摘要
针对多水下自治机器人(UUV)协同定位模型中的非线性问题,论文提出利用容积卡尔曼滤波(CKF)方法对协同定位状态空间模型进行最优状态估计,通过仿真试验,证明了该方法的可行性。
Aiming at the non-liner problem of the cooperation localization model of MUUVs,the paper proposed a cubature Kalman filter method to get the optimization eatate estimation of cooperation localization,the theoretical analysis and experimental results proved the high accuracy and availability of the proposed method.
引文
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