移动通信中攻击信号优化检测仿真研究

摘要

对移动通信中攻击信号进行准确的检测,可以保证通信安全.在移动通信过程中,常常出现脉冲信号的干扰,将正常通信信号转变为伪攻击信号,而传统方法不能对伪攻击信号进行准确识别,错将正常信号检测为攻击信号,不能对攻击信号进行准确的检测.提出基于粒子群的移动通信中攻击信号优化检测方法.上述方法先将中值滤波与小波消噪原理相融合,对原始的通信信号离散分解;其次进行去噪处理,选择出信号的非线性函数来近似估计其负熵,最后确定信号负熵最大的目标函数,利用粒子群原理对目标函数求解全局最优解,并以其最优解为依据实现移动通信中攻击信号优化检测.仿真结果证明,所提方法可以有效地对移动通信中攻击信号进行检测,提升网络通信的质量,且鲁棒性较强.%It can ensure the communication security to accurately detect the attack signal in mobile communication.There is often interference of pulse signal during mobile communication process.It converts the normal communication signal into fake attack signal.Traditional method cannot recognize the fake attack signal accurately.This paper proposes an optimization detection method of attack signal in mobile communication.Firstly,the median filter is integrated with wavelet noise reduction,the original communication signal is discretized,decomposed and de-noised,and the nonlinear function of signal is chosen to approximately estimate its negative entropy.Finally,the objective function with the maximum negative entropy of signal is confirmed.Particle swarm theory is used to solve the globally optimal solution to the objective function,and the optimization detection of attack signal in mobile communication is achieved according to the optimal solution.The simulation results show that the method mentioned above can detect the attack signal effectively.It improves the network communication quality and has strong robustness.