突发脉冲干扰下的白鲸哨声端点检测方法  

An end-point detection method for beluga whistle signals under burst pulse interferences

作　　者：赵翌博 乔钢 刘凇佐[1,2,3] 青昕 李磊[1,2,3] ZHAO Yibo;QIAO Gang;LIU Songzuo;QING Xin;LI Lei(National Key Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001;Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University),Ministry of Industry and Information Technology,Harbin 150001;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001)

机构地区：[1]哈尔滨工程大学水声技术全国重点实验室,哈尔滨150001 [2]工业和信息化部海洋信息获取与安全工信部重点实验室(哈尔滨工程大学),哈尔滨150001 [3]哈尔滨工程大学水声工程学院,哈尔滨150001

出　　处：《声学学报》2024年第3期550-559,共10页Acta Acustica

基　　金：国家自然科学基金项目(62231011,12204129);水声对抗技术重点实验室基金项目(JCKY2022207CH01);黑龙江省优秀青年基金项目(YQ2019F002);青年人才托举工程项目(2022QNRC001)资助。

摘　　要：针对圈养条件下大量突发脉冲干扰影响白鲸哨声检测的问题,提出了一种可调Q因子小波变换(TQWT)结合自适应谱聚类的无监督哨声信号检测方法。对原始信号做高Q因子的小波分解,并以平均小波系数作为检验统计量完成哨声端点粗检测,排除静默时间段与低强度脉冲干扰;在此基础上使用局部密度自适应谱聚类进一步区分哨声与强脉冲干扰,完成白鲸哨声检测。使用实采的白鲸信号测试该检测器性能并计算其F_(1)分数。该检测器在两段测试信号下分别获得了0.9487和0.9429的F_(1)分数,且在大数据量情况下明显优于由k-means聚类或传统谱聚类构成的检测器,具有更高的鲁棒性。Aiming at the problem that the detection accuracy of the beluga whistle is reduced due to a large number of burst pulse interferences under captive conditions,an unsupervised whistle detection method based on the tunable Q-factor wavelet transform(TQWT)and adaptive spectral clustering is proposed.To eliminate the interference of silent time and low intensity pulses,the high Q-factor wavelet decomposition is used to decompose each original signal frame,and the average wavelet coefficient is used as the test statistics of the whistle rough detection.On this basis,local density adaptive spectral clustering is designed for the remaining frames to further distinguish whistles and strong pulse interference for complete beluga whistle detection.The performance of the detector is tested with real signals of beluga whales,and its F_(1)-score is calculated.The results show that the detector achieves F_(1)-score of 0.9487 and 0.9429 under two test signals,which is obviously higher than the detector composed of k-means clustering or traditional spectral clustering in the case of large data,and has higher robustness.

关 键 词：白鲸 哨声信号 脉冲干扰 可调Q因子小波变换 谱聚类 

分 类 号：TB56[交通运输工程—水声工程] Q62[理学—物理]