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A New Relative Navigation and Localization Algorithm Based on the Nearest Neighbor

机译:一种基于最近邻的相对导航定位新算法

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摘要

Aimed at the deficiency of TDOA localization algorithm in the relative navigation and the cooperative localization algorithm based on the nearest neighbor localization model, a new relative navigation and localization algorithm based on the nearest neighbor is proposed and designed. The cooperative localization algorithm is studied and improved, which is applied to relative navigation. And the pseudo-measurement, radar bearing angle and covariance matrix formula is deduced renewedly. The algorithm deals with the pseudo-measurement by similar ratio and nearest neighbor rule and avoid the problem such as multi-answer and linearization which are caused by the nonlinear equation. Simulations results show it has better localization and convergence effect, higher stability which is used to relative localization and tracking steadily. Moreover, it is easily practiced in the project.
机译:针对TDOA定位算法在相对导航中的不足以及基于最近邻定位模型的协同定位算法的不足,提出并设计了一种新的基于最近邻的相对导航定位算法。对协同定位算法进行了研究和改进,并将其应用于相对导航。并推导了伪测量,雷达方位角和协方差矩阵公式。该算法通过相似的比率和最近邻规则处理伪测量,避免了非线性方程引起的多重回答和线性化等问题。仿真结果表明,该算法具有较好的定位和收敛效果,具有较高的稳定性,可用于相对定位和稳定跟踪。而且,在项目中很容易实践。

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