Title :
Blind symbol detection for multiple-input multiple-output systems via particle filtering
Author :
Deng, Ke ; Yin, Qinye ; Meng, Yinkuo
Author_Institution :
Dept. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
Abstract :
A novel blind symbol detection algorithm is proposed for time-selective fading multiple-input-multiple-output (MIMO) systems, whose every channel is described as a second-order autoregressive (AR) model. This algorithm employs the particle filter as the demodulator stage in turbo receivers because the particle filter has the natural characteristics of soft-input soft-output. Moreover, the particle filter has the advantage of parallel computation. Computer simulation results demonstrate the performance of the proposed algorithm.
Keywords :
MIMO systems; Monte Carlo methods; channel coding; demodulation; fading channels; iterative decoding; regression analysis; signal detection; time-varying channels; MAP channel decoding; MIMO system; VBLAST coded MIMO systems; blind symbol detection algorithm; channel decoder; iterative decoding; low density parity check code; parallel computation; particle filter demodulator; recursive system convolution code; second-order autoregressive channel model; sequential Monte Carlo; soft-input soft-output demodulator; time-selective fading systems; turbo receivers; Computer simulation; Concurrent computing; Demodulation; Detection algorithms; Fading; Filtering; MIMO; Particle filters; Receiving antennas; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415891