Title :
SMC-based blind detection for DS-CDMA systems over multipath fading channels
Author :
Yu, Qian ; Bi, Guoan ; Wan, Chunru
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
6/1/2006 12:00:00 AM
Abstract :
This letter derives a computationally efficient sequential Monte Carlo solution for blind detection of direct-sequence code-division multiple-access systems over multipath fading channels by decomposing the observed data into a number of signal components. Then the parameters of each component can be estimated by the sequential importance sampling and Kalman filtering. In comparison with other similar receivers, simulation results demonstrate that the proposed solution achieves the desirable performance with a significantly reduced computational complexity
Keywords :
Kalman filters; code division multiple access; computational complexity; fading channels; filtering theory; importance sampling; matrix algebra; multipath channels; spread spectrum communication; DS-CDMA systems; Kalman filtering; blind detection; computational complexity; direct-sequence code-division multiple-access systems; multipath fading channels; sequential Monte Carlo; sequential importance sampling; Computational complexity; Computational modeling; Fading; Filtering; Kalman filters; Maximum likelihood estimation; Monte Carlo methods; Multiaccess communication; Signal processing; Sliding mode control; Code-division multiple access (CDMA); Kalman filtering; expectation-maximization (EM); multipath fading; sequential Monte Carlo (SMC); sequential importance sampling;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2006.876830
