雷达学报2026，Vol.15Issue(2)：662-686,25.DOI:10.12000/JR25113
一种面向机械旋转变极化雷达的蝙蝠超分辨改进算法
An Improved Bat-inspired Super-resolution Algorithm for Mechanical Rotation Polarimetric Radar
摘要
Abstract
In recent years,bionic super-resolution technology,inspired by biological perception mechanisms,has emerged as a substantial research direction aimed at overcoming the limitations of radar resolution.The Baseband Spectrogram Correlation and Transformation(BSCT)model,which is based on bat hearing,offers a novel approach to enhancing traditional radar resolution.However,the model exhibits inherent limitations,including insufficient multi-target adaptability and the inability to utilize polarization information.To address these problems,this paper proposes a polarization-enhanced bionic super-resolution model:Polarimetric Baseband Spectrogram Correlation and Transformation(P-BSCT)for Mechanical Rotation Polarimetric Radar(MRPR).The primary contributions of this study are as follows:first,the integration of the bat BSCT model with MRPR,thereby enabling the utilization of polarization information and the execution of polarization measurements;second,the proposal of an advanced signal processing method,which overcomes the limitations of the original BSCT in two-target and static scenes,effectively applying to multi-target and moving-target scenarios,and exhibiting no impact on the resolution effect due to signal modulation.P-BSCT has been demonstrated to enhance resolving power by approximately 15 dB under optimal conditions when compared with the original BSCT model.In scenarios involving moving targets,targets exhibiting equivalent polarization scattering properties,and nonlinear FM signals,the resolving performance of P-BSCT remains essentially unchanged,demonstrating notable robustness.关键词
仿生超分辨/基带谱相关及变换(BSCT)/机械旋转变极化雷达(MRPR)/子空间分解/极化测量Key words
Biomimetic super-resolution/Baseband Spectrogram Correlation and Transformation(BSCT)/Mechanical Rotation Polarimetric Radar(MRPR)/Subspace decomposition/Polarimetric measurement分类
信息技术与安全科学引用本文复制引用
王博弘,申彪,穆文星,刘涛..一种面向机械旋转变极化雷达的蝙蝠超分辨改进算法[J].雷达学报,2026,15(2):662-686,25.基金项目
国家自然科学基金(62571542,62171452)The National Natural Science Foundation of China(62571542,62171452) （62571542,62171452）
