DocumentCode :
2551286
Title :
AR-model of faded MIMO set-up optimized for ITU channels
Author :
Baruah, Murchana ; Misra, Aradhana ; Sarma, Kandarpa Kumar
Author_Institution :
Dept. of Electron. & Commun. Eng., Gauhati Univ., Guwahati, India
fYear :
2015
fDate :
19-20 Feb. 2015
Firstpage :
242
Lastpage :
247
Abstract :
Autoregressive (AR) model based approximation for highly faded frequency selective time varying multi input multi output (MIMO) channels synthesized as per ITU specifications is investigated and reported in this paper. A semiblind approach is adopted for determining the channel state information (CSI) aided by training sequences and steepest gradient descent based on least mean square (LMS) adaptation. The AR model approximated for a given case is used to predict CSI of subsequent states. AR model order is derived for optimum performance of the system and a tradeoff is obtained between computational complexity and spectral efficiency of the system. Computational complexity for different cases of the channel is also discussed. Finally, signal to noise ratio (SNR) vs. bit error rate (BER) curve for different channel conditions for optimized AR model order is shown and certain conclusions drawn.
Keywords :
MIMO communication; autoregressive processes; channel estimation; fading channels; gradient methods; least mean squares methods; time-varying channels; ITU channel; autoregressive model based approximation; channel state information; computational complexity; faded MIMO channels; frequency selective channels; highly faded channels; least mean square method; multiple-input multiple-output channels; semiblind method; spectral efficiency; steepest gradient descent method; time varying channels; training sequence; Channel estimation; Fading; Least squares approximations; MIMO; Mathematical model; Training; Transmitting antennas; AR Model; MIMO; equalizer; fading channel; space time coding (STC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-5990-7
Type :
conf
DOI :
10.1109/SPIN.2015.7095294
Filename :
7095294
Link To Document :
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