HRRP Target Recognition Method Based on Multi Domain Feature Fusion
WU Wenjing
WANG Zhongxun
HONG Zirong
WANG Ping
XING Zijie
Abstract：The High Resolution Range Profile contains rich target information,and by extracting the strong scattering point distribution features of HRRP,different targets can be classified and recognized.This article fully considers the multi domain fea-tures and time dependence of HRRP,utilizes ResNet18 network for time-frequency domain feature extraction,and proposes a new deep learning model MI-MFN combined with memory fusion network for multi domain feature fusion recognition.It achieves cross view interaction of memory in different dimensions,effectively learning and extracting HRRP sequence features.The experimental results show that the recognition accuracy of the MI-MFN model can reach over 99.9%,and it has excellent recognition perfor-mance.
Keywords：HRRPmulti domain feature extractionMFNradar automatic target recognition
Publication Date：2024-11-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 60-64,75 )