio;
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
DOI :
10.1109/ICICS.1997.652220
