|
|
|
| A Revised Sequential Monte Carlo Iterative Detection for MIMO System |
| Ding Rui,Gao Xi-qi,You Xiao-hu |
| National Mobile Communications Research Lab, Southeast University, Nanjing 210096, China |
|
|
|
|
Abstract An optimal iterative receiver for MIMO system need exact calculation of extrinsic information in Soft-Input-Soft-Output (SISO) detector. This optimal receiver does not fit the system with large numbers of antennas and high modulation order, because its complexity increases exponentially with modulation order and antenna number. So in this paper, the estimation of extrinsic information is proved to be equal to a choice issue of a target collection, which will be obtained by Sequential Monte Carlo (SMC) sampling. But the research also indicates that the traditional sampling method can not draw a suited target collection, so a Revised SMC (R-SMC) method is proposed to approximate a finite element discrete probability space by drawn samples. Finally, an approximate computation of extrinsic information based on R-SMC sampling is applied in this new detection algorithm. By analyses, the proposed algorithm’s complexity is linearly proportional to the number of drawn samples. And simulation results prove that the near-optimal Bit-Error-Ratio (BER) performance can be obtained by a small number of samples.
|
|
Received: 26 December 2008
|
|
|
|
Corresponding Authors:
Ding Rui
|
|
|
|
|
|
|
2010, Vol. 32 
