| Performance Analysis of Hard Iterative Channel Estimation in Turbo Equalization |
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| 作者姓名： | 邓拥军 杨知行 潘长勇 王军 |
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| 作者单位： | States Key Laboratory on Microwave and Digital Communications Department of Electronic Engineering Tsinghua University，States Key Laboratory on Microwave and Digital Communications Department of Electronic Engineering Tsinghua University，States Key Laboratory on Microwave and Digital Communications Department of Electronic Engineering Tsinghua University，States Key Laboratory on Microwave and Digital Communications Department of Electronic Engineering Tsinghua University，Beijing 100084 China，Beijing 100084 China，Beijing 100084 China，Beijing 100084 China |
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| 基金项目： | Supported by the National High-Tech Research and Development (863) Program of China |
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| 摘 要： | Introduction In a band-limited digital communication system such as for satellite communications, the transmitted digital symbols will be distorted by the equivalent base-band linear finite impulse response channel, which intro- duces intersymbol interfer…
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| 关 键 词： | 线性最小均方差 迭代 信道估计 梯度下降算法 LMMSE-TE |
| 收稿时间： | 2005-02-28 |
| 修稿时间： | 2005-02-282005-08-22 |
Performance Analysis of Hard Iterative Channel Estimation in Turbo Equalization |
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| Yongjun Deng, &#x; , Zhixing Yang, &#x; , Changyong Pan, ,Jun Wang, .Performance Analysis of Hard Iterative Channel Estimation in Turbo Equalization[J].Tsinghua Science and Technology,2006,11(5):574-581. |
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| Authors: | Yongjun Deng &#x; Zhixing Yang &#x; Changyong Pan Jun Wang |
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| Institution: | States Key Laboratory on Microwave and Digital Communications, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China |
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| Abstract: | Reasonable bit error rate performance requires perfect channel state information (CSI) in tradi- tional turbo equalization (TE), which is hard to obtain in practice. Soft and hard iterative algorithms have been developed to address the channel estimation problem with the performance of the soft iterative chan- nel estimate based on the recursive least square algorithm. This paper presents an analysis of the perform- ance of hard iterative channel estimation (HICE) based on the least mean square algorithm. The analysis uses a cost function with the hard decision on the TE output. An iterative channel correction (ICC) algorithm based on the gradient descent algorithm is used to iteratively minimize the cost function. The simulation re- sults agree with the theoretical lower bound for the mean square error (MSE) of the estimated channels. Simulations show that, given an imperfect CSI with an MSE below the upper bound, the linear minimum mean squared error TE (LMMSE-TE) using the ICC has only small performance degradation compared to that with a perfect CSI, while the traditional LMMSE-TE suffers from severe error floor effect even with more iterations. |
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| Keywords: | iterative channel estimation turbo equalization gradient descent algorithm |
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