电力负控系统无线信道智能滤波FSK的研究

Research on FSK signal with intelligent filtering in electric power load control system

电力负控系统无线通信采用二进制FSK调制方式,针对信号在调制速率要求高的情况下,载波周期数少、频带窄、带通滤波器灵敏性较差的问题,运用神经网络滤波的二进制频移键控信号的数字化解调方法对该问题进行了研究,提出一种基于余弦基神经网络FIR滤波器的设计方法,构建了一个智能化的算法模型。在解调时使用码元稳定区中若干个载波周期内的采样值作DFT变换提取幅值来进行解调判定。通过数值仿真,取得理想的效果,验证了该算法的有效性,具有较好的应用价值。

Communication commonly used in electric power load control system is binary FSK modulation. According to problems of small number of carrier cycles, narrow band and poor sensitivities of band-pass filter under the condition of modulation rate＇ s high requirements, a method based on neural network filtering for FSK digital demodulation method is studied in this paper. A neural model of cosine basis with three layers is set up and an intelligent algorithm model is constructed. Only samples of several carrier circles in steady section are used to do DFT to get the amplitude and thus resume the original data. The simulation and analysis show that this method gets the ideal effect. It verifies the effectiveness of the algorithm and has a good application value.