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JOINT STATE AND MEASUREMENT TIME-DELAY ESTIMATION OF NONLINEARSTATE SPACE SYSTEMS

机译:非线性空间系统的联合状态和测量时延估计

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摘要

Sensor fusion algorithms often assume perfect time synchronization of the sensor clocks. In a practical sensor-actuator setup this is often difficult to achieve which in turn can give rise to systematic errors in the sensor fusion. In this article we suggest how the effect of the synchronization error from an unknown static or slowly varying measurement time-delays in a nonlinear state space system can be handled by linearizing the measurement equation in time. Based on the linearization an augmented system is constructed from which the system states and the delays can be jointly estimated. Expressions for the system, measurement, and covariance matrices of the augmented system are derived. Finally, the feasibility of the suggested approach is demonstrated by an example and a Monte-Carlo simulation.
机译:传感器融合算法通常假定传感器时钟具有完美的时间同步。在实际的传感器-执行器设置中,这通常很难实现,而这又会导致传感器融合中的系统错误。在本文中,我们建议如何通过线性化测量方程来处理非线性状态空间系统中未知静态或缓慢变化的测量时延带来的同步误差的影响。基于线性化,构造了扩充系统,从该系统可以联合估计系统状态和延迟。得出系统的表达式,增强系统的度量和协方差矩阵。最后,通过一个例子和蒙特卡洛仿真证明了该方法的可行性。

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