基于SINGER模型的实时误差配准算法及分析  

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

作　　者：李洋[1] 张靖[1] 

机构地区：[1]中国电子科学研究院,北京100041

出　　处：《系统工程与电子技术》2015年第6期1255-1258,共4页Systems Engineering and Electronics

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。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 muhi-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.

关 键 词：误差配准 SINGER运动模型 扩维卡尔曼滤波 航迹关联 

分 类 号：TN953[电子电信—信号与信息处理]