摘要
在WGS-84坐标系下实现机载单站对固定辐射源高精度无源定位有着重要的应用价值。提出WGS-84坐标系下机载单站相位差变化率/多普勒变化率(PDR/DFR)无源定位滤波算法。首先导出PDR/DFR相对定位公式,经坐标变换实现单次观测的绝对定位;分别采用一阶Taylor近似分析法和不敏变换(unscented transformation,UT)推导滤波中需要的转换量测及其协方差,实现多帧量测滤波,进一步提高定位精度,且后者克服了前者不能对非线性转换量测进行偏差补偿以及协方差一致性较差的不足。仿真结果表明,该方法能实现三维高精度的无源定位,有望用于工程实际。
For an important application value to high-precise passive location for stationary emitter by single airborne platform in world geodetic system-84 （WGS-84） , the filtering algorithms of passive location base on phase difference rate of changing and Doppler frequency rate of changing （PDR/DFR） by single airborne platform in WGS-84 are proposed. Relative positioning formula base on PDR/DFR is derived firstly, and then absolute positioning is realized through coordinate transformation; Employing first-order Taylor approximation and unscented transformation （UT） respectively, converted measurements and their covariance are derived which are required for filtering multi-frame measurements in order to improve the positioning accuracy, and the latter overcomes the former＇ s weaknesses that the bias compensation cannot be realized for nonlinear transformation and covariance is less consistent. Simulation results indicate that the presion of three-dimensional passive location is high, and it is expected to be used in engineering practice.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2014年第1期31-37,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61102168)资助课题
关键词
无源定位
机载单站
转换量测Kalman滤波
相位差变化率
多普勒变化率
passive location
single airborne platform
converted measurement Kalman filtering（CMKF） phase difference rate of changing（PDR）
doppler frequency rate of changing（DFR）
