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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。
The new power wireless broadband system is to meet the communication needs of smart power distribution system, power 230MW dedicated spectrum power spectrum dedicated to research and development of power wireless network, the system in the application process may exist with the 230 digital radio stations share the same spectrum Case. In order to ensure the stable and efficient operation of the two systems, a two-level two-threshold local spectrum sensing algorithm combining two sensing algorithms, energy perception and cyclostationary feature sensing, is proposed. This algorithm first performs coarse detection by energy-aware method and then selects the use of cyclostationary feature-aware algorithm for fine detection based on the noise uncertainty. If the uncertainty of noise is large, the perceived proportion of cyclostationary features is automatically increased. If the uncertainty of the noise is small, the cyclostationary feature is automatically reduced or not perceived. In this way, not only ensure the correctness of the test, but also dynamically adjust the calculation. The simulation results and performance analysis show that the proposed algorithm can reduce the computational complexity and improve the detection performance while ensuring the system performance.