基于改进的Kalman滤波的雷达信号PRI估计
Estimation and Recognition of PRI in Radar Signals
脉冲重复间隔(PRI)是雷达辐射源的一个关键的特征参数，它决定了雷达的最大无模糊距离和最大无模糊径向速度。因此，PRI在雷达信号分选中有着十分重要的作用。本文基于动态线性模型利用衰减记忆的Kalman滤波的方法对PRI的估计加以讨论，该方法充分考虑了各种误差噪声，在一定程度上克服了抖动的影响，是PRI分选领域一个全新的思路。
Pulse repetition interval (PRI) of radar signal is a vital parameter. It determines maximal discriminable distance and radial speed of radar. In this article, we make use of damping memorial Kalman filter based on dynamic linear model to distinguish jittery Pulse Repetition Intervals (PRI) of radar signal. The method of damping memorial Kalman Filter is estimation and recognition based on transcendental information of Pulse Repetition Intervals (PRI). This method considers all kinds of error and noise. It overcomes wobble in some extent and offers a bran-new method in Estimation and Recognition of PRI.
高小平、雍元红
雷达电子对抗通信
脉冲重复间隔，PRI抖动，衰减记忆，Kalman滤波
PRI，signal sorting，jittery PRI，damping memory
高小平,雍元红.基于改进的Kalman滤波的雷达信号PRI估计[EB/OL].(2007-09-18)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/200709-346.点此复制
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