太赫兹科学与电子信息学报2026，Vol.24Issue(6)：728-735,8.DOI:10.11805/TKYDA2025112
延时多普勒高度计贝叶斯重跟踪
Bayesian retracking for delay-Doppler radar altimetry
徐慧章 1余世泽 1胡尧 1袁文轩 1杨磊1
作者信息
- 1. 中国民航大学 电子信息与自动化学院,天津 300300
- 折叠
摘要
Abstract
To acquire terrain elevation profiles,terrain tracking methods are commonly adopted to extract topographic height information.Terrain tracking is divided into two stages:coarse tracking and retracking.Coarse tracking roughly obtains the Above Ground Level(AGL)via airborne navigation and positioning devices,whereas retracking is a process that uses algorithms to retrieve AGL parameters from the echo waveform with high precision.Most existing retracking algorithms are based on the Least Squares(LS)method,Maximum A Posteriori(MAP)method,and Variational Bayesian Expectation-Maximization(VB-EM)method.However,the LS method tends to overfit during the fitting process,resulting in degraded extraction accuracy;the MAP method does not suffer from overfitting but fails to yield a closed-form solution;the VB-EM method avoids overfitting and can obtain a closed form solution for the posterior probability density,yet its operation is complex,computationally intensive,and prone to getting trapped in local optima.To address these issues,this paper establishes a reliable elevation-change retracking algorithm framework based on a Bayesian-driven model combined with Markov Chain Monte Carlo(MCMC)sampling.The proposed Bayesian retracking algorithm not only avoids overfitting but also obtains a closed-form posterior probability solution,while requiring a relatively small computational burden.Applying this method to perform retracking calculations on radar echoes,the final measurement error is on the order of only one range bin;converted to a measurement altitude of 3 000 m,the error is merely 0.2%.关键词
机载延迟多普勒高度计/重跟踪算法/贝叶斯算法/马尔可夫链蒙特卡罗/布朗模型/地形轮廓提取Key words
airborne delay-Doppler altimetry/retracking algorithm/Bayesian algorithm/Markov Chain Monte Carlo(MCMC)/Brown Model(BM)/terrain contour extraction分类
信息技术与安全科学引用本文复制引用
徐慧章,余世泽,胡尧,袁文轩,杨磊..延时多普勒高度计贝叶斯重跟踪[J].太赫兹科学与电子信息学报,2026,24(6):728-735,8.
