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组网雷达系统误差合作校准方法 被引量:6

Research on Cooperative System Error Registration for Networked Radars
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摘要 在最小二乘ECEF法雷达系统误差配准的基础上,给出了广义最小二乘ECEF法的计算过程。结合实际使用时长期公共目标选择的难题,提出了多目标GLS法来估计雷达的系统误差,能充分利用监视空域内的短期公共目标。通过仿真,验证了多目标GLS法在减少计算量的同时,能保证算法的有效性。利用目标优选和数据融合的方法构造的合作校准法,把组网雷达两两配准的结果进行融合,进一步提高了估计精度。仿真结果显示,在提高径向误差估计精度的同时,合作校准法能大幅度提高角度误差估计的精度。 Based on least square ECEF method for registration of radar system error, the procedure of general least square(GLS) ECEF method is introduced. To encounter the difficulty in selection of long-time-tracing public target,this GLS method is extended to multi-targets field,which can fully use short-time-tracing public targets in surveillance space. Through simulation, the multi-target GLS method can not only reduce calculation time, but also guarantee the effectiveness of estimation. The cooperative method, which uses optimal target selection and data fusion techniques,fuses the mutual registration results by convex combination to get more precise result. Showing by simulation, with improved precision of system radian error estimation, cooperative method can greatly improve the precision of system angle error estimation.
出处 《探测与控制学报》 CSCD 北大核心 2008年第B10期63-68,共6页 Journal of Detection & Control
关键词 配准 系统误差 广义最小二乘 数据融合 registration system error GLS data fusion
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参考文献8

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共引文献7

同被引文献57

  • 1于选桐,刘唐兴,王号,沈海平.组网雷达分布式误差估计方法[J].信息化研究,2020(4):21-24. 被引量:3
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