一种应用于电力无线专网的两级双门限本地频谱感知技术研究

A Two-stage Double-threshold Local Spectrum Sensing Algorithm Research for the Power Private Communication Network

新型电力无线宽带系统是为满足智能配用电系统的通信需求,在电力专用230 MHz频谱资源上研究开发的电力无线专网,该系统在应用过程中可能存在与230数传电台共用同一段频谱的情况。为保证2个系统同时稳定、高效的运行,提出一种结合能量感知和循环平稳特征感知2种检测算法的两级双门限本地频谱感知算法。这种算法首先通过能量感知法进行粗检测,然后根据噪声不确定性情况选择使用循环平稳特征感知算法进行细检测。若噪声的不确定性大,就自动增加循环平稳特征感知的比例,若噪声的不确定性小,则自动减小甚至不进行循环平稳特征感知。这样,既保证了检测的正确性,又能动态调整计算量。仿真结果和性能分析表明,该算法在保证系统检测性能的同时,降低计算的复杂度,并有效提升检测性能。

To meet the communication needs of smart power distribution and utilization system, a novel power private communication network is developed. The system faces a problem that it may operate coexisted with a 230 data transceiver system. In order to keep the two systems operating stably and efficiently at the same time, this paper presented a two-stage double-threshold spectrum sensing algorithm. The algorithm integrates the energy sensing and cyclostationary feature sensing. The algorithm is used for coarse detection firstly by energy sensing, then used for fine detected by cyclostationary sensing. The threshold will be adjusted adaptively according to the noise uncertainty. If the noise uncertainty increases, it automatically increases the proportion of cyclostationary feature sensing; if the noise uncertainty decreases, it automatically reduces or even no cyclostationary feature sensing. Thus, it can ensure the detection performance and adjust the amount of computation dynamically as well. The analysis of the simulation results show that the algorithm improves the detection performance obviously and reduces the computing complexity.