系统工程与电子技术

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基于SINGER模型的实时误差配准算法及分析

李洋, 张靖   

  1. 中国电子科学研究院, 北京 100041
  • 出版日期:2015-05-25 发布日期:2010-01-03

Real-time error registration algorithm and analysis#br# based on the SINGER model

LI Yang, ZHANG Jing   

  1. China Academy of Electronics and Information Technology, Beijing 100041, China
  • Online:2015-05-25 Published:2010-01-03

摘要:

系统误差配准是多平台、多传感器目标跟踪的关键环节,可以有效地估计雷达跟踪系统误差,并进行准确误差补偿。若不进行精确的系统误差配准,则可能导致多平台、多传感器跟踪系统对目标融合跟踪的错误或对同一目标产生多条航迹,从而导致系统性能恶化。给出了基于目标SINGER运动模型的扩维卡尔曼滤波算法。通过仿真实验分析了误差配准精度与机动频率的关系,结论为针对不同机动频率目标进行雷达跟踪系统的误差配准提供理论参考。

Abstract:

System error registration plays a key role in the target track with multi-platform multi-sensor, which can estimate and compensate the system error of radar track. If without the accurate system error registration, the target track with multi-platform multi-sensor might generate an error or multi-tracks and cause the system track performance deterioration. An augmented Kalman filter is proposed to compensate the system error based on the target SINGER model, while the relation between the error registration accuracy and maneuvering frequency is also discussed by a simulated experience which provides a helpful theory for the system error registration in the target track with different maneuvering frequencies.