JAIST Repository >
b. 情報科学研究科・情報科学系 >
b10. 学術雑誌論文等 >
b10-1. 雑誌掲載論文 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/4645
|
タイトル: | Channel Identification and Sequential Sequence Estimation Using Antenna Array for Broad-Band Mobile Communications |
著者: | Matsumoto, Tadashi |
発行日: | 2000-09 |
出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
誌名: | IEEE Transactions on Vehicular Technology |
巻: | 49 |
号: | 5 |
開始ページ: | 1776 |
終了ページ: | 1783 |
DOI: | 10.1109/25.892582 |
抄録: | This paper proposes the joint use of an antenna array and sequential sequence estimation (SSE) technique for the equalization of multipath fading channels suffering from severe intersymbol interference (ISI). It is shown that with the proper use of the multiple stack algorithm (MSA), exploiting the redundant structure of the signal received by multiple antenna array elements can enhance the uniqueness of the sequence estimation, thereby significantly reducing the frame erasure probability. Three new algorithms are derived for vector channel identification, the results of which are used to calculate the Fano metric for SSE. The first algorithm uses just a temporal reference, and others use both temporal and spatial references. Impacts of using the temporal and spatial references are investigated in terms of the channel identification accuracy as well as overall frame erasure rate (ERR) and bit error rate (BER). Results of computer simulations are then presented to compare the performances of the three algorithms for vector channel identification. The propagation scenario assumed in the simulations is equal-power 12-path propagation, in which, even with binary phase shift keying (BPSK), maximum likelihood sequence estimation (MLSE) requires 2048 states. It is shown that even in such a complicated situation, the MSA algorithm can achieve excellent ERR and BER performances with reasonable computational complexity. |
Rights: | Copyright (c)2000 IEEE. Reprinted from IEEE Transactions on Vehicular Technology , 49(5), 2000, 1776-1783. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
URI: | http://hdl.handle.net/10119/4645 |
資料タイプ: | publisher |
出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
|
このアイテムのファイル:
ファイル |
記述 |
サイズ | 形式 |
9917.pdf | | 172Kb | Adobe PDF | 見る/開く |
|
当システムに保管されているアイテムはすべて著作権により保護されています。
|