一种PCM相参脉冲序列多普勒频率变化率估计算法

相位编码调制信号是一种典型的脉冲压缩信号,广泛应用于脉冲压缩体制的低截获概率雷达中.来波信号中多普勒频率变化率的高精度估计是基于质点运动学原理的单站无源定位与跟踪的一个关键技术.该文针对信号脉内相位调制和多普勒频率变化率信息非常微弱的特点,提出了一种快速高精度估计算法,通过相邻脉冲间的时域相关消除了相位调制对参数估计的影响,频域积累增强了信噪比,利用脉冲间的相参特性进行频谱相关消除了相位模糊,并放大了多普勒频率变化率信息.算法计算量小,为实际应用提供了良好条件.计算机仿真结果证明了算法的有效性.

An Estimation Algorithm for Doppler Frequency Rate-of-Change with PCM Coherent Pulse Train

PCM signal is a kind of pulse compression signal which is widely used in low probability of intercept adopting pulse compression radar system. An accurate estimation of Doppler frequency rate-of-change from received signal is a key technology in the passive locating and tracking system of single observer based on particle kinematics theory. In consideration of the in-pulse phase modulation and Doppler frequency rate-of-change’s subtleness, a fast and accurate algorithm is proposed. The influence to parameter estimation with phase modulation is dismissed by time domain correlation between neighboring pulses. Signal noise ratio is increased by frequency domain accumulation. Frequency domain correlation is used to realize phase unwrapping and enhance the Doppler frequency rate-of-change based on the coherent characteristic between pulses. This algorithm has small computation which provides well condition for application to practice. The computer simulation results demonstrate the efficiency of this algorithm.