基于惯导及原始数据的多普勒参数估计

An Improved Doppler Centroid Estimation Scheme Based on Inertial Data and Raw Data

  • 摘要: 为了解决平台存在高速俯冲运动时合成孔径雷达(SAR)的杂波锁定问题,提出一种基于惯导及原始数据的改进多普勒中心估计方法. 该方法通过高精度惯导提供的姿态及速度信息来估计出多普勒模糊数,并结合原始回波数据对多普勒中心频率的小数部分进行精确估计,在两者的共同作用下可以估计出高速俯冲运动下SAR的多普勒中心频率偏移. 仿真结果表明,在惯导数据存在一定误差时,该方法估计得到的多普勒中心频率精度优于直接用惯导数据的估计结果,计算量优于仅依据原始回波数据的估计方法.

     

    Abstract: This paper describes an improved Doppler centroid estimation scheme, which determines the pulse repetition frequency (PRF) fractional part of the Doppler centroid and resolves the problem of Doppler ambiguity. Experiments show that the scheme could estimate the Doppler centroid accurately and rapidly for synthetic aperture radar (SAR) under the high velocity diving model. The scheme involves two estimation methods. First, the attitude and velocity data, which is provided by inertial navigation system (INS), are used to resolve the ambiguity. Second, the raw data is used to evaluate the PRF fractional part accurately. Combined together with the above measures, the Doppler centroid estimation for diving model can be achieved quickly with sufficient accuracy.

     

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