利用谱估计算法的雷达信号分选

传统雷达信号分选过程中分别进行脉冲重复频率检测与初始到达时间估计时，脉冲搜索时间过长。为此，提出了一种新的基于谱估计的信号分选算法。该算法通过谐波滤除减小了脉冲初始到达时间估计的运算次数，并在进行脉冲重复频率检测的同时估计脉冲初始到达时间，从而避免了传统信号分选算法中对整个序列的遍历，节省了计算资源。仿真结果验证了该算法的有效性。

Radar signal sorting based on spectrum estimation

Traditional radar signal sorting methods have expensive cost on computation in pulse repetition frequency(PRF) detection and initial arrival time(IAT) estimation respectively. To solve this problem,a novel sorting method based on spectrum estimation is proposed. The method cuts down the operational times for IAT estimation by removing the harmonics,and determines the IAT while detecting the periodicity of a pulse train,thus avoiding the conventional traverse of sequence and saving the computational resource. Simulation results demonstrate its feasibility and efficiency.