Journal of Xidian University ›› 2023, Vol. 50 ›› Issue (6): 105-119.doi: 10.19665/j.issn1001-2400.20221104

• Information and Communications Engineering & Computer Science and Technology • Previous Articles     Next Articles

Estimation of the complex HRRP of ships using the bi-iterative optimization algorithm

SU Hailong(),SHUI Penglang()   

  1. National Key Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China
  • Received:2022-09-23 Online:2023-12-20 Published:2024-01-22


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.

Key words: linear programming, clutter, estimation of complex high-resolution range profile of ship, radial size estimation, sparse recovery method

CLC Number: 

  • TP958.3