| Paper: | SAM-P6.12 | ||
| Session: | Space-Time Processing for Communications | ||
| Time: | Thursday, May 20, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Channel modeling and equalization | ||
| Title: | THE MULTI-CHANNEL LEAST SQUARES ORDER RECURSIVE LATTICE SMOOTHER | ||
| Authors: | Dong Kyoo Kim; Pohang University of Science and Technology | ||
| PooGyeon Park; Pohang University of Science and Technology | |||
| Soo Jin Kim; Pohang University of Science and Technology | |||
| Abstract: | Multiple-input Multiple-output (MIMO) antenna array systems promise us to achieve high speed data transmission within limited frequency bands. Studies have been usually made for the flat fading channels. It has been showed that a simple VBLAST in a quasi-static narrowband indoor radio channel achieved its spectral efficiency of 20-40 bits/sec/Hz. Other studies exploited the antenna diversity of the MIMO systems such as space-time coding methods. In these efforts, the flat fading environment have usually been assumed in their algorithms. For wideband communications, frequency selective channels cause multipath inter-channel interferences to degrade the performance of the MIMO systems. To protect the system against that degradation, it is necessary such an algorithm that not only compensates signals due to the channel distortion but also suppresses the channel interferences. In this paper, we propose a highly numeric-stable algorithm, the multi-channel least squares order recursive lattice smoother (MLSORLS), which equalizes the MIMO channels and suppresses their interferences at the same time. The MLSORLS is numerically much stable than any other adaptive algorithms in the finite precision. Complexity increases rapidly as the number of antennas of the MIMO systems increase. Thus, numerical property of adopted algorithms in the MIMO systems gets more important. In this sense, we believe that the proposed algorithm contributes to such a complex implementation of the MIMO systems. | ||
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