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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/10119/7773
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| タイトル: | Iterative PDF Estimation-Based Multiuser Diversity Detection and Channel Estimation with Unknown Interference |
| 著者: | Veselinovic, Nenad
Matsumoto, Tad
Juntti, Markku |
| キーワード: | turbo equalization
cochannel interference
PDF estimation |
| 発行日: | 2005 |
| 出版者: | Hindawi Publishing Corporation |
| 誌名: | EURASIP Journal on Applied Signal Processing |
| 巻: | 2005 |
| 号: | 6 |
| 開始ページ: | 872 |
| 終了ページ: | 882 |
| DOI: | 10.1155/ASP.2005.872 |
| 抄録: | The equivalent diversity order of multiuser detector employing multiple receive antennas and minimum mean squared error (MMSE) processing for frequency-selective channels is decreased if it aims at suppressing unknown cochannel interference (UCCI) while detecting multiple users' signals. This is an unavoidable consequence of linear processing at the receiver. In this paper, we propose a new multiuser signal detection scheme with the aim to preserve the detector's diversity order by taking into account the structure of the UCCI. We use the fact that the structure of the UCCI appears in the probability density function (PDF) of the UCCI plus noise, which can be characterized as multimodal Gaussian. A kernel smoothing PDF estimation based receiver is derived. The PDF estimation can be based on training symbols only (noniterative PDF estimation) or on training symbols as well as feedback from the decoder (iterative PDF estimation). It is verified through simulations that the proposed receiver significantly outperforms the conventional covariance estimation in channels with low frequency selectivity. The iterative PDF estimation significantly outperforms the noniterative PDF estimation-based receiver with minor training overhead. |
| Rights: | Copyright (C) 2005 Hindawi Publishing Corporation. Nenad Veselinovic, Tad Matsumoto, and Markku Juntti, EURASIP Journal on Applied Signal Processing, 2005(6), 2005, 872-882. |
| URI: | http://hdl.handle.net/10119/7773 |
| 資料タイプ: | publisher |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
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| A9929.pdf | | 327Kb | Adobe PDF | 見る/開く |
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