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Long baseline navigation with explicit pseudo-range clock offset and propagation speed estimation

机译:带有明确伪距时钟偏移和传播速度估计的长基线导航

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This paper proposes a novel one-way-travel-time (OWTT) long baseline (LBL) navigation concept that departs from previous approaches in that: (i) the clock of the receiver in the vehicle needs not to be synchronized with the clocks of the emitters: and (ii) the speed of propagation of the signals is assumed unknown. The nonlinear system dynamics are considered in a continuous-discrete time framework, taking advantage of the pseudo-range measurements obtained at low update rates and the data from other sensors obtained at high rates. An augmented system is proposed whose observability is analyzed and that is shown to be equivalent to the original nonlinear system under appropriate conditions. A Kalman filter provides the estimation solution, with globally exponentially stable error dynamics, in spite of the original nonlinear nature of the system dynamics. The performance of the proposed solution is evaluated with numerical simulations resorting to Monte Carlo runs. The comparison with the extended Kalman filter and the Bayesian Cramer-Rao bound are also included. (C) 2018 European Control Association. Published by Elsevier Ltd. All rights reserved.
机译:本文提出了一种新颖的单程行进时间(OWTT)长基线(LBL)导航概念,该概念与以前的方法不同,它是:(i)车辆中接收器的时钟不需要与接收器的时钟同步。发射器;以及(ii)信号传播的速度被假定为未知。非线性系统动力学是在连续离散时间框架内考虑的,它利用了以低更新速率获得的伪距测量值和以高速率获得的来自其他传感器的数据。提出了一种增强系统,其可观性得到了分析,并在适当条件下被证明与原始非线性系统等效。尽管系统动力学最初具有非线性性质,但卡尔曼滤波器仍可提供具有全局指数稳定误差动态的估计解决方案。提出的解决方案的性能通过蒙特卡洛试验的数值模拟进行评估。还包括与扩展卡尔曼滤波器和贝叶斯Cramer-Rao界的比较。 (C)2018欧洲控制协会。由Elsevier Ltd.出版。保留所有权利。

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