基于距离量测提出了多自主水下航行器(AUV)移动长基线定位系统,融合内部与外部传感信息进行从AUV水下定位。针对定位系统中AUV队形对定位性能造成的影响,基于Cramer—Rao下界(CRLB)和Fisher信息阵(FIM)建立了多AUV移动长基线定位系统定位性能评价函数,通过评价函数极大化实现定位性能最优化。重点研究了双领航者定位系统的最优队形,其最优队形为两个领航AUV与从AUV以90°分离角相对运动,且最优队形与AUV间的距离无关。仿真实验分别从间距及分离角两个方面对结论进行了验证。
A cooperative localization method for multiple autonomous underwater vehicles (AUV) based on moving long baseline (MLBL) and range observation was presented, the internal and external informa- tion was fused to locate the follower. Considered the influence of AUV formation on the localization per- formance, an evaluation criterion based on Cramer-Rao lower bound (CRLB) and Fisher information ma- trix (FIM) was developed to derive the optimal formation configuration. The optimal formation of cooper- ative localization with two leaders was studied, and the optimal formation with the separation angle of 90° between the leaders and follower was found out. Simulations were performed to evaluate the conclusions from two aspects of range and separation angle, respectively.