| 基于模糊规则的低轨卫星信道自适应估计算法 |
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| 引用本文： | 卓永宁,朱立东,吴诗其.基于模糊规则的低轨卫星信道自适应估计算法[J].电波科学学报,2007,22(2):286-291. |
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| 作者姓名： | 卓永宁 朱立东 吴诗其 |
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| 作者单位： | 电子科技大学抗干扰通信国家重点实验室,四川,成都,610054 |
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| 摘 要： | 低轨卫星通信功率控制需要有对信道增益及时的估计,而由于低轨系统链路增益的时变特性使传统的信道估计方法性能受到限制.基于模糊滤波理论,提出一种在功率控制中使用的自适应LMS信道估计算法,根据分析模型和经验数据建立信道增益及其滑动均值大小的模糊集,利用LMS算法调整模糊隶属函数的参数,使算法具有对信道时变特性一定的适应性.仿真结果表明了算法的有效性.
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| 关 键 词： | 信道估计 卫星 自适应 模糊 最小均方误差 |
| 文章编号： | 1005-0388（2007）02-0286-06 |
| 收稿时间： | 2005-09-27 |
| 修稿时间： | 2005年9月27日 |
An adaptive channel estimation algorithm based on fuzzy rules for LEO communication |
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| ZHUO Yong-ning,ZHU Li-dong,WU Shi-qi.An adaptive channel estimation algorithm based on fuzzy rules for LEO communication[J].Chinese Journal of Radio Science,2007,22(2):286-291. |
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| Authors: | ZHUO Yong-ning ZHU Li-dong WU Shi-qi |
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| Affiliation: | National Key Laboratory of Communication, UEST of China, zyning@uestc, edu. cn, Chengdu Sichuan 610054, China |
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| Abstract: | The opportune estimation of channel gain in low earth orbit (LEO) communication is significant for successful power control, but the time-varying characteristic of LEO satellite communication channel degrades the performance of conventional method. Based on fuzzy filter theory, a novel adaptive least mean square (LMS) algorithm of channel estimation for power control is proposed. Based on analysis model and human experiences, the algorithm builds many fuzzy sets over the space of channel gain value and its moving mean value, then adjusts the parameters of the member functions of the fuzzy sets with LMS principle, so adapts itself to the time-varying characteristics of satellite channel. The result of simulation validate the efficiency of the algorithm. |
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| Keywords: | channel estimation satellite adaptive fuzzy LMS |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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