太赫兹科学与电子信息学报2026，Vol.24Issue(6)：712-720,9.DOI:10.11805/TKYDA2025062
非高斯加性噪声干扰下雷达高度表参数估计
Estimation of radar altimeter parameters under non-Gaussian noised data
张杨 1江舸 1黄博 1鲁彦希1
作者信息
- 1. 中国工程物理研究院 电子工程研究所,四川 绵阳 621999
- 折叠
摘要
Abstract
To address the issues of degraded ranging accuracy and reduced robustness of radar altimeters under non-Gaussian additive noise interference,a height measurement method based on Bayesian parameter estimation is proposed.This method employs the generalized Gaussian distribution to model the characteristics of non-Gaussian noise,and combines Bayesian learning to achieve precise estimation of elevation parameters for airborne radar altimeters.Validation results from both simulation and measured data demonstrate that,compared with traditional least squares methods and existing Bayesian approaches,the proposed method improves the ranging accuracy and robustness of radar altimeter parameter estimation under non-Gaussian additive noise interference,providing reliable technical support for high-precision parameter estimation under complex noise conditions.关键词
合成孔径雷达高度表/贝叶斯算法/非高斯噪声/广义高斯分布Key words
Synthetic Aperture Radar altimeter/Bayesian learning/non-Gaussian noise/Generalized Gaussian distribution分类
信息技术与安全科学引用本文复制引用
张杨,江舸,黄博,鲁彦希..非高斯加性噪声干扰下雷达高度表参数估计[J].太赫兹科学与电子信息学报,2026,24(6):712-720,9.
