摘要
针对对流层散射多径效应带来的噪声干扰问题,提出基于增广参数卡尔曼滤波的多径噪声抑制方法。该方法基于Sunde散射信道模型假设,利用最大多径时延差来描述对流层散射信道的时散特性,建立了对流层散射多径时延数学模型;将系统误差作为状态参数增广状态向量,并利用一阶AR函数模型来补偿滤波,从而抑制滤波估计中系统性误差,提高卡尔曼滤波的精度和可靠性。仿真和计算结果表明,滤波后的钟差稳定性提高了两个数量级、精度提高了约50%,验证了该方法良好的多径抑制效果。
Aiming at the problem of noise interference caused by stratospheric multipath effect,a multipath noise suppression method based on augmented parameter Kalman filter was proposed.Base on the assumption of Sunde scattering channel model,this method used the maximum multipath delay difference to describe the dispersion characteristics of the tropospheric scatter channel and establishes a mathematic model of tropospheric scattering multipath delay.The system error was used as the state parameter to augment the state vector.The first-order AR function model compensated for the filtering,thereby suppressing systematic errors in filtering estimation and improving the accuracy and reliability of Kalman filtering.Tropospheric scattering experiments showed that the stability of the filtered clock error was improved by about 50%,which proved the good multi-suppression effect of this method.
作者
吴文溢
熊益波
王雷元
李艳洁
陈西宏
WU Wenyi;XIONG Yibo;WANG Leiyuan;LI Yanjie;CHEN Xihong(Institute of Northwest Nuclear Technology,Xi'an 710024,China;Air and Missile Defence College,Air Force Engineering University,Xi'an 710051,China)
出处
《探测与控制学报》
CSCD
北大核心
2018年第5期87-93,共7页
Journal of Detection & Control
基金
国家自然科学基金项目资助(61701525)
关键词
对流层散射
多径效应
卡尔曼滤波
系统误差
一阶AR模型
tropospheric scatter
multipath effect
Kalman filter
systematic error
AR model of first class
