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一、前言自适应信号处理是信号处理领域中最活跃的分支之一。首先由Widrow提出LMS自适应滤波算法。本文采用了资料所提出的自适应差值预测器算法公式。该组公式根据资料Widrow的经典算法公式,对权系数进行简化、近似,并将现时的e(n)和x(n)值降低一阶,改为e(n-1)和x(n-1)。这是一种新的算法。本文用此算法预测了三公分捷变频雷达的射频。本文具体叙述了实现这种预测的算法和框图,通过计算机模拟,讨论了当调制器重频摆动幅度、重复频率、初始相角等参量变化时对预测误差的影响。计算结果表明,当上述各参量值变化时,用二阶自适应差值预测器预测三公分捷变频雷达射频,其均方根误差均不大于0.1％。
I. Introduction Adaptive signal processing is one of the most active branches in the field of signal processing. First proposed by Widrow LMS adaptive filtering algorithm. In this paper, the data presented by the adaptive difference predictor algorithm formula. According to Widrow’s classic algorithm formula, this set of formulas simplifies and approximates the weight coefficients, and reduces the current e (n) and x (n) values by first order to e (n-1) and x 1). This is a new algorithm. This algorithm uses this algorithm to predict the radio frequency of three-point agility frequency radar. This paper describes in detail the algorithm and block diagram for realizing this prediction. By computer simulation, the influence on the prediction error when the parameters such as the modulation amplitude, repetition frequency and initial phase angle are discussed is discussed. The calculation results show that when the above parameters vary, the second-order adaptive difference predictor predicts the radio frequency of the three-centimeter variable frequency radar, and the root-mean-square error is not more than 0.1%.