基于功率谱密度中段平均的频谱感知算法

doi:10.11959/j.issn.1000-0801.2016196

摘要/Abstract

摘要：

根据有、无主用户信号时接收信号功率谱最大、最小值差值不同的特点，提出了一种基于功率谱密度中段平均的频谱感知算法。针对估计的信号功率谱在最小值附近波动多、最小值难以根据单个点准确给出的问题，利用接收信号功率谱中段平均值估计功率谱的最小值，降低最小值的随机性对频谱感知算法性能的影响。理论推导了检测门限和检测概率的表达式，并对算法进行了仿真分析。仿真结果表明，在AWGN信道和Rayleigh衰落信道中，本文算法性能都优于已有的功率谱密度频谱感知算法。该算法无需主用户信息，不用进行复杂的特征值分解。

关键词: 认知无线电, 频谱感知, 功率谱密度, 最小值

Abstract:

The difference between maximum and minimum value of the received signal power spectrum is distinct when the primary user signal is present or absent.Using this characteristic,the spectrum sensing algorithm based on the average of the middle part of power spectral density was proposed.Since the minimum of the signal power spectral density fluctuated,the minimum couldn't be accurately estimated from a frequency point.The minimum value of the power spectrum was estimated by using the average value of the middle part of the received signal power spectrum to reduce the effect of the randomness of minimum value on spectrum sensing performance.The expressions of detection threshold and detection probability were derived.Simulation results show that performance of the algorithm is better than those of the present spectrum sensing algorithms based on power spectrum density under the AWGN channel and the Rayleigh fading channel.The algorithm didn't need the primary user information and complicated eigenvalue decomposition.

Key words: cognitive radio, spectrum sensing, power spectral density, minimum value

赵知劲,吕曦,郑仕链. 基于功率谱密度中段平均的频谱感知算法[J]. 电信科学, 2016, 32(7): 53-60.

Zhijin ZHAO,Xi LV,Shilian ZHENG. Spectrum sensing algorithm based on average value of middle part of power spectral density[J]. Telecommunications Science, 2016, 32(7): 53-60.

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