基于声能流矢量补偿的水下目标高精度DOA估计

doi:10.16180/j.cnki.issn1007-7820.2020.08.006

摘要/Abstract

摘要：

针对各向异性噪声对水下目标方位估计精度产生严重干扰的问题,文中提出了一种基于声能流矢量补偿的水下目标高精度DOA估计方法。该方法基于声压和质点振速联合信息处理技术,在有效降低各向同性噪声影响的同时得到各向异性噪声源分布模型,并根据各向异性噪声场声能流模型对各向异性噪声进行矢量补偿,进一步实现了对各向异性噪声的抑制,达到高精度估计的目的。通过数值仿真对该方法的性能进行了验证。仿真结果表明,在20 dB以下,文中方法精度均高于常规复声强器DOA估计,精度最高提高了21%。

关键词: 矢量水听器, 复声强器, 多目标方位估计, 各向异性噪声, 声能流, 高精度DOA估计

Abstract:

Aiming at the problem that the anisotropic noise seriously interferes with the accuracy of underwater target DOA estimation, this paper proposed a high-precision DOA estimation method for underwater targets based on acoustic energy flux vector compensation. The method was based on the joint information processing technology of sound pressure and particle velocity, and the anisotropic noise source distribution model was obtained while effectively reducing the influence of isotropic noise. The anisotropic noise was vector compensated according to the anisotropic noise field acoustic energy flow model, which further suppressed the anisotropic noise and achieved the purpose of high-precision estimation. The numerical simulation results showed that below 20 dB the accuracy of the method was higher than that of DOA estimate of conventional complex intensity processor with the highest precision increased by 21%.

Key words: vector hydrophone, complex intensity processor, multi-target DOA estimation, anisotropic noise, acoustic energy flux, high-precision DOA estimation

中图分类号:

TN911.6

白兴宇,欧宏飞,姜煜,任龙平. 基于声能流矢量补偿的水下目标高精度DOA估计[J]. 电子科技, 2020, 33(8): 34-39.

BAI Xingyu,OU Hongfei,JIANG Yu,REN Longping. High-precision DOA Estimation of Underwater Targets Based on Acoustic Energy Flux Vector Counteraction[J]. Electronic Science and Technology, 2020, 33(8): 34-39.

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参考文献 16

[1]	彭金龙, 陈建春, 郭亚萍. 基于差分时间平滑的多径信号 DOA估计[J]. 电子科技, 2015,28(6):162-164,169.
	Peng Jinlong, Chen Jianchun, Guo Yaping. DOA estimation of multipath signals based on differential temporal smoothing[J]. Electronic Science and Technology, 2015,28(6):162-164,169.
[2]	常超. 基于微波光子技术对到达时差和抵达角的估计[J]. 电子科技, 2016,29(8):43-45.
	Chang Chao. Estimations of TDOA and AOA based on microwave photonic technology[J]. Electronic Science and Technology, 2016,29(8):43-45.
[3]	Hochwald B, Nehorai A. Identifiability in array processing models with vetor sensor applications[J]. IEEE Transactions on Signal Processing, 1996,44(1):83-95. doi: 10.1109/78.482014
[4]	杨德森, 朱中锐, 田迎泽. 矢量声呐技术理论基础及应用发展趋势[J]. 水下无人系统学报, 2018,26(3):185-192.
	Yang Desen, Zhu Zhongrui, Tian Yingze. Theoretical bases and application development trend of vector sonar technology[J]. Journal of Unmanned Undersea Systems, 2018,26(3):185-192.
[5]	孙贵青, 李启虎. 声矢量传感器研究进展[J]. 声学学报, 2004,29(6):481-490.
	Sun Guiqing, Li Qihu. Progress of study on acoustic vector sensor[J]. Acta Acustica, 2004,29(6):481-490.
[6]	孙贵青, 李启虎. 声矢量传感器信号处理[J]. 声学学报, 2004,29(6):491-498.
	Sun Guiqing, Li Qihu. Acoustic vector sensor signal processing[J]. Acta Acustica, 2004,29(6):491-498.
[7]	Felisberto P, Santos P, Jesus S M. Acoustic pressure and particle velocity for spatial filtering of bottom arrivals[J]. IEEE Journal of Oceanic Engineering, 2018(99):1-14.
[8]	Hawkes M, Nehorai A. Effects of sensor placement on acoustic vector sensor array performance[J]. IEEE Journal of Oceanic Engineering, 1999,24(1):33-40. doi: 10.1109/48.740154
[9]	Hawkes M, Nehorai A. Acoustic vector-sensor correlations in ambient noise[J]. IEEE Journal of Oceanic Engineering, 2001,26(3):337-347. doi: 10.1109/48.946508
[10]	惠俊英, 刘宏, 余华兵, 等. 声压振速联合信息处理及其物理基础初探[J]. 声学学报, 2000,25(4):303-307.
	Hui Junying, Liu Hong, Yu Huabing, et al. Study on the physical basis of pressure and particle velocity combined processing[J]. Acta Acustica, 2000,25(4):303-307.
[11]	惠俊英, 李春旭. 声压和振速联合信号处理抗相干干扰[J]. 声学学报, 2000,25(5):389-394.
	Hui Junying, Li Chunxu. With pressure and particle velocity a combined signal processing approach against coherent interference[J]. Acta Acustica, 2000,25(5):389-394.
[12]	白兴宇, 杨德森, 赵春晖. 基于声压振速联合信息处理的声矢量阵相干信号子空间方法[J]. 声学学报, 2006,31(5):410-417.
	Bai Xingyu, Yang Desen, Zhao Chunhui. The coherent signal-subspace method based on combined information processing of pressure and particle velocity using the acoustic vector sensor array[J]. Acta Acustica, 2006,31(5):410-417.
[13]	孙贵青, 杨德森, 张揽月, 等. 基于矢量水听器的最大似然比检测和最大似然方位估计[J]. 声学学报, 2003,28(1):66-72.
	Sun Guiqing, Yang Desen, Zhang Lanyue, et al. Maximum likelihood ratio detection and maximum likelihood DOA estimation based on the vector hydrophone[J]. Acta Acustica, 2003,28(1):66-72.
[14]	Shchurov V A, Kuyanova M V. Use of acoustic intensity measurement method in underwater acoustics (modern achievements and prospects)[J]. Chinese Journal of acoustics, 1999,18(4):315-326.
[15]	Shchurov V A, Ilyichev V I, Kuleshov V P. The ambient noise energy motion in the near-surface layer in ocean wave-guide[J]. Le Journal de Physique IV, 1994,4(C5):1273-1276.
[16]	李家亮, 林建恒, 郭圣明, 等. 噪声源非均匀分布海洋环境噪声水平声能流理论分析[J]. 声学学报, 2014,39(6):673-684.
	Li Jialiang, Lin Jianheng, Guo Shengming, et al. Theoretical analysis of acoustic energy flux of ocean ambient noise caused by non-uniformly distributed noise sources[J]. Acta Acustica, 2014,39(6):673-684.