基于数据驱动的雷达系统误差估计方法
A Data-Driven Systematic Error Estimation Method for Radar Systems
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摘要: 针对实际情况中多雷达系统误差校准效果不理想的问题, 提出了一种基于数据驱动的雷达系统误差估计方法. 首先采用数值模型对雷达探测区域进行网格剖分, 在网格上建立误差分布函数, 然后采用方差迭代计算方法对每个网格进行参数估计. 所提方法克服了雷达系统误差模型复杂、难于建立的困难, 采用数值方法得到系统误差的区域分布. 实验结果表明, 在有船舶自动识别系统等高精度信源情况下, 所提方法具有较高的系统误差估计精度, 且计算量小、工程实施方便.Abstract: A data-driven systematic error estimation method for radar system is proposed to solve the problem of poor systematic error correction e ect in complex physical environment. A numerical model is used to divide the radar detection area into grids. After the error distribution function is established on the grid, the variance iterative calculation is used to estimate the parameters of error distribution function on each grid. The proposed method overcomes the diculty of establishing the radar systematic error model with complex parameters and obtains the distribution function of the systematic error by numerical method. The simulation results show that the proposed method has a better accuracy of systematic error estimation with a small calculation and simple engineering implementation, when there are automatic identification system (AIS) and other high precision information sources.
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