【摘要】 由于目标信号的发射时间未知,无源定位技术大多利用TDOA(到达时间差)进行目标定位.本文将求解GPS单点定位的Bancroft算法应用于TOA(到达时间)多点定位方程的求解,提出了基于Bancroft算法的无源多点定位TOA-LS(最小二乘)估计算法.TOA-LS包含三个线性方程,其加权系数与目标位置和目标信号发射时间相关.采用Ban-croft算法给出初始值并求解TOA-LS方程,完成加权系数的迭代更新.仿真结果表明对不同几何位置的目标,TOA-LS估计可获得接近理论方差下界的近似最优的性能.更多还原

【Abstract】 The traditional location methods for passive localization are TDOA(Time Difference of Arrival) based due to the unknown TOE(Time Of Emission).Based on Bancroft’s algorithm,which was developed for GPS single-point position,the TOA least squares(TOA-LS) estimation algorithm for passive multilateration is proposed.The TOA-LS equations are composed of three linear equations whose coefficients are dependent on the target position and TOE.Using Bancroft’s algorithm with some initial values,the TOA-LS algorithm solves the linear equations for new solutions and updates their coefficients.Simulation experiments demonstrate that the TOA-LS algorithm is near optimal and attaining the theoretical lower bound for targets in different geometric positions.更多还原