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Performance analysis of sequential filter based on unbiased converted measurements with doppler

机译:基于多普勒无偏转换测量的顺序滤波器性能分析

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The Doppler measurements can be used to improve tracking accuracy efficiently. Based on unbiased converted measurements, the statistical character of the correlated range and pseudo range rate measurement errors is deduced and a sequential filtering algorithm with Doppler is progressed. The performance such as tracking accuracy, evaluation consistency and calculation complexity is studied comparing with the traditional extended Kalman filter with Doppler. The simulation results show that the new algorithm can accommodate longer distance and bigger measurement error situation, and has higher level of accuracy, faster convergence and more reliability.
机译:多普勒测量可以用来有效地提高跟踪精度。基于无偏转换后的测量结果,推导了相关距离和伪距率测量误差的统计特性,并提出了一种基于多普勒的顺序滤波算法。与传统的扩展多普勒扩展卡尔曼滤波器相比,研究了跟踪精度,评估一致性和计算复杂度等性能。仿真结果表明,该算法可以适应更长的距离和更大的测量误差情况,具有更高的准确度,更快的收敛速度和更高的可靠性。

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