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High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises

机译：具有相关噪声的多传感器信息融合的高度古巴联合滤波器

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摘要

This paper proposes an improved high degree cubature federated filter for the nonlinear fusion system with cross-correlation between process and measurement noises at the same time using the fifth-degree cubature rule and the decorrelated principle in its local filters. The master filter of the federated filter adopts the no-reset mode to fuse local estimates of local filters to generate a global estimate according to the scalar weighted rule. The air-traffic maneuvering target tracking simulations are performed between the proposed filter and the fifth-degree cubature federated filter. Simulations results demonstrate that the proposed filter not only can achieve almost the same accuracy as the fifth-degree cubature federated filter with independent white noises, but also has superior performance to the fifth-degree cubature federated filter while the noises are cross-correlated at the same time.
机译：本文提出了一种改进的用于非线性融合系统的高温孵化器联合滤波器，该滤波器同时使用五度孵化器规则和其局部滤波器中的去相关原理，同时具有过程噪声和测量噪声之间的互相关性。联邦过滤器的主过滤器采用无复位模式，将局部过滤器的局部估计值融合在一起，以根据标量加权规则生成全局估计值。在拟议的过滤器和五度容积联合过滤器之间进行了空中机动目标跟踪模拟。仿真结果表明，所提出的滤波器不仅可以达到与具有独立白噪声的第五级联合联邦滤波器几乎相同的精度，而且在噪声相互关联的情况下具有优于第五级联合联邦滤波器的性能。同时。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第9期|5252487.1-5252487.7|共7页
  • 作者

    Wang Lijun; Wang Sisi;

  • 作者单位

    Guangdong Ocean Univ, Sch Nav, 40 Jiefangdong Rd, Zhanjiang 524025, Peoples R China;

    Guangdong Ocean Univ, Sch Nav, 40 Jiefangdong Rd, Zhanjiang 524025, Peoples R China;

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