| Paper: | SPCOM-P6.8 | ||
| Session: | Channel Estimation & Equalization I | ||
| Time: | Wednesday, May 17, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communication: Channel modeling and estimation, training schemes | ||
| Title: | BLIND MIMO FIR CHANNEL IDENTIFICATION BY EXPLOITING CHANNEL ORDER DISPARITY | ||
| Authors: | Jun Fang, National University of Singapore, Singapore; A. Rahim Leyman, Yong-Huat Chew, Institute for Infocomm Research, Singapore | ||
| Abstract: | In this paper, we consider the problem of blind multiple-input multiple-output finite impulse response (FIR) channel identification driven by spatially uncorrelated and temporarily white input signals. A method that can entirely identify the MIMO channel based on the second-order statistics (SOS) of the observed data is proposed. The complete identification of the convolutive mixture is accomplished by exploiting the diversity of the channel orders. The uniqueness of the proposed solution is proved. Numerical simulation results are presented to illustrate the performance of the proposed algorithm. | ||
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