| 基于神经网络的多窗口频谱估计方法研究 |
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| 引用本文： | 马伟,武穆清,李冠男,张宁. 基于神经网络的多窗口频谱估计方法研究[J]. 电波科学学报, 2009, 24(6) |
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| 作者姓名： | 马伟 武穆清 李冠男 张宁 |
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| 作者单位： | 1. 北京邮电大学,北京,100876
2. 通信指挥学院,湖北,武汉,430010 |
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| 基金项目： | 国家高科技发展计划项目 |
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| 摘 要： | 干扰温度估计是认知无线电技术中的关键问题之一.多窗口频谱估计结合奇异值分解技术提供了一种估算射频环境中干扰温度功率谱的有效途径.提出基于神经网络的多窗口频谱估计结合奇异值分解的算法,与传统算法相比,该算法提高了干扰温度估计值的可靠性和准确度,降低了计算复杂度,同时能够适应复杂电磁环境下对干扰温度的实时性估值的要求.
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| 关 键 词： | 神经网络 认知无线电 干扰温度 奇异值分解 |
Multi-window spectral estimation based on neural network techniques |
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| MA Wei,WU Mu-qing,LI Guan-nan,ZHANG Ning. Multi-window spectral estimation based on neural network techniques[J]. Chinese Journal of Radio Science, 2009, 24(6) |
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| Authors: | MA Wei WU Mu-qing LI Guan-nan ZHANG Ning |
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| Affiliation: | MA Wei1 WU Mu-qing1 LI Guan-nan2 ZHANG Ning3 (1.Beijing University of Posts , Telecommunications,Beijing 100876,China,2.PLA Communication , Comm, Institute,Wuhan Hubei 430010,3.PLA Communication Network Technology Management Center,Beijing 100846,China) |
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| Abstract: | Interference temperature estimation is one of the most crucial problems in cognitive radio. The technology of multiplication windows frequency spectrum estimating integrating the singular-value decomposition(SVD)offers an efficient method which estimates interference temperature in radio frequency environment. In this paper,a new method is proposed which is based on neural network techniques,which complexity of convention arithmetic is predigested and nicety of interference temperature estimation is improve... |
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| Keywords: | neural network cognitive radio interference temperature SVD |
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