基于自适应免疫算法的欺骗信号检测方法

针对常见的转发式欺骗干扰, 提出了一种基于自适应免疫算法的欺骗信号检测方法。在载波相位双差检测的基础上, 构造正常信号和欺骗信号两种检测模式; 然后利用免疫算法获取待检测数据与监测器的亲和度指数, 筛选出符合阈值要求的监测器, 从而解算出待检测数据隶属于各检测模式的概率。为进一步解决在实际检测过程中出现的虚警问题, 引入自适应算法对交叉概率和变异概率进行非线性自适应调节, 提高了检测结果的准确性。实验结果表明, 所提方法对于欺骗信号检测准确率能够达到98.8%, 有效地实现了欺骗干扰信号检测。

Spoofing signal detection method based on adaptive immunity algorithm

Aiming at the problems of complex ambiguity resolution and limited application scenarios in carrier phase difference detection method, an spoofing signal detection method based on adaptive immune algorithm is proposed. Based on the carrier phase double difference detection, two detection modes of normal signal and deception signal are constructed; Then the immune algorithm is used to obtain the affinity index between the data to be detected and the monitor, and the monitors that meet the threshold requirements are selected, so as to calculate the probability that the data to be detected belongs to each detection mode. In order to solve the problem of false alarm in the actual detection process, an adaptive algorithm is introduced to adjust the crossover probability and mutation probability nonlinearly, which improves the accuracy of the detection results. The experimental results show that the accuracy of the proposed method for deception signal detection can reach 98.8%, and the deception interference signal detection is effectively realized.