塔康高精度测角及抗野值研究

针对传统塔康测角精度不高?抗干扰能力弱的问题,设计了一种新的抗野值Kalman滤波器,并与最小二乘曲线拟合相结合,实现对塔康方位的精确解算?建立了抗野值Kalman滤波模型,引入压缩影响函数修正滤波增益,推导出判决门限表达式,证明压缩影响函数的正确性?仿真结果表明,该算法实现了对塔康测角的高精度解算,并能有效抑制野值,具有很高的精度和抗干扰能力?

Accurate angle measuring and outliers restraining of TACAN

To solve the problem of low precision and weak anti-jamming performance of traditional TACAN on angle measurement,a new anti-outlier Kalman filter combined with least-squares curve fitting is proposed to acquire more accurate angle information.Firstly,building anti-outlier model,then introducing an compression influence function to modify the gains and deriving the judgment threshold,the correctness of the compression influence function can be proved.The simulation results prove that the method has better performance on angle calculation and outlier resistant,and can increase the accuracy of the target tracking system and anti-jamming performance.