摘要
提出了一种脉冲群间多普勒频率变化率的高精度测量算法,该算法利用脉冲群内相邻脉冲对间的互相关函数估计脉冲群模糊频率,在连续脉冲群间选择任一相同模糊频率进行解模糊得到各脉冲群相对频率,由于这些相对频率包含相同的模糊,从而可以利用差分或滤波算法得到脉冲群间多普勒频率变化率。该算法具有相对频率估计精度高、解模糊过程简单、运算量小、多普勒频率变化率测量精度高等优点。计算机仿真和地面缩比试验均证明了该测量算法的有效性。
<Abstrcat>An accurate measurement algorithm of Doppler frequency rate between the clusters of pulses is given. The algorithm uses cross-correlating function between the succeeding pulse in the cluster to estimate ambiguous frequency of the cluster and select the same ambiguous frequency between the succeeding cluster of pulses to solve ambiguity to acquire the relative frequencies. Because these relative frequencies include the same ambiguity, the filter algorithm can be used to estimate the Doppler frequency rate between the clusters of pulses. The relative frequency and Doppler frequency rate estimation accuracy is high, and the process of solving the ambiguity is simple. The performance of the algorithm is effectively demonstrated by the computer simulation and ground test.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2005年第3期34-39,共6页
Journal of National University of Defense Technology
基金
国家部委预研基金项目(41101030112)
关键词
脉冲群
相参脉冲
解模糊
多普勒频率变化率
cluster of pulses
coherent pulses
solving ambiguity
Doppler frequency rate
