干扰抑制门在线谱提取中的应用

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振动与冲击 ›› 2019, Vol. 38 ›› Issue (23) : 253-258.

论文

干扰抑制门在线谱提取中的应用

牛芳1,2,3，惠娟1,2,3，赵安邦1,2,3,4

作者信息 +

Application of interference suppression gate in line spectrum extraction

NIU Fang1, 2, 3, HUI Juan1, 2, 3, ZHAO Anbang1, 2, 3, 4

Author information +

文章历史 +

摘要

由于舰船辐射噪声和海洋环境噪声的复杂性，直接从舰船辐射噪声解调信号中提取线谱比较困难。为了降低线谱提取过程中宽带噪声干扰的影响，设计了一个干扰抑制门。对单频输入信号和谐波输入信号的仿真，验证了抑制算法的有效性，同时对干扰抑制门的信噪比增益进行了统计分析。对实测舰船辐射噪声数据处理，结果表明干扰抑制门的应用能有效降低信号中的宽带干扰，为线谱提取提供便利。从线谱中提取的螺旋桨轴频可作为舰船目标分类和识别的特征量。干扰抑制门算法亦可用于线谱检测。

Abstract

Due to complexity of ship radiated noise and marine environment noise, it is difficult to directly extract line spectra from demodulated signals of ship radiated noise.Here, an interference suppression gate was designed to suppress broadband noise interference in line spectrum extraction.Simulations for single-frequency input signal and harmonic input one verified the effectiveness of the suppression algorithm.Moreover, statistical analysis was performed for the output signal to noise ratio (SNR) gain of the interference suppression gate.The processing results of actual ship radiated noise data showed that application of interference suppression gate can effectively reduce broadband noise interference, and provide convenience for line spectrum extraction; the extracted propeller shaft frequency can be taken as a feature quantity for ship target classification and recognition; the interference suppression gate algorithm can also be applied in line spectrum detection.

导出引用

牛芳1,2,3，惠娟1,2,3，赵安邦1,2,3,4. 干扰抑制门在线谱提取中的应用[J]. 振动与冲击, 2019, 38(23): 253-258

NIU Fang1, 2, 3, HUI Juan1, 2, 3, ZHAO Anbang1, 2, 3, 4. Application of interference suppression gate in line spectrum extraction[J]. Journal of Vibration and Shock, 2019, 38(23): 253-258

参考文献

[1] Yüksel G K, Yalıtuna B, Ömer Faruk Tartar, et al. Ship recognition and classification using silhouettes extracted from optical images[C]// Signal Processing and Communication Application Conference. IEEE, 2016:1617-1620.
[2] 王本刚，董大群，谢松云. 基于功率谱估计的舰船噪声特征提取及声场通过特性仿真[J]. 系统仿真学报，2002, 14(1):25-26.
WANG Ben-gang, DONG Da-gang, XIE Song-yun. Object’s Through Signature Simulation Based on Power Spectrum Density Estimation [J]. JOURNAL OF SYSTEM SIMULATION, 2002, 14(1): 25-26.
[3] 章新华，王骥程，林良骥. 基于小波变换的舰船辐射噪声特征提取[J]. 声学学报，1997, 22(2): 139-144.
ZHANG Xin-hua，WANG Ji-cheng，LIN Liang-ji. Feature extraction of ship radiated noises based on wavelet transform [J]. ACTA ACUSTICA, 1997, 22(2): 139-144．
[4] 杨宏，李亚安，李国辉. 基于集合经验模态分解的舰船辐射噪声能量分析[J]. 振动与冲击，2015, 34(16): 55-59.
LI Hong, LI Ya-an, LI Guo-hui. Energy analysis of ship radiated noise based on ensemble empirical mode decomposition [J]. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(16): 55-59
[5] 李余兴，李亚安，陈晓. 基于EEMD的舰船辐射噪声特征提取方法研究[J]. 振动与冲击，2017, 36(5): 114-119.
LI Yu-xing, LI Ya-an, CHEN Xiao. Ships’ radiated noise feature extraction based on EEMD [J]. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(5): 114-119.
[6] 李亚安，徐德民. 基于Lyapunov指数的水下目标信号混沌特征提取[J]. 西北工业大学学报，2002, 20(4): 633-636.
LI Ya-an, XU De-min. A New Method for Feature Extraction of Ship Signals [J]. Journal of Northwestern Polytechnical University. 2002, 20(4): 633-636.
[7] 孟庆昕，杨士莪，朴胜春，等. 水面目标信号预测与识别方法[J]. 哈尔滨工程大学学报, 2016, 37(1):1-6.
MENG Qing-xin, YANG Shi-e, PIAO Sheng-chun, et al. Prediction and recognition method for signals of targets on the water surface [J]. Journal of Harbin Engineering University, 2016, 37(1):1-6.
[8] 陆振波，章新华，胡洪波. 水中目标辐射噪声的听觉特征提取[J]. 系统工程与电子技术，2004, 26(12):1801-1803.
LU Zhen-bo, ZHANG Xin-hua, HU Hong-bo. Auditory feature extraction of noise radiated from an underwater target [J]. Systems Engineering and Electronics, 2004, 26(12): 1801-1803.
[9] 朱健楠，杨益新. Gammatone倒谱特征提取的改进方法[J]. 声学技术，2015, 34(6): 27-278.
ZHU Jian-nan, YANG Yi-xin. Improved algorithm of feature recognition based on the gammatone filter [J]. Technical Acoustics, 2015, 34(6): 27-278.
[10] 王德昭，尚尔昌. 水声学（第二版）[M]. 北京: 科学出版社, 2013: 345-349.
[11] 沈广楠. 舰船目标识别技术研究[D]. 哈尔滨: 哈尔滨工程大学，2012.
[12] Niu F, Hui J, Cui H, et al. Sea trial researches on extraction of propeller shaft frequency[C]// International Conference on Mechatronic Sciences, Electric Engineering and Computer. IEEE, 2014: 1306-1309.
[13] 王金昌，陈克安. 基于听觉感知的不同航速稳态舰船噪声合成[J]. 声学技术，2012, 31(5):453-458.
WANG Jin-chang, CHEN Ke-an. Auditory perception based steady ship noise synthesis at different speeds [J]. Technical Acoustics, 2012, 31(5): 453-458.
[14] Widrow B, Glover J R, McColl J M, et al. Adaptive noise canceling principles and applications [J]. Proceedings of IEEE, 1975, 63(4): 1692-1716.
[15] 王蓬,宋明玉,张林芳,等. 广义自适应相干累积算法改进及其在线谱增强中的应用[J].声学技术,2007,26(05):919-923.
WANG Peng, SONG Ming-yu, ZHANG Lin-fang, et al. Improving generalized adaptive coherent integration with application to adaptive line enhancement [J]. Technical Acoustics, 2007, 26 (05): 919-923.
[16] 王彦,马章勇,黄建人.一种采用两个相干累加器提高自适应谱线增强器性能的方法[J].声学技术,2003,22(01):8-10.
WANG Yan, MA Zhang-yong, HUANG Jian-ren. A method for improving the performance of ALE using two coherent accumulators [J]. Technical Acoustics, 2003, 22(01): 8-10.
[17] 罗斌,王茂法,王世闯.一种高效的弱目标线谱检测算法[J].声学技术,2017,36(02):171-176.
LUO Bin, WANG Mao-fa, WANG Shi-chuang. A highly efficient weak target line-spectrum detection algorithm [J]. Technical Acoustics, 2017, 36(02): 171-176.
[18] 殷敬伟，惠俊英，姚直象，等. 基于DEMON线谱的轴频提取方法研究[J]. 应用声学，2005, 24(6): 369-374.
YIN Jing-wei, HUI Jun-ying, YAO Zhi-xiang, et al. Extraction of shaft frequency based on the DEMON line spectrum [J]. Applied Acoustics, 2005, 24(6): 369-374