【摘要】 本文提出了基于最小二乘支撑矢量机(LS-SVM)学习算法的一种DCSK混沌通信系统降噪方法。在发信端混沌信号的动力学特性是已知的情况下,设定接收信号为训练样本集,利用LS-SVM的非线性处理能力对接收信号进行估计,从而优化接收的混沌信号,达到降噪的目的。仿真结果表明,优化后的系统误码率(BER)性能得到改善。更多还原

【Abstract】 This paper proposed a noise reduction method to DCSK communications system using least square Support Vector Machine ( LS-SVM). Noise reduction is achieved by using a LS-SVM with the fact that the dynamics of the circuit used at the transmitter to generate the chaotic signal is known at the receiver. Computer simulation of the noise performance of the DCSK communication system show that the noise reduction technique improves the overall noise performance.更多还原