Abstract
We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symbols under doubly-selective channels. We perform an exact evaluation of the optimal importance distribution, at a reduced computational cost when compared to other optimal solutions proposed for the same state-space model. The method is applied as a soft input-soft output (SISO) blind equalizer in a turbo receiver framework and simulation results are obtained to show its outstanding BER performance.
Original language | English (US) |
---|---|
Article number | 5403527 |
Pages (from-to) | 512-516 |
Number of pages | 5 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 9 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2010 |
Externally published | Yes |
Keywords
- Fixed-lag smoothing
- Mixture Kalman filter
- Particle filter
- SISO equalization
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics