摘要
在水下航行器等运动平台上,主动声呐的近距离滤波结果受混响干扰影响严重,大量的混响回波亮点会掩蔽目标回波的可见性,导致后续检测判决的虚警率增大。以阵列处理的方位历程图作为基本输入,该文利用某些场景下混响干扰相邻周期间潜在的相干结构,假设混响满足低秩性;由于平台间的相对运动,假设感兴趣的目标回波在逐周期间是不相关且稀疏的。之后,将方位历程图表示为低秩的混响、稀疏的运动目标回波和噪声成分,在此基础上提出以加速近端梯度法(APG)和快速数据投影法(FDPM)分别实现离线和在线的低秩稀疏分解,从而实现混响抑制和目标回波增强。试验结果验证了假设模型的有效性,并且两种分解算法均能有效地增强目标回波。
For the underwater moving platforms,the near-range filtering of active sonar is seriously affected by reverberation disturbance.Usually,the real target echo will be masked by numerous reverberation highlights,which will greatly increase the false alarm rate of subsequent detection.Among adjacent periods of the bearingtime-record from array processing in some scenarios,this paper utilizes the potential coherent structure of reverberation,and then assumes that reverberation component satisfies the low-rank property.In addition,the relative motion may assume that target echoes of interest are irrelevant and sparse.Accordingly,the bearingtime-record can be decomposed as low-rank reverberation,sparse moving target echo and noise components.To suppress reverberation and enhance target echoes,the Accelerated Proximal Gradient(APG)and Fast Data Projection Method(FDPM)are proposed to realize offline and online decomposition,respectively.The experimental results validate the assumed models,and both approaches can effectively enhance target echoes.
作者
王燕
贺玉梁
邱龙皓
邹男
WANG Yan;HE Yuliang;QIU Longhao;ZOU Nan(Acoustic Science and Technology Laboratory,Harbin Engineering University,Harbin 150001,China;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2021年第7期1978-1984,共7页
Journal of Electronics & Information Technology
基金
国家重点研发计划(2017YFC0306900)
国防基础科研(JCKY2019604B001)。
关键词
主动声呐混响
目标回波增强
低秩稀疏分解
方位历程图
Active sonar reverberation
Target echo enhancement
Low-rank and sparse decomposition
Bearing-time-record