基于最优模型选择的多信标长基线定位系统误差辨识方法

Systematic Error Identification Method of Multi-beacon Long Baseline Positioning Based on Optimal Model Selection

为辨识多信标长基线定位系统误差,及提高定位精度,针对目标安装多个信标且目标体积不可忽略的情况,构建了多信标体制的长基线水下定位模型。进一步针对测元系统误差中包含的声速误差、时延误差,在多信标体制定位模型的基础上,构建了多类系统误差辨识模型,并结合水下目标定位过程,计算时延残差,构建模型最优检验统计量,给出了系统误差模型的最优选择准则,实现水下目标位置参数和系统误差参数的有效估计。仿真结果表明,该模型最优选择准则可以有效选择合适的系统误差辨识模型,提高长基线水下目标的定位精度。提出的基于最优模型选择的多信标长基线定位系统误差辨识方法可为水下目标定位试验提供理论支撑和有效参考。

In order to identify the systematic error of multi-beacon long baseline(LBL)positioning and improve the positioning accuracy,an underwater positioning model of multi-beacon LBL system was constructed aiming at the situation that the target is installed with multiple beacons and the target size cannot be ignored.Further,aiming at the sound speed error and the time of arrival(TOA)error existing in the acoustic measurement data systematic error,based on the multi-beacon LBL system positioning model,several systematic error identification models were constructed.According the underwater target positioning process,the TOA residual was analyzed,and the optimal test statistic of the systematic error identification model was derived,and the optimal selection criterion of the systematic error identification model was given to realize the effective estimation of underwater target position parameters and systematic error.The simulation results show that the optimal model selection criterion can effectively select the appropriate systematic error identification model,and then improve the accuracy of LBL system for positioning the underwater target.Therefore,the systematic error identification method of multi-beacon LBL positioning system based on optimal model selection proposed can provide theoretical support and valuable reference for the underwater target positioning test.