【摘要】 给出了一种新的利用相参脉冲串进行多普勒频率变化率估计的算法,选取准最佳算法估计频率,减小了频率估计误差。对各脉冲进行脉内相关积累,将相参脉冲串变换成一个新的线性调频信号序列。该序列的样本点数是脉冲个数、采样间隔是脉冲重复周期、调频斜率是多普勒频率变化率、信噪比提高为输入信噪比的N倍(N是脉内采样点数)。因此,可以在较低的信噪比条件下精确估计多普勒频率变化率。仿真结果表明,该算法能在比现有算法更低的信噪比条件下精确估计多普勒频率变化率,其性能接近相参脉冲串多普勒频率变化率估计的克拉美-罗限。更多还原

【Abstract】 A novel Doppler frequency rate-of-change estimation algorithm for the coherent pulse train is presented.A suboptimal frequency estimation method is used to estimate the frequency and the error of the frequency estimation is reduced.A new chirp signal is obtained after intrapulse correlation accumulation of the coherent pulse train.And the number of the sample is the number of the pulses,the sampling interval is the pulse repetition interval,and the frequency rate is the Doppler frequency rate-of-change.And the signal-to-noise ratio(SNR) is enhanced N times than that of the input SNR(N is the number of the signal sample within a pulse).Accordingly,it is possible to estimate the Doppler frequency rate-of-change precisely under lower SNR conditions.Simulation results show that the algorithm can estimate the Doppler frequency rate-of-change accurately under lower SNR conditions than the existing algorithm,and the performance approaches the Cramer-Rao lower bound(CRLB) of the coherent sinusoidal pulse train.更多还原