正弦函数基原子库微弱被动鱼声信号的稀疏检测
|
摘要
为实现海洋环境中微弱被动鱼声信号的检测,针对单频正弦信号稀疏分解用于微弱信号检测的局限性,采用正弦函数基拟合被动鱼声信号,构建不同幅值、频率和初相位的正弦波信号作为过完备原子库,通过稀疏分解,检测出淹没在强噪声环境中的微弱正弦信号的幅度、频率和初相位参数,从而恢复出待检测的被动鱼声信号。实验表明:该项技术在-40 d B条件下可以实现任意形式的鱼声信号检测。
In order to detect weak passive fish acoustic signal in the oceans, the numerical method was presented for matching the passive fish acoustic signal based on sine wavelets. Based on an over-complete dictionary from sine wavelets signal of different frequency, amplitude and phase instead of a single sine signal, sparse decomposition algorithm was realized. Parameters of weak passive fish acoustic signal can be detected under low signal-to-noise ratio(SNR)surroundings. Experimental results show that an arbitrary passive fish acoustic signal can be detected under-40 d B SNR.
In order to detect weak passive fish acoustic signal in the oceans, the numerical method was presented for matching the passive fish acoustic signal based on sine wavelets. Based on an over-complete dictionary from sine wavelets signal of different frequency, amplitude and phase instead of a single sine signal, sparse decomposition algorithm was realized. Parameters of weak passive fish acoustic signal can be detected under low signal-to-noise ratio(SNR)surroundings. Experimental results show that an arbitrary passive fish acoustic signal can be detected under-40 d B SNR.
引文
[1]张波.鱼群声散射模型及其仿真研究[D].哈尔滨:哈尔滨工程大学,2009.
[2]Rountree R A,Goudey C,Hawkins T.Editors listening to fish[J].Proceedings of the International Workshop on the Applications of Passive Acoustics to Fisheries,2002(4):8-10.
[3]Rountree R A,Gilmore R G,Goudey C A,et al.Listening to fish:applications of passive acoustics to fisheries science[J].Fisheries,2006:433-446.
[4]Luczkovich J J,Mann D A,Rountree R A.Editors.passive acoustics as a tool in fisheries[J].Special Module Based on a Symposium Held at the American Fisheries Society Annual Meeting,Quebec City,Canada,September.
[5]Hawkins A D.Underwater sound and fish behaviour[A].Tony J.Pitcher.The behaviour of teleost fishes[C]∥US:Springer,1986:114-151.
[6]Wood M L,Casaretto G,Horgan A D.Discriminating between fish sounds a wavlet approach[J].Bioacoustics,2002(12):337-339.
[7]Hawkins A D,Rasmussen K J.The calls of gadoid fish[J].Journal of the Marine Biological Association of the United Kingdom,1978(58):891-911.
[8]Lobel P S,Mann D A.Spawning sounds of the damselfish,Dascyllus albisella(Pomacentridae),and relationship to male size[J].Bioacoustics,1995,6(3):187-198.
[9]Ronald A,David L.Monitoring high-seas fisheries with long-range passive acoustic sensors[J].IEEE,1996:1917-1924.
[10]Howell B P,Wood S.Passive sonar recognition and analysis using hybrid neural networks[J].Oceans,2003:1917-1924.
[11]Rustam S,Sreeram R,Alexander S.Passive acoustic detection of modulated underwater sounds from biological and anthropogenic sources[J].Oceans,2007:1-8.
[12]任新敏,高大治,姚玉玲.大黄鱼的发声及信号特性研究[J].大连水产学院学报,2007,22(2):123-128.
[13]王巍巍.鱼类声信号的分析及特征提取研究[D].哈尔滨:哈尔滨工程大学,2008.
[14]刘贞文,许肖梅,覃柳怀.大黄鱼发声信号特性研究[J].声学技术,2010,29(6):342-343.
[15]崔秀华,胡国兵,崔金魁.基于虚拟仪器的鱼声信息采集系统的设计[J].信息化研究,2011,37(6):59-63.
[16]Mallt S,Zhang Z.Matching pursuits with time-frequency dictionaries[J].IEEE Transactions on Signal Processing,1993,41(12):3397-3415.
[17]赵瑞珍,刘晓宇.基于稀疏表示的小波去噪[J].中国科学:信息科学,2010,40(1):33-40.
[18]Plumbley M,Blumenbach T,Daudet L,et al.Sparse representations in audio and music[A].Proceedings of the IEEE,2009.
[19]王春光.基于稀疏分解的心电信号特征波检测及心电数据压缩[D].长沙:国防科技大学,2009.
[20]刘辉,杨俊安,黄文静.声信号并行稀疏分解去噪方法研究[J].电路与系统学报,2012,17(6):64-69.
[21]李扬,郭树旭.基于稀疏分解的大功率半导体激光器1/f噪声参数估计的新方法[J].物理学报,2012,61(3):1-6.
[22]王建英,尹忠科.信号与图像的稀疏分解及初步应用[M].成都:西南交通大学出版社,2006:117-123.
[2]Rountree R A,Goudey C,Hawkins T.Editors listening to fish[J].Proceedings of the International Workshop on the Applications of Passive Acoustics to Fisheries,2002(4):8-10.
[3]Rountree R A,Gilmore R G,Goudey C A,et al.Listening to fish:applications of passive acoustics to fisheries science[J].Fisheries,2006:433-446.
[4]Luczkovich J J,Mann D A,Rountree R A.Editors.passive acoustics as a tool in fisheries[J].Special Module Based on a Symposium Held at the American Fisheries Society Annual Meeting,Quebec City,Canada,September.
[5]Hawkins A D.Underwater sound and fish behaviour[A].Tony J.Pitcher.The behaviour of teleost fishes[C]∥US:Springer,1986:114-151.
[6]Wood M L,Casaretto G,Horgan A D.Discriminating between fish sounds a wavlet approach[J].Bioacoustics,2002(12):337-339.
[7]Hawkins A D,Rasmussen K J.The calls of gadoid fish[J].Journal of the Marine Biological Association of the United Kingdom,1978(58):891-911.
[8]Lobel P S,Mann D A.Spawning sounds of the damselfish,Dascyllus albisella(Pomacentridae),and relationship to male size[J].Bioacoustics,1995,6(3):187-198.
[9]Ronald A,David L.Monitoring high-seas fisheries with long-range passive acoustic sensors[J].IEEE,1996:1917-1924.
[10]Howell B P,Wood S.Passive sonar recognition and analysis using hybrid neural networks[J].Oceans,2003:1917-1924.
[11]Rustam S,Sreeram R,Alexander S.Passive acoustic detection of modulated underwater sounds from biological and anthropogenic sources[J].Oceans,2007:1-8.
[12]任新敏,高大治,姚玉玲.大黄鱼的发声及信号特性研究[J].大连水产学院学报,2007,22(2):123-128.
[13]王巍巍.鱼类声信号的分析及特征提取研究[D].哈尔滨:哈尔滨工程大学,2008.
[14]刘贞文,许肖梅,覃柳怀.大黄鱼发声信号特性研究[J].声学技术,2010,29(6):342-343.
[15]崔秀华,胡国兵,崔金魁.基于虚拟仪器的鱼声信息采集系统的设计[J].信息化研究,2011,37(6):59-63.
[16]Mallt S,Zhang Z.Matching pursuits with time-frequency dictionaries[J].IEEE Transactions on Signal Processing,1993,41(12):3397-3415.
[17]赵瑞珍,刘晓宇.基于稀疏表示的小波去噪[J].中国科学:信息科学,2010,40(1):33-40.
[18]Plumbley M,Blumenbach T,Daudet L,et al.Sparse representations in audio and music[A].Proceedings of the IEEE,2009.
[19]王春光.基于稀疏分解的心电信号特征波检测及心电数据压缩[D].长沙:国防科技大学,2009.
[20]刘辉,杨俊安,黄文静.声信号并行稀疏分解去噪方法研究[J].电路与系统学报,2012,17(6):64-69.
[21]李扬,郭树旭.基于稀疏分解的大功率半导体激光器1/f噪声参数估计的新方法[J].物理学报,2012,61(3):1-6.
[22]王建英,尹忠科.信号与图像的稀疏分解及初步应用[M].成都:西南交通大学出版社,2006:117-123.