物联网多设备环境下单通道窄带信号盲分离算法研究

Lot Equipment Environment More Order Channel Narrowband Signal Blind Source Separation Algorithm Research

对物联网设备环境下的单通道窄带信号进行盲分离,在提高信道均衡性方面具有重要意义.传统的信号盲分离算法采用正交幅度调制信道分配方法,对物联网多设备环境下的窄带信号进行盲分离性能较差.对此提出了基于双门限接收的单通道窄带信号盲分离算法.构建了信号的双门限判决变量分析模型,设计单通道窄带相关处理器,采用基于快速傅里叶变换的单通道窄带相关处理计算方法,采用分段拟合的方式补偿非线性失真,对均衡器进行相位信息迭代控制,结合双门限判决接收算法,实现了对窄带信号的盲分离算法改进.研究表明,采用该算法能有效提高对窄带信号的盲分离检测性能,能有效实现对原始信号的恢复和特征检测,提高了信道增益,实现信道均衡.

The lot equipment under the environment of single channel narrow-band signal blind source separation, it is of great significance in enhancing channel balance. Traditional blind source separation algorithm USES the quadrature amplitude modulation channel allocation method, on the Internet of things more equipment environment about the worse performance of narrowband signal blind source separation problem. Based on double threshold receives the single channel of narrowband signal blind source separation algorithm is proposed. Build the double threshold decision variable signal analysis model, design of single channel narrow band correlation processor, based on fast Fourier transform calculation method of the single channel narrow band correlation processing, using piecewise fitting method to compensate the nonlinear distortion, to control the phase information of the iterative equalizer, in combination with double threshold judgment receiving algorithm, implements the narrowband signal blind source separation algorithm is improved. Studies show that the proposed algorithm can effectively improve the narrowband signal blind source separation detection performance, the effective implementation of the original signal recovery and feature detection, improve the channel gain and achieve channel equalization.