起降引导系统进行岸基标校时, 由于甲板变形, 布设在甲板上用于进行目标定位的激光测距机位置无法精确获得, 存在位置误差, 会严重影响目标定位性能。针对这个问题, 提出了一种混合定位算法, 该算法将非线性方程线性化, 得到最小二乘解, 然后综合考虑测距机位置误差和测距误差, 将误差分量分离后利用加权最小二乘法得到目标位置次优解, 以此次优解作为泰勒级数展开法的迭代初值, 进行迭代运算, 最终得到定位结果。将该混合算法与约束总体最小二乘法及CHAN算法进行仿真对比, 结果表明, 该算法可靠性更高, 定位精度在较高噪声的条件下仍能接近CRLB。

When the warship is in the shore-based calibration process, the position of the laser rangefinder laid on the deck for targeting may not be accurately obtained due to the deformation of the deck, and position errors existed may seriously affect targeting accuracy.To solve this problem, a hybrid location algorithm is proposed.Firstly, the linearization is made to the nonlinear equation, and the least square solution is obtained.Then considering the position error together with the ranging error of the range finders, the suboptimal solution of the target position is obtained by using the weighted least square method.The suboptimal solution is taken as the initial value of Taylor series expansion method for iteration, and the final location can be obtained.The simulation result showed that:Compared with Constrained Total Least Squares(CTLS)algorithm and CHAN algorithm, the proposed algorithm is more reliable, and has an accuracy relatively close to CRLB even under high noise condition.