采用压缩感知的麦克风阵列远场声源方位估计
|
摘要
传统CS-DOA算法采用事先测量获得的声传播冲激响应组成稀疏恢复方程中的混合矩阵,远场条件下测量冲激响应误差增大,导致性能下降。针对该问题,将房间冲激响应(RIP)分解为时延部分和混响部分,并在稀疏恢复方程中将混响部分移至方向矢量项,表明:通过频点叠加的方式,在远场条件下可直接利用阵列空间关系构造冲激响应组成混合矩阵,进行远场压缩感知声源方位估计。实验结果表明:与相位变换加权的可控响应功率和延时-累加定位算法相比,在远场条件下该算法具有更高的方位估计分辨率。
The traditional CS-DOA algorithm needs to measure the acoustic propagation impulse response in advance to act as mixture matrix of sparse recovery equation,which leads to substantial performance degradation under far field as the error of response measurement increases. In this paper,the room impulse response is firstly decomposed into the delay part and the reverberation part,then the latter is moved to the orientation vector in the sparse recovery equation. By the way of frequency domain accumulation,we can use the array spatial relationship to directly construct the impulse response to make up mixture matrix,thus enable far field compressed sensing DOA. The experimental results showed that,compared with steered response power-phase transform and Delayed-sum algorithm,the proposed algorithm has a higher DOA resolution performance under the far field condition.
The traditional CS-DOA algorithm needs to measure the acoustic propagation impulse response in advance to act as mixture matrix of sparse recovery equation,which leads to substantial performance degradation under far field as the error of response measurement increases. In this paper,the room impulse response is firstly decomposed into the delay part and the reverberation part,then the latter is moved to the orientation vector in the sparse recovery equation. By the way of frequency domain accumulation,we can use the array spatial relationship to directly construct the impulse response to make up mixture matrix,thus enable far field compressed sensing DOA. The experimental results showed that,compared with steered response power-phase transform and Delayed-sum algorithm,the proposed algorithm has a higher DOA resolution performance under the far field condition.
引文
[1]蒋婷,刘建平,张一闻.基于多麦克风阵列的枪声定位算法研究[J].计算机应用与软件,2012,29(13):229-231.
[2]左佑,于胜云,黄浩,等.低空目标光纤麦克风阵列无源测向技术[J].电子信息对抗技术,2013,28(3):18-21.
[3]WAX M,KAILATH T.Optimum localization of multiple sources by passive arrays[J].Acoustics Speech&Signal Processing IEEE Transaction on,1983,31(5):1210-1217.
[4]GUSTAFSSON T,RAO B D,TRIVEDI M.Source Localization in Reverberant Environments:Modeling And Statistical Analysis[J].IEEE Transactions on Speech and Audio Processing,2003,11(6):791-803.
[5]HUANG L,WU S J,ZHANG L R.A Novel MUSIC Algorithm for Direction-of-Arrive Estimation without the Estimate of Covariance Matrix and Its Eigende Composition[C]//Proceedings of IEEE International Conference on Vehicular Technology,Intercontinental Hotels Dallas,Dallas Texas,2005,1:16-19.
[6]DIBIASE T H.A high-accuracy,low-latency technique for talker localization environments using microphone arrays[D].Providence,Rhode Island,USA:Brown University,2000.
[7]ZHAO Xiaoyan,TANG Jie,ZHOU Lin,et al.Accelerated steered response power method for sound source localization via clustering search[J].Science China Physics,Mechanics and Astronomy,2013,56(7):1329-1338.
[8]CANDèS E J,WAKIN M B.An introduction to compressive sampling[J].IEEE Signal Processing Magazine,2008,25(2):21-30.
[9]GURBUZ L C,CEVHER V,MCCLELLAN J H.Bearing estimation via spatial sparsity using compressive sensing[J].IEEE Transaction on Aerospace and Electronic Systems,2012,48(2):1358-1369.
[10]XENAKI A,GERSTOFT P,MOSEGAARD K.Compressive beam-forming[J].The Journal of the Acoustical Society of America,2014,136(1):260-271.
[11]付金山,李秀坤.声矢量阵DOA估计的稀疏分解理论研究[J].哈尔滨工程大学学报,2013,34(3):280-286.
[12]赵宏伟,刘波,刘恒.用于卫星干扰源定位的压缩感知DOA估计方法[J].火力与指挥控制,2016,41(10):25-28.
[13]赵小燕,周琳,吴镇扬.基于压缩感知的麦克风阵列声源定位算法[J].东南大学学报(自然科学版),2015,45(2):203-207.
[14]张奕,殷福亮.混响和有色噪声环境下的顽健时延估计方法[J].通信学报,2008,29(5):6-12.
[15]RMI MIGNOT,GILLES CHARDON,LAURENT DAUDET.Low frequency interpolation of room impulse responses using compressed sensing[J].IEEE/ACM Transactions on Audio,Speech,and Language Processing,2014,22(1):205-216.
[16]李芳兰,周跃海,童峰,等.采用可调波束形成器的GSC麦克风阵列语音增强方法[J].厦门大学学报(自然科学版),2013,52(2):186-189.
[17]陈磊,江伟华,童峰,等.一种可跟踪移动声源方向的麦克风阵列语音增强算法[J].厦门大学学报(自然科学版),2015,54(4):551-555.
[18]张武威.关于室内混响时间的计算问题[J].电声技术,2005(3):17-20.
[19]GAROFOLO J,LAMEL L,FISHER W,et al.TIMIT Acoustic-Phonetic Continuous Speech(MS-WAV version)[J].Journal of the Acoustical Society of America,1993,88(88):210-221.
[2]左佑,于胜云,黄浩,等.低空目标光纤麦克风阵列无源测向技术[J].电子信息对抗技术,2013,28(3):18-21.
[3]WAX M,KAILATH T.Optimum localization of multiple sources by passive arrays[J].Acoustics Speech&Signal Processing IEEE Transaction on,1983,31(5):1210-1217.
[4]GUSTAFSSON T,RAO B D,TRIVEDI M.Source Localization in Reverberant Environments:Modeling And Statistical Analysis[J].IEEE Transactions on Speech and Audio Processing,2003,11(6):791-803.
[5]HUANG L,WU S J,ZHANG L R.A Novel MUSIC Algorithm for Direction-of-Arrive Estimation without the Estimate of Covariance Matrix and Its Eigende Composition[C]//Proceedings of IEEE International Conference on Vehicular Technology,Intercontinental Hotels Dallas,Dallas Texas,2005,1:16-19.
[6]DIBIASE T H.A high-accuracy,low-latency technique for talker localization environments using microphone arrays[D].Providence,Rhode Island,USA:Brown University,2000.
[7]ZHAO Xiaoyan,TANG Jie,ZHOU Lin,et al.Accelerated steered response power method for sound source localization via clustering search[J].Science China Physics,Mechanics and Astronomy,2013,56(7):1329-1338.
[8]CANDèS E J,WAKIN M B.An introduction to compressive sampling[J].IEEE Signal Processing Magazine,2008,25(2):21-30.
[9]GURBUZ L C,CEVHER V,MCCLELLAN J H.Bearing estimation via spatial sparsity using compressive sensing[J].IEEE Transaction on Aerospace and Electronic Systems,2012,48(2):1358-1369.
[10]XENAKI A,GERSTOFT P,MOSEGAARD K.Compressive beam-forming[J].The Journal of the Acoustical Society of America,2014,136(1):260-271.
[11]付金山,李秀坤.声矢量阵DOA估计的稀疏分解理论研究[J].哈尔滨工程大学学报,2013,34(3):280-286.
[12]赵宏伟,刘波,刘恒.用于卫星干扰源定位的压缩感知DOA估计方法[J].火力与指挥控制,2016,41(10):25-28.
[13]赵小燕,周琳,吴镇扬.基于压缩感知的麦克风阵列声源定位算法[J].东南大学学报(自然科学版),2015,45(2):203-207.
[14]张奕,殷福亮.混响和有色噪声环境下的顽健时延估计方法[J].通信学报,2008,29(5):6-12.
[15]RMI MIGNOT,GILLES CHARDON,LAURENT DAUDET.Low frequency interpolation of room impulse responses using compressed sensing[J].IEEE/ACM Transactions on Audio,Speech,and Language Processing,2014,22(1):205-216.
[16]李芳兰,周跃海,童峰,等.采用可调波束形成器的GSC麦克风阵列语音增强方法[J].厦门大学学报(自然科学版),2013,52(2):186-189.
[17]陈磊,江伟华,童峰,等.一种可跟踪移动声源方向的麦克风阵列语音增强算法[J].厦门大学学报(自然科学版),2015,54(4):551-555.
[18]张武威.关于室内混响时间的计算问题[J].电声技术,2005(3):17-20.
[19]GAROFOLO J,LAMEL L,FISHER W,et al.TIMIT Acoustic-Phonetic Continuous Speech(MS-WAV version)[J].Journal of the Acoustical Society of America,1993,88(88):210-221.