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Position error estimation of sub-array in passive ranging sonar based on a genetic algorithm 基于遗传算法的被动测距声纳子阵位置误差估计
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.6.630
Minyoung Eom, Do-Young Kim, G. Park, K. Shin, S. Oh
: Passive Ranging Sonar (PRS) is a type of passive sonar consisting of three sub-array on the port and starboard, and has a characteristic of detecting a target and calculating a bearing and a distance. The bearing and distance calculation requires physical sub-array position information, and the bearing and distance accuracy performance are deteriorated when the position information of the sub-array is inaccurate. In particular, it has a greater impact on distance accuracy performance using plus value of two time-delay than a bearing using average value of two time-delay. In order to improve this, a study on sub-array position error estimation and error compensation is needed. In this paper, We estimate the sub-array position error based on genetic algorithm, an optimization search technique, and propose a method to improve the performance of distance accuracy by compensating the time delay error caused by the position error. In addition, we will verify the proposed algorithm and its performance using the sea-going data
被动测距声纳(PRS)是一种由左右舷三个子阵组成的被动声纳,具有探测目标并计算方位和距离的特点。方位和距离计算需要物理子阵位置信息,当子阵位置信息不准确时,方位和距离精度性能会下降。特别是,与使用两个时延平均值的轴承相比,使用两个时延平均值的轴承对距离精度性能的影响更大。为了改善这一问题,需要对子阵位置误差估计和误差补偿进行研究。本文基于优化搜索技术遗传算法估计子阵位置误差,提出了一种通过补偿位置误差引起的时延误差来提高距离精度性能的方法。此外,我们将使用海上数据验证所提出的算法及其性能。
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引用次数: 1
The efficient implementation of the multi-channel active noise controller using a low-cost microcontroller unit 利用低成本的微控制器单元有效地实现了多通道有源噪声控制器
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.1.009
I. Chung
In this paper, we propose a method that can be applied to the efficient implementation of multi-channel active noise controller. Since the normalized MFxLMS (Modified Filtered-x Least Mean Square) algorithm for the multi-channel active noise control requires a large amount of computation, the difficulty has lied in implementing the algorithm using a low-cost MCU (Microcontoller Unit). We implement the multi-channel active noise controller efficiently by optimizing the software based on the features of the MCU. By maximizing the usage of single-cycle MAC (MultiplyAccumulate) operations and minimizing move operations of the delay memory, we can achieve more than 3 times the performance in the aspect of computational optimization, and by parellel processing using the auxillary processor included in the MCU, we can also obtain more than 4 times the performance. In addition, the usage of additional parts can be minimized by maximizing the usage of the peripherals embedded in the MCU.
本文提出了一种有效实现多通道有源噪声控制的方法。由于用于多通道有源噪声控制的归一化MFxLMS (Modified filtering -x Least Mean Square)算法需要大量的计算量,难点在于使用低成本的MCU(微控制器单元)实现该算法。根据单片机的特点,通过对软件进行优化,有效地实现了多通道有源噪声控制器。通过最大化使用单周期MAC (MultiplyAccumulate)运算,最小化延迟存储器的移动运算,我们可以在计算优化方面获得3倍以上的性能,并且通过MCU中包含的辅助处理器的并行处理,我们也可以获得4倍以上的性能。此外,通过最大限度地利用嵌入在MCU中的外设,可以最大限度地减少额外部件的使用。
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引用次数: 0
Development of diagnosis index for tick/click and tone noise of blower motor using vibration signals 利用振动信号建立鼓风机电机咔嗒声和音调噪声诊断指标
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.3.363
Songjune Lee, C. Cheong, Inhiug Lee
Various studies have been conducted for the diagnosis of noise condition of complex rotary machines. In this study, diagnosis index using vibration signal is developed for the efficient and objective assessment of noise condition of a blower motor. The noise most commonly caused by the abnormal blower motor are Tick/Click noise and Tone noise. According to cause and noise characteristics, time-frequency analysis is used to diagnose Tick/Click noise, and smoothing in frequency domain is used to diagnose tone noise condition. The noise condition of the blower motors were diagnosed using the developed index and these results are compared with the diagnostic results by the experts. As a result, the agreement rate was about 95 %.
对于复杂旋转机械噪声状态的诊断,人们进行了各种各样的研究。为了有效、客观地评价鼓风机电机的噪声状况,建立了基于振动信号的诊断指标。风机电机异常引起的最常见的噪音是滴答声和音调声。根据产生原因和噪声特性,采用时频分析诊断嘀嗒噪声,采用频域平滑诊断音调噪声。利用所建立的指标对风机电机的噪声状况进行了诊断,并与专家的诊断结果进行了比较。结果,符合率约为95%。
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引用次数: 0
Analysis of underwater acoustic communication channel environment in Kyungcheon Lake 庆川湖水声通信信道环境分析
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.1.001
Yongchul Kim, Jongmin Ahn, Ho Jun Lee, S. K. Lee, Jaehak Chung
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引用次数: 0
Simulation of time-domain bottom reverberation signal using energy-flux model 用能量通量模型模拟时域底混响信号
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.1.096
Y. Jung, Keunhwa Lee, W. Seong, Seongil Kim
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引用次数: 0
Source depth discrimination based on channel impulse response 基于信道脉冲响应的源深度判别
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.1.120
Seong-il Cho, Dong-Hyun Kim, Ju-Yeon Kim
Passive source depth discrimination has been studied for decades since the source depth can be used for discriminating whether the target is near the surface or submerged. In this thesis, an algorithm for source depth discrimination is proposed based on CIR (Channel Impulse Response) from target-radiated noise (or signal). In order to extract CIR without a known source signal, Ray-based blind deconvolution is used. Subsequently, intersections of CIR pattern, which is characterized by ray arrival time difference, is utilized for discriminating source depth. The proposed algorithm is demonstrated through numerical simulation in ocean waveguide, and verified via the experimental data.
被动震源深度识别技术已经被研究了几十年,因为震源深度可以用来区分目标是在水面附近还是水下。本文提出了一种基于信道脉冲响应(CIR)的目标辐射噪声(或信号)源深度判别算法。为了在没有已知源信号的情况下提取CIR,采用了基于光线的盲反卷积方法。然后,利用以射线到达时间差为特征的CIR模式交叉点来判别源深度。该算法在海洋波导中进行了数值模拟,并通过实验数据进行了验证。
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引用次数: 0
A study on wideband adaptive beamforming based on WBRCB for passive uniform line array sonar 无源均匀线阵声纳基于WBRCB的宽带自适应波束形成研究
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.2.145
Ara Hyun, J. Ahn, I. Yang, Gwangtae Kim
: Adaptive beamforming methods are known to suppress sidelobes and improve detection performance of weak signal by constructing weight vectors depending on the received signal itself. A standard adaptive beamforming like the MVDR (Minimum Variance Distortionless Response) is very sensitive to mismatches between weight vectors and actual signal steering vectors. Also, a large computational complexity for estimating a stable covariance matrix is required when wideband beamforming for a large-scale array is used. In this paper, we exploit the WBRCB (Wideband Robust Capon Beamforming) method for stable and robust wideband adaptive beamforming of a passive large uniform line array sonar. To improve robustness of adaptive beamforming performance in the presence of mismatches, we extract a optimum mismatch parameter. WBRCB with extracted mismatch parameter shows performance improvement in beamforming using synthetic and experimental passive sonar signals.
已知自适应波束形成方法通过根据接收信号本身构造权向量来抑制副瓣和提高弱信号的检测性能。像MVDR(最小方差无失真响应)这样的标准自适应波束形成对权向量和实际信号转向向量之间的不匹配非常敏感。此外,在大规模阵列的宽带波束形成中,估计稳定的协方差矩阵需要很大的计算复杂度。本文研究了宽带鲁棒Capon波束形成(WBRCB)方法,用于无源大型均匀线阵声呐的稳定鲁棒宽带自适应波束形成。为了提高自适应波束形成在不匹配情况下的鲁棒性,我们提取了一个最优的不匹配参数。提取失配参数后的WBRCB在被动声纳合成信号和实验信号的波束形成中表现出较好的性能。
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引用次数: 0
Sea trial results of long range underwater acoustic communication based on frequency modulation in the East Sea 东海基于调频的远程水声通信海上试验结果
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.4.371
Joohyeong Lee, Geunhyeok Lee, Ki-Man Kim, Wanjin Kim
In this paper, we present the sea trial results of long distance underwater acoustic communication in the East Sea, October 2018. One transmitter and sixteen vertical array receivers were used to collect underwater acoustic communication signals, and the maximum distance between the transmitter and the receiver was 90 km. Information was transmitted by BFSK (Binary Frequency Shift Keying) and BCSK (Binary Chirp Shift Keying) method, which are typical digital frequency modulation techniques. Experimental results show that there is no error in all cases at the transmission distance of 60 km, and BFSK and BCSK have average uncoded bit error rate of 0.0197 and 0.0007 respectively without channel coding at 90 km transmission distance.
本文介绍了2018年10月东海远程水声通信海上试验结果。采用1台发射机和16台垂直阵列接收机采集水声通信信号,发射机与接收机之间的最大距离为90 km。采用典型的数字调频技术BFSK (Binary Frequency Shift Keying)和BCSK (Binary Chirp Shift Keying)进行信息传输。实验结果表明,在60 km的传输距离下,所有情况下都没有错误,在90 km的传输距离下,不进行信道编码的BFSK和BCSK的平均未编码误码率分别为0.0197和0.0007。
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引用次数: 4
Analysis of echolocation click signals of Indo-Pacific bottlenose dolphin (Tursiops aduncus) in Jeju Island 济州岛印太宽吻海豚回声定位咔嗒声信号分析
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.1.056
Kang-Hoon Choi, Young Geul Yoon, Sunhyo Kim, Hyeonsu Kim, J. Choi, H. Bae, Kyeongju Park
The Indo-Pacific bottlenose dolphins (Tursiops aduncus) are a toothed whale using echolocation clicks and have been studied continuously abroad. However, most studies on this whale’s clicks were performed about captive animals and, in Korea, only the studies of the whistle sounds of this animal were done. In this paper, acoustic characteristics of clicks were analyzed about the free-ranging Indo-Pacific bottlenose dolphins living in the coast of the Jeju Island. Acoustic parameters such as signal duration, 1st and 2nd peak frequency, 3 dB and 10 dB bandwidth for acoustic characteristics were calculated and compared with those of Australian species. As a result, the signal durations had average of 38 μs and most clicks were within range of 20 μs 60 μs. The two types of bandwidths showed both narrowband and broadband characteristics, and bimodal signal characteristics were confirmed through the 1st peak frequencies(average of 96 kHz ± 18 kHz) and the 2nd peak frequencies(average of 69 kHz ± 19 kHz).
印度太平洋宽吻海豚(Tursiops aduncus)是一种使用回声定位咔哒声的齿鲸,在国外一直被研究。然而,大多数关于这种鲸鱼的咔哒声的研究都是针对圈养动物进行的,在韩国,只对这种动物的哨声进行了研究。本文对生活在济州岛海岸的自由放养的印度太平洋宽吻海豚的咔嗒声特征进行了分析。计算了信号持续时间、第1和第2峰频率、3 dB和10 dB带宽等声学参数,并与澳大利亚种进行了比较。结果表明,信号持续时间平均为38 μs,大多数滴答声在20 μs ~ 60 μs范围内。两种带宽同时具有窄带和宽带特性,通过第一峰频率(平均为96 kHz±18 kHz)和第二峰频率(平均为69 kHz±19 kHz)确定了双峰信号特性。
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引用次数: 1
Study on noise prediction of non-cavitating underwater propeller with hull-appendages effect 考虑船体附属物效应的水下非空泡螺旋桨噪声预测研究
IF 0.4 Q4 ACOUSTICS Pub Date : 2019-01-01 DOI: 10.7776/ASK.2019.38.3.247
Choi Hun, Seol, Hanshin, I. Park, Lee Soogab
: In this study, to predict the noise of a submarine propeller which is going to become bigger and faster, the non - cavitating propeller noise was predicted based on the numerical analysis which considering the interaction of the hull - appendages - propeller. In order to predict the radiated noise of the propeller, the flow field for the entire region of hull-appendages-propeller was computed by CFD (Computational Fluid Dynamics). And the noise for the thickness noise and the load noise was numerically predicted using FW-H (Ffwocs Williams-Hawkings) acoustic analogy. Numerical noise prediction results were verified by model tests and showed good agreement with the measurement results in predicting total noise level and low frequency noise.
为了预测潜艇螺旋桨在变大变快的过程中的噪声,在数值分析的基础上,考虑了舰体附件与螺旋桨之间的相互作用,对非空泡螺旋桨噪声进行了预测。为了预测螺旋桨的辐射噪声,采用CFD (Computational Fluid Dynamics)方法对船体-附属物-螺旋桨整个区域的流场进行了计算。采用FW-H (Ffwocs WilliamsHawkings)声学类比法对厚度噪声和载荷噪声进行了数值预测。通过模型试验验证了数值噪声预测结果,在预测总噪声级和低频噪声方面与实测结果吻合较好。
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引用次数: 2
期刊
Journal of the Acoustical Society of Korea
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