多传感器系统误差特性匹配的动态估计与补偿算法

针对非合作目标场景下多传感器系统误差估计的工程应用问题，提出了一种面向工程应用的多传感器相对系统误差动态估计与适配性处理算法(μ-DECA)，提高了多传感器融合系统的精度和稳定性。建立了系统误差实时估计模型，设计了一种多传感器相对系统误差动态迭代估计与补偿算法，使得各传感器原始点迹和融合航迹的误差特性趋于一致，克服了多传感器系统点航迹关联的困难，保证了相对系统误差估计与补偿的正确性。通过不同设备多个场景的实测数据，验证了该方法能够补偿环境等因素对传感器系统误差的影响，提高了多传感器融合的精度和稳定性，改善了多传感器融合系统输出点迹的质量。

A Dynamic Estimation and Compensation Algorithm for Matching the Error Characteristics of Multi-Sensor System

In this paper, a dynamic estimation and compensation algorithm for matching the error characteristics of multi-sensor system is proposed to solve the engineering application problem of the multi-sensor system error estimation in the non-cooperative target scenario. A real-time estimation model of system errors is established and a dynamic iterative estimation and compensation algorithm is designed, which makes the error characteristics of the original plot and the fusion track to be consistent, overcomes the difficulty of plot-track association in the multi-sensor system, and ensures the correctness of relative system error estimation and compensation. The measured data from multiple scenes of different devices show that this method can improve the accuracy and stability of multi-sensor fusion system, so as to improve the plot quality of multi-sensor fusion system.