基于卡尔曼滤波的TACAN基带脉冲信号处理

TACAN Baseband Pulse Signal Processing Based on Kalman Filter

在现代TACAN机载设备中广泛使用数字中频的设计理念,而卡尔曼滤波理论作为目前工程中最成熟、应用最广的控制、预测理论,可将两者结合实现对TACAN基带脉冲信号的滤波,达到提高测量精度的最终目的。从实际工程应用出发,通过对脉冲包络数学模型推导,构建离散卡尔曼滤波状态空间方程,用Matlab仿真卡尔曼滤波的预测、校正过程,完成设计算法验证,提高基带信噪比。

The design concept of digital intermediate frequency is widely used in modern TACAN air borne equipment,and Kalman filter theory,as the most mature and widely used control and prediction theory in current engineering,can be combined to achieve the filtering of TACAN baseband pulse signal,to improve the ultimate goal of measurement accuracy.Starting from the practical engineering application,through the derivation of the pulse envelope mathematical model,the construction of discrete Kalman filter state space equation,using Matlab simulation of Kalman filter prediction,update process,complete the design algorithm verification,improve baseband SNR.