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| Title: | SIMO Channel Estimation Using Space-Time Signal Subspace Projection and Soft Information |
| Authors: | Cai, Shu
Matsumoto, Tad
Yang, Kehu |
| Keywords: | Channel estimation
maximum likelihood
signal subspac
decoder feedback
Turbo equalization |
| Issue Date: | 2012-05-16 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Magazine name: | IEEE Transactions on Signal Processing |
| Volume: | 60 |
| Number: | 8 |
| Start page: | 4219 |
| End page: | 4235 |
| DOI: | 10.1109/TSP.2012.2196695 |
| Abstract: | We consider the channel estimation of a timeslottedwireless communication system with a mobile user anda base station, where the base station employs an M-element(M > 1) antenna array. The uplink single-input multiple output (SIMO) channel is usually estimated by training sequence within each time slot. To improve the estimation performance, the channel estimate is often refined by projecting it to thecorresponding spatial signal subspace. However, this projection will not work when the number of resolvable multipath rays is larger than that of the antenna array elements, which makes the channel matrix full row rank. In this paper, we formulate the channel estimation under the space-time signal model for this full-row-rank case, and propose a new method by space time signal subspace projection using both training and unknown data sequences. To further improve the accuracy of the channel estimate, the soft information fed back from the decoder can beused. By involving this soft information, we propose another new channel estimation method. This method approximately follows the maximum likelihood (ML) criterion and is therefore referred to as the approximated ML channel estimation. Numerical results show that these methods can be performed separately or jointly to improve the performance of channel estimation by training sequences. |
| Rights: | This is the author's version of the work. Copyright (C) 2012 IEEE. IEEE Transactions on Signal Processing, 60(8), 2012, 4219-4235. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | http://hdl.handle.net/10119/10535 |
| Material Type: | author |
| Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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