使用单校正源的多站时频差定位算法

Passive Source Localization Algorithm of Using Multiple Receivers from TDOA and FDOA Measurements with a Calibration Emitter

在多站无源时频差定位系统中,为了减少观测站站址误差对定位精度的不良影响,首先使用单校正源对含有测量误差的观测站位置和速度进行了校正,然后将校正值代入到关于目标的观测方程组,推导了包含站址误差统计特性的最小二乘加权矩阵,对目标的位置和速度进行了估计。仿真验证了当站址误差较小时,目标位置和速度的估计值在各站误差方差相同和不同的场景下均能达到克拉美罗下界。

In passive source localization system using multiple receivers from TDOA and FDOA measurements,receiver position and velocity errors are known to degrade the localization performance greatly. To solve this problem,the measurements of receiver positions and velocities need to be calibrated firstly. Then,the improved receiver parameters will be used into the observation equation of the target. The weighted least square weighting matrix which includes the statistical character of the receiver errors will be calculated and the target position and velocity can be estimated. When the receiver errors are moderate,simulations demonstrate that the localization accuracy is able to attain CRLB in the scenario that the noise powers in the receivers are equal or unequal.