传感网络信道奇异类信号检测研究

Singular Signal Detection Research on Wireless Sensor Network Channel

由于传统的无线传感网络信道中奇异类信号检测方法,受到码间串扰致使信道传输性能下降,通信信号波形难以保持原状,造成奇异类信号特征失真,检测准确率下降,误检率和漏检率升高。提出信道采样信号局部特征压缩和最小二乘法理论相结合奇异类信号检测方法。利用多普勒频移补偿奇异类信号局部特征的预测值避免信号传播的延时性,达到码间串扰下检测准确率的目的,通过最小二乘法对预测值进行局部特征压缩和修正,对特征信号进行提取,实现对码间串扰下无线传感网络信道中奇异类信号的检测。仿真结果表明,所提方法检测性能较于传统方法有了明显提高,并降低了奇异类信号检测的误检率和漏检率,在一定程度上提高了无线传感网络的安全性能。

The paper proposed a singular signal detection method which combines partial feature compression of channel sampling signal with least squares theory. Doppler frequency shift was used to compensate the forecast value of the singular class local signal characteristics, to avoid signal propagation delay and reach the purpose of detection accuracy under the intersymbol interferenee. Least square method was used to forecast the local characteristics of compression and correction, to extract characteristic signal and realize the intersymbol interference in the wireless sensor network channel under the singular signal detection. Detection performance simulation results show that the proposed method has been obviously improved, which reduces the singular signal error detection rate of class and miss rate, and improves the performance of wireless sensor network security to a certain extent.