DocumentCode :
2365033
Title :
Phase-shifted interpolation for channel matrix inversion in MIMO-OFDM systems
Author :
Jian Zhang ; Xiaojing Huang ; Suzuki, Hajime ; Zhuo Chen
Author_Institution :
ICT Centre, CSIRO, Sydney, NSW, Australia
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
3831
Lastpage :
3835
Abstract :
Channel matrix inversion, which requires significant hardware resource and computational power, is a very challenging problem in MIMO-OFDM systems. Casting the frequency-domain channel matrix into a polynomial matrix, interpolation-based matrix inversion provides a promising solution to this problem. In this paper, by showing that the polynomial coefficients can be well approximated by a Gaussian function, we propose an efficient algorithm, which relaxes the requirement for knowing the maximum multipath delay spread and enables the use of simple low-complexity interpolators by introducing a phase shift term to the signal to be interpolated. Simulation results show that significant complexity saving can be achieved with little equalization performance degradation.
Keywords :
Gaussian processes; MIMO communication; OFDM modulation; frequency-domain analysis; interpolation; matrix inversion; multipath channels; Gaussian function; MIMO-OFDM systems; channel matrix inversion; complexity saving; computational power; frequency-domain channel matrix; hardware resource; low-complexity interpolators; maximum multipath delay spread; multiple-input multiple-output system; orthogonal frequency division multiplexing system; phase-shifted interpolation; polynomial matrix; Accuracy; Complexity theory; Discrete Fourier transforms; Frequency domain analysis; Interpolation; OFDM; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6363793
Filename :
6363793
Link To Document :
بازگشت