摘要
利用组网雷达测量的色噪声数据融合处理出飞行目标坐标与速度,并估计出各雷达测量误差的有关参数。先根据雷达测量原理建立跟踪数据的色噪声误差模型,利用多雷达观测的色噪声数据序列初步估计目标的坐标与速度初值,再利用Hermite插值法估计目标坐标与雷达测量坐标的偏差,不断改进Hermite插值多项式的系数以及误差模型中色噪声修正系数,提高了目标坐标速度等参数的处理精度。仿真数据实验表明该计算方法稳定可靠,定位精度较高,可以发挥Hermite插值法在色噪声测量数据融合处理中的作用。
The fusion method for netted radar colored noise data is proposed in the paper, by which the coordination of the flying tar- get and the error parameters of the radars are estimated. The model of radar measurement error is given, and the target positions can be estimated by using the Hermite polynomials interpolation through the radar data. Compared the difference between the esti- mation of the target positions and radar measurement, the coefficients of the Hermite polynomials and radar measuring errors can be regulated. So the precision of the target trajectory is improved. The data simulation results show that the target trajectory can be de- termined by the fusion scheme efficiently.
出处
《现代雷达》
CSCD
北大核心
2012年第6期41-44,共4页
Modern Radar
关键词
组网雷达
数据融合
色噪声
HERMITE插值
定轨
netted radar
data fusion
colored noise
Hermite interpolation
trajectory determination