A New Blind Adaptive Multiuser Detection Algorithm of Kalman Filtering Based on Subspace
- Resource Type
- Authors
- Ju-Min Zhao; Yong-Chao Shi; Deng-Ao Li
- Source
- FSKD (1)
- Subject
- Computer science
Code division multiple access
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Data_CODINGANDINFORMATIONTHEORY
Kalman filter
Interference (wave propagation)
Multiuser detection
Spread spectrum
Communication complexity
Algorithm
Subspace topology
Computer Science::Information Theory
Communication channel
Rayleigh fading
- Language
To solve the problem of multiple-access interference (MAI) in the DS-CDMA system, this paper analyzed the blind adaptive multiuser detection algorithm of Kalman filtering proposed by Zhang Xianda etc., and put forward a new algorithm based on subspace to reduce the computation complexity. The simulation results show that the new algorithm has better convergence performance in non-fading channels as well as in slowly time-varying Rayleigh fading channels.