空军工程大学学报2025，Vol.26Issue(1)：67-75,9.DOI:10.3969/j.issn.2097-1915.2025.01.009
基于PDW重构的智能机载雷达工作模式识别算法
An Intelligent Working Mode Recognition Algorithm for Airborne Radar Based on PDW Reconstruction
摘要
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％.关键词
脉冲丢失/序列重构/时间卷积网络/雷达工作模式识别Key words
pulse missing/sequence reconstruction/temporal convolution network/radar working mode recognition分类
信息技术与安全科学引用本文复制引用
李晨轩,张劲东,李一鸣,李明杰..基于PDW重构的智能机载雷达工作模式识别算法[J].空军工程大学学报,2025,26(1):67-75,9.基金项目
国家自然科学基金(62171220) （62171220）
