海军航空大学学报2026，Vol.41Issue(3)：519-533,15.DOI:10.7682/j.issn.2097-1427.2026.03.010
基于回波能量空时分布的微弱目标智能TBD技术
Intelligent TBD Technology for Faint Targets Based on Spatio-Temporal Distribution Characteristics of Echo Energy
摘要
Abstract
Track Before Detect(TBD)of maneuvering faint targets remains a challenge in the field of target detection.The motion states of maneuvering targets are often difficult to accurately describe using models,leading to ineffective energy accumulation in model-based TBD methods and significant degradation in detection performance.To address this issue,the spatio-temporal distribution characteristics of target echo energy are explored thoroughly and an intelli-gent TBD technique specifically for maneuvering faint targets is proposed.This method achieves effective accumulation of echo energy without requiring prior information on motion models.Improved YOLO instance segmentation networks are employed to detect targets using multi-frame echo data accumulated based on the maximum value principle,and the algorithm's effectiveness and feasibility are verified through simulation experiments.Under the signal-to-noise ratio of 8 dB,the detection probability for single targets exceeds 86%,while for multiple targets it exceeds 80%.关键词
检测前跟踪/空时分布特征/机动微弱目标/动态蛇形卷积/瓶颈变换器网络Key words
track before detect/spatio-temporal distribution characteristics/maneuvering faint targets/dynamic snake convolution/bottleneck transformer network分类
信息技术与安全科学引用本文复制引用
张一泓,宋光磊,孙殿星,彭锐晖,于洪波..基于回波能量空时分布的微弱目标智能TBD技术[J].海军航空大学学报,2026,41(3):519-533,15.基金项目
国防科技重点实验室基金(2023-JCJQ-LB-016) （2023-JCJQ-LB-016）
