Acoustic Velocity-Independent 2-D DOA Estimation for Underwater Application  被引量:1

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作  者:Gengxin Ning Zhenfeng Liao Xiaopeng Li Cui Yang 

机构地区:[1]School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510641,China [2]Key Laboratory of Marine Environmental Survey Technology and Application,Ministry of Natural Resources,Guangzhou 510300,China

出  处:《Journal of Communications and Information Networks》2022年第4期457-466,共10页通信与信息网络学报(英文)

基  金:This work was supported by the National Natural Science Foundation of China under grants of 61871191,62171187,and 62192711;the Guangdong Provincial Key Laboratory of Short-Range Wireless Detection and Communication under grant 2017B030314003;the Science and Technology Planning Project of Guangzhou under grant 201804010209。

摘  要:In this paper,an acoustic velocityindependent two-dimensional direction of arrival(2-D DOA)estimation for underwater application is presented to eliminate the effect of the inaccurate acoustic velocity estimation.According to the geometric relationship between the linear arrays,the proposed method employs the cross correlation matrix(CCM)of the data received by three crossed linear arrays to remove the acoustic velocity factor.The simulation results demonstrate that the proposed method is not susceptible to the acoustic velocity.For a single source,the proposed method outperforms the conventional method in all conditions.For multiple sources,there is a little performance degradation for the proposed method compared with the conventional method.However,the proposed method displays a better performance than the conventional method in situations where the signal to noise ratio(SNR)is extremely low or the acoustic velocity estimation error is non-negligible.Furthermore,the computational complexity of the proposed method is lower than that of the conventional method using the same amount of sensors in total,while the performance is still acceptable.

关 键 词:velocity-independent UNDERWATER 2-D DOA 

分 类 号:TN92[电子电信—通信与信息系统]

 

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