首页|基于质点滤波的重力异常差分全线匹配算法

基于质点滤波的重力异常差分全线匹配算法

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由于水下航行器特定任务限制以及长航时、隐蔽性的导航定位需求,某些特定场景中未有先决条件可供运载体实现适配区域内的位置校正.为实现水下全线导航定位,提出了一种基于质点滤波的重力异常差分全线匹配算法.提取重力异常特征参数,并使用综合特征熵权法对重力场背景图进行适配性分析,有效选取重力适配区域,为全线重力匹配算法的实施提供先验背景区域支撑.根据重力测量圆概率误差约束,对重力异常值进行重力异常差分,确定重力匹配采样频率.充分挖掘大背景场下的重力异常信息,在重力异常变化不明显的区域内实现自适应频率滤波.采用最小二乘优化参数的全仿射变换对匹配轨迹进行平滑,保证匹配定位的精度和稳定性.仿真实验结果表明,所提算法可有效控制匹配定位精度在半个格网内,满足水下运载体全线重力匹配的导航定位需求.
Research on Gravity Anomaly Difference Entire Course Matching Method Based on Particle Filter Algorithm
Due to the specific task limitations of underwater vehicles and the need for long endurance and covert nav-igation positioning,there are no prerequisites for the carrier to achieve position correction within the matching area in cer-tain specific scenarios.To achieve entire course navigation positioning,a gradient difference entire course matching method based on particle mass filter algorithm is proposed.Extract the gravity anomaly characteristic parameters and adopt the com-prehensive feature entropy weight method to select the matching area,effectively providing prior navigation area support for the implementation of the entire course gravity matching algorithm.According to gravity measurement circle probability error constraint,gradient difference is applied to gravity anomaly values to determine the sampling frequency of matching meth-od.Fully explore the gravity anomaly information in the large background field and achieve adaptive frequency filtering in areas where gravity anomaly changes are not significant.The fully affine transformation using least squares optimization pa-rameters is used to smooth the matching trajectory,ensuring the accuracy and stability of matching localization.The simula-tion experiment results show that the proposed algorithm can effectively control the matching positioning accuracy within half a grid,which can meet the navigation and positioning requirements of entire course gravity matching for underwater vehi-cles.

matching methodparticle filtergravity anomaly differenceintegrated matching

王博、马子玄

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北京理工大学,北京 100081

航天工程大学,北京 101416

匹配算法 质点滤波 重力异常差分 联合匹配

2024

导航与控制
北京航天控制仪器研究所

导航与控制

CSTPCD
影响因子:0.133
ISSN:1674-5558
年,卷(期):2024.23(5)