通信辐射源运动轨迹相似性分析

针对传统运动轨迹相似性分析利用时空信息效率不高问题,结合通信辐射源主体特点,提出基于时空和语义信息的辐射源轨迹相似性分析算法。在该算法中,对相似运动轨迹距离测度进行改进,提出基于马氏距离的轨迹时空相似度算法,将轨迹分割后计算相似度,克服了时间不匹配轨迹和不同采样间隔对轨迹相似性判断的影响;同时,结合基于高效K近邻(K-nearest neighbor, KNN)相似搜索的语义相似数据搜索算法,实现对辐射源相似轨迹的准确判断。该算法能够准确判断相似轨迹,优于现有的相似轨迹判断方法,且适应噪声环境。仿真实验结果验证了该算法的性能。

Similarity analysis of motion trajectory of communication transmitter

Aiming at the problem of the inefficiency of spatio-temporal information in traditional trajectory similarity analysis, combined with the main characteristic of communication transmitter, an algorithm of transmitter trajectory similarity analysis based on spatio-temporal and semantic information is proposed. In this algorithm, the distance measurement of similar motion trajectory is improved, and a trajectory spatio-temporal similarity algorithm based on Mahalanobis distance is proposed, which computes the similarity after trajectory segmentation, overcomes the influence of time mismatch trajectory and different sampling intervals on trajectory similarity judgment. At the same time, combined the semantic similarity data search algorithm based on efficient K-nearest neighbor (KNN) similarity search, accurate judgment of the similar trajectory of the transmitter is realized. The algorithm can judge the similar trajectory accurately, which is superior to the existing similar trajectory judgment methods, and adapts to the noise environment. The simulation experiment results verify the performance of the algorithm.