西安电子科技大学学报（自然科学版）2023，Vol.50Issue(6)：105-119,15.DOI:10.19665/j.issn1001-2400.20221104
采用双迭代寻优算法的舰船复HRRP估计
Estimation of the complex HRRP of ships using the bi-iterative optimization algorithm
摘要
Abstract
In estimation of the complex high-resolution range profile(HRRP)of a ship in the sea clutter,the inaccurate target scattering model leads to the performance degradation of the existing linear program-based(LP-based)sparse recovery method and the sparse recovery method via iterative minimization(SRIM).In this paper,a bi-iterative optimization algorithm is proposed to solve this problem.The algorithm first adopts the LP-based sparse recovery method or SRIM method to estimate the complex HRRP of the ship at a given HRRP model and then tunes the position of the scatterer at each range cell by using the quasi-Newton algorithm to construct a more refined target scattering point model with the same scale.The bi-iterative process above is repeated until the recovery error of the ship HRRP meets the demand specified in advance.Through simulation and measured data experiments,the performance of ship complex HRRP estimation and that of radial size estimation with several sparse recovery methods are analyzed and compared.Experimental results show that the proposed bi-iterative optimization algorithm attains less estimation errors in ship complex HRRP and radial size than the LP-based sparse recovery method and SRIM method and requires much less computational time when it attains a comparable performance with the LP-based sparse recovery method using the oversampled HRRP model.关键词
线性规划/杂波/舰船复高分辨距离像估计/径向尺寸估计/稀疏恢复方法Key words
linear programming/clutter/estimation of complex high-resolution range profile of ship/radial size estimation/sparse recovery method分类
信息技术与安全科学引用本文复制引用
苏海龙,水鹏朗..采用双迭代寻优算法的舰船复HRRP估计[J].西安电子科技大学学报（自然科学版）,2023,50(6):105-119,15.基金项目
国家自然科学基金(62071346) （62071346）
