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针对现有异步空间配准算法在目标机动时无法准确估计传感器系统误差的问题,研究了一种基于内插外推时间配准的异步传感器空间配准算法.该算法首先采用内插外推时间配准算法实现两传感器的数据同步,随后根据时间配准结果构建伪量测方程.不同于其他文献根据目标状态向量和时间差求解加权系数,从而构造与目标运动状态无关的伪量测方程的方法,该算法的伪量测方程构建过程与目标状态向量无关,且可以证明由时间配准结果构造的伪量测也与目标状态无关.因此该算法可有效解决目标机动条件下的异步传感器空间配准问题.仿真实验验证了该算法在目标作蛇形机动的条件下仍然可准确地对传感器的系统误差进行估计.
Aiming at the problem that the existing asynchronous space registration algorithm can not accurately estimate the sensor system error when the target is maneuvering, an asynchronous sensor space registration algorithm based on interpolation extrapolation time registration is studied. The algorithm first uses interpolation extrapolation time Registration algorithm to realize the data synchronization of the two sensors and then to construct the pseudo-measurement equation according to the time registration result.Compared with other documents, the method of constructing the pseudo-measurement equation unrelated to the target motion state is obtained by solving the weighting coefficient according to the target state vector and the time difference , The construction process of the pseudo-metric equation has nothing to do with the target state vector, and it can be proved that the pseudo-measurement constructed by the time registration result has nothing to do with the target state, so the algorithm can effectively solve the asynchronous sensor space allocation The quasi-problem is verified by simulation experiments.The algorithm can still accurately estimate the systematic errors of the sensor under the condition of the serpentine maneuver of the target.