DocumentCode :
2561920
Title :
Joint maximum likelihood estimation of specular paths and distributed diffuse scattering
Author :
Richter, Andreas ; Thomä, Reiner S.
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland
Volume :
1
fYear :
2005
fDate :
30 May-1 June 2005
Firstpage :
11
Abstract :
One of the main drawbacks of high-resolution channel parameter estimators proposed so far is that the underlying data model is based on the assumption that the radio channel can be modeled as a superposition of a finite number of specular-like propagation paths. Since this model does not hold in practice, the high-resolution parameter estimators produce erroneous result when they are applied to channel sounding measurements. This is due to the fact that the radio channel contains not only concentrated propagation paths, but also a large number of multipath components resulting from distributed diffuse scattering. To resolve this problem, we propose an algorithm that allows the joint estimation of the parameters of the specular paths and of the contribution of the distributed diffuse scatterer to the channel impulse response. Depending on the available measurements, the algorithm estimates the four coefficients of the polarimetric path weight matrix, the azimuth and elevation at the Tx-site, azimuth and elevation at the Rx-site, the path delay, and the Doppler-shift of the specular components. Furthermore, the estimator determines the parameters of the distribution of the dense multipath components. We outline the main steps of the algorithm and present parameter estimation results from channel sounding measurements.
Keywords :
Doppler shift; MIMO systems; channel estimation; delay estimation; electromagnetic wave scattering; matrix algebra; maximum likelihood estimation; mobile radio; multidimensional signal processing; multipath channels; transient response; Doppler-shift; MIMO systems; azimuth; channel impulse response; channel sounding measurements; distributed diffuse scattering; elevation; high-resolution channel parameter estimators; maximum likelihood estimation; mobile radio channel; multidimensional estimator; multipath components; path delay estimation; polarimetric path weight matrix; signal processing algorithms; specular paths; Acoustic scattering; Antenna measurements; Azimuth; Data models; MIMO; Maximum likelihood estimation; Multidimensional signal processing; Parameter estimation; Signal processing algorithms; Signal resolution; channel estimation; channel modeling; parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st
ISSN :
1550-2252
Print_ISBN :
0-7803-8887-9
Type :
conf
DOI :
10.1109/VETECS.2005.1543239
Filename :
1543239
Link To Document :
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