首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Adding Sensitivity to the MLBF Doppler Centroid Estimator
【24h】

Adding Sensitivity to the MLBF Doppler Centroid Estimator

机译:为MLBF多普勒质心估计器增加灵敏度

获取原文
获取原文并翻译 | 示例

摘要

The multilook beat frequency (MLBF) algorithm is the Doppler centroid estimator most commonly used in practice to solve the Doppler ambiguity. However, it still makes errors, notably in medium- or low-contrast scenes. In this paper, we present two ways in which the estimation sensitivity of the MLBF algorithm can be improved. First, we give a more thorough frequency-domain explanation of how the MLBF algorithm works and explain how cross beating and range migration cause estimation difficulties. The first improvement to the algorithm replaces the fast Fourier transform (FFT)-based beat frequency estimator with a more accurate one that uses phase increments. It avoids the FFT limitations of resolution and quantization, especially when the signal is discontinuous in one range cell due to range cell migration or burst mode operation (ScanSAR). A second improvement uses range cell migration correction to straighten the target trajectories before the beat frequency estimator is applied. This has the effect of narrowing the bandwidth of the beat signal and reducing the effect of cross beating. Finally, experiments with RADARSAT-1 data are used to illustrate the improved estimation accuracy of the modified algorithm
机译:多视拍频(MLBF)算法是多普勒质心估计器,在实践中最常用于解决多普勒模糊性。但是,它仍然会出错,特别是在中等或低对比度场景中。在本文中,我们提出了两种方法可以提高MLBF算法的估计灵敏度。首先,我们对MLBF算法的工作原理进行了更为详尽的频域解释,并说明了交叉跳动和距离偏移如何造成估计困难。该算法的第一项改进是使用相位增量来更精确地替代基于快速傅立叶变换(FFT)的拍频估算器。它避免了分辨率和量化的FFT限制,尤其是当信号由于一个距离单元迁移或突发模式操作(ScanSAR)而在一个距离单元中不连续时。第二种改进方法是在应用心跳频率估算器之前,使用距离像元迁移校正来拉直目标轨迹。这具有使差拍信号的带宽变窄并且减小交叉拍打的效果。最后,利用RADARSAT-1数据进行的实验说明了改进算法的估计精度

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号