Title :
Wide band channel characterisation in coloured noise using the reversible jump MCMC
Author :
Larocque, Jean-René ; Reilly, James P.
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Abstract :
This paper presents a novel approach for characterizing wideband (CDMA) multiple dimensional channels for the wireless environment in arbitrarily coloured additive Gaussian noise. This characterization is sufficient for the specification of optimal multichannel space-time receivers. The proposed solution is defined in the Bayesian framework and uses the reversible jump Markov chain Monte Carlo (MCMC) method to obtain estimates of the number of scatterers, their directions of arrival and their times of arrival. The developed method is applied to simulated and real measured data to verify the performance of the approach
Keywords :
Bayes methods; Gaussian noise; Markov processes; Monte Carlo methods; Rayleigh channels; array signal processing; broadband networks; code division multiple access; direction-of-arrival estimation; electromagnetic wave scattering; multipath channels; multiuser channels; radio receivers; Bayesian framework; CDMA; Rayleigh fading; coloured additive Gaussian noise; directions of arrival; multipath channel; noise covariance matrix; optimal multichannel space-time receivers; propagation channel; real measured data; reversible jump MCMC; reversible jump Markov chain Monte Carlo method; scatterers; simulated data; wideband multiple dimensional channels; wireless environment; Bayesian methods; Broadband antennas; Colored noise; Covariance matrix; Delay estimation; Direction of arrival estimation; Multiaccess communication; Rayleigh scattering; Receiving antennas; Wideband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940512
