一种基于动态规划的雷达合批新算法

针对信号分选结果增批现象严重、影响识别准确度的问题，通过分析实际侦收信号的特点，并借鉴生物信息学中动态规划比对算法的思想，提出了对脉冲重复周期（PRI）信号在载频维和脉宽维进行合批的方法，并结合该方法设计了动态合批处理流程。该算法通过比较两批数据在PRI值及其排列顺序上的相似性来进行合批，利用PRI周期性这一很稳定的特征较好地解决了批信号在载频和脉宽维上的增批问题。仿真结果表明，该算法在存在脉冲丢失和干扰脉冲的情况下仍能准确合批。

A new radar batching algorithm based on dynamic programming

Given the fact that the results of the signal sorting have some false batches, which seriously affects the accuracy of the recognition process, by analyzing the characteristics of the received pulses, and learning dynamic programming alignment algorithm in bioinformatics, this paper puts forward a batching algorithm using the periodic characteristics of pulse repetition interval(PRI) to solve the problem appearing especially at the carrier frequency dimension and pulse width dimension, and in combination with the method this paper designs a dynamic batching processes. By comparing the similarities of two batches of data both in the values of PRI and its sequence order,it determines whether to batch or not. Simulation results show that the algorithm can work robustly even in the presence of missing pulses and interference pulses.