| 利用功率谱最大最小值的频谱感知算法 |
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| 引用本文： | 赵知劲,吕曦,尚俊娜,王海泉.利用功率谱最大最小值的频谱感知算法[J].信号处理,2017,33(2):152-157. |
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| 作者姓名： | 赵知劲 吕曦 尚俊娜 王海泉 |
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| 作者单位： | 杭州电子科技大学浙江省数据存储传输及应用技术研究重点实验室 |
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| 基金项目： | “十二五”国防预研项目（41001010401） |
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| 摘 要： | 为了提高频谱感知性能，首先利用功率谱函数特性和瑞利熵概念，从理论上分析了基于功率谱的频谱感知算法原理，提出一种以功率谱的最大最小值之差作为检测统计量的频谱感知新算法；然后推导给出了检测门限和检测概率表达式；最后给出了仿真结果。理论分析和仿真结果表明，在AWGN信道和Rayleigh衰落信道中本文算法都具有良好的检测性能，性能优于已有的利用功率谱的频谱感知算法，该算法不需要主用户信息，不用进行复杂的特征值分解，当虚警概率确定时，检测门限能准确给出。
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| 关 键 词： | 认知无线电 频谱感知 功率谱密度 瑞利熵 |
| 收稿时间： | 2016-05-17 |
The spectrum sensing algorithm using the maximum value and minimum value of the power spectral density |
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| Affiliation: | Zhejiang Provincial Key Lab of Data Storage and Transmission Technology, Hangzhou Dianzi UniversityState Key Lab of Information Control Technology in Communication System of No 36 Research Institute,China Electronic Technology Corporation |
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| Abstract: | To improve the spectrum sensing performance, firstly using the characteristics of power spectral function and the concept of Rayleigh entropy, the spectrum sensing algorithm based on power spectral are theoretically analyzed and an algorithm of spectrum sensing based on the difference between the maximum value and minimum value of the power spectral is put forward. And then the detection threshold and the detection probability are derived. Finally the simulation results are given. Theoretical analysis and simulation results show that in AWGN channel and Rayleigh fading channel the algorithm has good detection performance, and it is better than the existing spectrum sensing algorithm using power spectral. The algorithm does not need the primary user information and complex eigenvalue decomposition. The decision threshold can be given accurately when the false probability is fixed . |
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