一种基于改进卡尔曼滤波的无人机信道估计算法

An Improved UAV Channel Estimation Algorithm Based on Kalman Filter

主要研究用于无人机下行高速数据链路的信道估计算法,构建了包括正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)传输系统和无人机常用场景信道冲激响应模型的无人机通信系统。针对无人机通信系统快时变的信道特性,提出了一种基于改进卡尔曼滤波器的信道估计算法。仿真结果表明,该算法可以提高无人机信号估计精度,有效抵抗噪声干扰,并在计算量上有了一定的优化,提高了运行速度。

This paper mainly studies the channel estimation algorithm for the high-speed data downlink of unmanned aerial vehicles(UAV),and constructs a UAV communication system including an Orthogonal Frequency Division Multiplexing(OFDM) transmission system and a UAV common scene channel model.Aiming at the fast time-varying channel characteristics of the UAV communication system,an improved Kalman filter algorithm is proposed.Simulation results show that the improved Kalman filter algorithm can improve the estimated accuracy of the UAV signal,resist the noise interference effectively,and improve the computational complexity and the running speed of the algorithm.