Improved algorithm for radar signal sorting based on intercept analysis
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There are some problems existing in common radar signal sorting methods, which are easy to generate Pulse Repetition Interval(PRI) harmonics and split the pulse stream belonging to the same radar into several pieces. In view of these problems,this paper presents an improved algorithm for radar signal sorting basing on an intercept of Time of Arrival(TOA) fitting straight line analysis algorithm. The algorithm can solve these two problems to a large extent. In the improved algorithm of radar signal sorting,the two situations mentioned above are judged by analyzing the intercepts of TOA fitting straight lines,and then corresponding pulse sequences are merged to obtain the correct sorting results. The intercept analysis algorithm enhances the robustness of the sorting algorithm to reduce the algorithm dependence on search tolerance,and it shows good engineering application value. The simulations have proved that,the sorting probability of improved algorithm is higher than that of Sequential Difference histogram(SDIF) by 20%.
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何艾玲,陶荣辉,蔡英武,李合生.基于截距分析的改进雷达信号分选算法[J]. Journal of Terahertz Science and Electronic Information Technology ,2012,10(1):88~92