基于极坐标多普勒伪状态的最佳线性无偏估计算法
发布时间：2019-01-11 10:35
【摘要】：理论和实践已经证明,除位置量测外,包含目标速度信息的多普勒量测具有有效提高目标状态的估计精度的潜力。基于目标匀速运动场景在直角坐标系下提出了一种可使用多普勒伪量测(即距离量测与多普勒量测的乘积)和多普勒伪状态的跟踪算法。从理论上讲,它是在最佳线性无偏估计准则下的近似最优线性无偏滤波器,并且避免了量测转换方法的根本缺陷。通过与目前几种流行的方法进行仿真比较,验证了新算法的优越性和可靠性。
[Abstract]:It has been proved theoretically and practically that the Doppler measurement which contains velocity information of the target has the potential to improve the estimation accuracy of the target state effectively except for the position measurement. In this paper, a tracking algorithm of Doppler pseudo measurement (that is, the product of range measurement and Doppler measurement) and Doppler pseudo state is proposed in the right angle coordinate system based on the uniform moving scene of the target. Theoretically, it is an approximate optimal linear unbiased filter under the optimal linear unbiased estimation criterion, and avoids the fundamental defect of the measurement conversion method. The superiority and reliability of the new algorithm are verified by simulation and comparison with several popular methods.
【作者单位】： 海军工程大学理学院;
【分类号】：TN953;TN713
[Abstract]:It has been proved theoretically and practically that the Doppler measurement which contains velocity information of the target has the potential to improve the estimation accuracy of the target state effectively except for the position measurement. In this paper, a tracking algorithm of Doppler pseudo measurement (that is, the product of range measurement and Doppler measurement) and Doppler pseudo state is proposed in the right angle coordinate system based on the uniform moving scene of the target. Theoretically, it is an approximate optimal linear unbiased filter under the optimal linear unbiased estimation criterion, and avoids the fundamental defect of the measurement conversion method. The superiority and reliability of the new algorithm are verified by simulation and comparison with several popular methods.
【作者单位】： 海军工程大学理学院;
【分类号】：TN953;TN713
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