|
|
|
| Interference Cancellation in MIMO Systems with Imperfect Channel State Information |
| Xu Fang-min① Tao Xiao-feng①② Zhang Ping①② |
①(Wireless Technology Innovation Institute (WTI ), Beijing University of Posts and Telecommunications, Beijing 100876, China) ②(Key Laboratory of Universal Wireless Communication (Beijing University of Posts and
Telecommunications) Ministry of Education, Beijing 100876, China) |
|
|
|
|
Abstract Unknown interference and noise are ubiquitous in the complexity multi-antennas environment. They not only reduce precision of signal detection in Multi-Input Multi-Output (MIMO) systems seriously but also make it difficult to obtain perfect Channel State Information (CSI). In this paper, to cancel unknown interference in MIMO systems, a new approach for modeling these systems with imperfect CSI is introduced. The interference is treated as a nonlinear function in the model and estimated based on nonparametric theory. Unlike other interference cancellation methods, the interference treated here is unknown absolutely. Furthermore, the proposed interference cancellation is proved to be effective via theoretical analysis. That is, estimation of the interference is convergent. Simulation results demonstrate that the interference cancellation proposed here is valid for MIMO systems with imperfect CSI.
|
|
Received: 28 May 2007
|
|
|
|
Corresponding Authors:
Xu Fang-min
|
|
|
|
|
|
|
2008, Vol. 30 
