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鉴于定位站位置误差会极大地降低多站无源定位的目标定位精度,提出了一种标校源辅助的不相交多目标时差闭式定位算法。算法首先使用标校源减小定位站位置误差,并估计对应的误差统计特性,然后使用更新的定位站位置,利用两步加权最小二乘(TS-WLS)算法实现不相交多目标的高精度时差定位。通过克拉美罗界(CRLB)推导,理论上分析了该闭式定位算法的定位性能;通过仿真实验,验证了标校源校正技术可提高对多目标的定位精度,并且在较小的时差观测误差和定位站位置误差下,对多目标的定位性能可以达到CRLB。该算法不需要初始值估计和迭代运算,同时避免了定位站和目标位置的联合估计,计算量较小。
In view of the positioning error of positioning station will greatly reduce the target positioning accuracy of multi-station passive positioning, a calibration-source-aided disjoint multi-target closed-loop positioning algorithm is proposed. The algorithm first uses the standard calibration source to reduce the position error of the positioning station and estimate the corresponding error statistics. Then, using the updated position of the positioning station, the two-step weighted least squares (TS-WLS) algorithm is used to achieve high accuracy of disjoint multi-targets Time difference positioning. By the CRLB derivation, the localization performance of the closed positioning algorithm is theoretically analyzed. The simulation results show that the calibration source calibration technology can improve the accuracy of multi-target positioning, and the smaller the time difference Error and positioning station position error, the multi-target positioning performance can reach CRLB. The algorithm does not need initial value estimation and iterative computation, and avoids the joint estimation of positioning station and target position, and the computation is small.