多自回归信道盲识别的极大似然法

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698) Pub Date : 2003-07-06 DOI:10.1109/ICME.2003.1221685

Zheng Fang, Y. Hua

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引用次数: 0

摘要

提出了一种两步最大似然(TSML)算法，用于自回归(AR)系统单输入多输出(SIMO)通道的盲识别。AR-TSML算法为移动平均(MA)系统的TSML算法提供了一个新的、有用的替代方案。当信道脉冲响应具有长尾时，AR-TSML算法比MA-TSML算法具有更强的鲁棒性。

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Maximum likelihood method for blind identification of multiple autoregressive channels

We present a two-step maximum likelihood (TSML) algorithm for blind identification of single-input-multiple-output (SIMO) channels modeled as autoregressive (AR) system. The AR-TSML algorithm provides a new and useful alternative to a previously developed TSML algorithm for moving-average (MA) system. The AR-TSML algorithm is shown to be more robust than the MA-TSML algorithm if the channel impulse responses have long tails.

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2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)

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