An Intelligent Working Mode Recognition Algorithm for Airborne Radar Based on PDW Reconstruction
LI Chenxuan
ZHANG Jindong
LI Yiming
LI Mingjie
Abstract：Aimed at the problem that pulse loss is a significant impact on mode recognition accuracy,an in-telligent working mode recognition algorithm for airborne radar is proposed based on PDW reconstruction.Firstly,frequent DTOA items are extracted based on the first-order differential sequence of TOA.Second-ly,the radar's true PRI and the PRI variation pattern are derived from these frequent items.Thirdly,the computed number of pulses under conditions of different PRI are to complete PDW reconstruction.Final-ly,the reconstructed PDW is inputted into a pre-built temporal convolution network(TCN)for recogniz-ing the onboard radar working mode.Such a method can exploit the temporal correlation within the PDW sequence to further capture the features of the PDW sequence.The results show that the proposed method achieves a mode recognition accuracy of over 95％when the pulse loss rate is less than 70％.
Keywords：pulse missingsequence reconstructiontemporal convolution networkradar working mode recognition
Publication Date：2025-02-24
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 67-75 )