High-resolution DOA Estimation Algorithm of Vector Hydrophone Based on Preselected Filter

2021 ◽  
Author(s):  
Wu Zhou ◽  
Zhenduo Wang ◽  
Zhe Xie
Keyword(s):  
High Resolution ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Vector Hydrophone

scholarly journals A Direction-of-Arrival Estimation Algorithm Based on Compressed Sensing and Density-Based Spatial Clustering and Its Application in Signal Processing of MEMS Vector Hydrophone

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2191
Author(s):  
Huichao Yan ◽  
Ting Chen ◽  
Peng Wang ◽  
Linmei Zhang ◽  
Rong Cheng ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Spatial Clustering ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Cluster Center ◽  
Direction Of Arrival Estimation ◽  
Vector Hydrophone ◽  
Regularization Parameters ◽  
Selection Of

Direction of arrival (DOA) estimation has always been a hot topic for researchers. The complex and changeable environment makes it very challenging to estimate the DOA in a small snapshot and strong noise environment. The direction-of-arrival estimation method based on compressed sensing (CS) is a new method proposed in recent years. It has received widespread attention because it can realize the direction-of-arrival estimation under small snapshots. However, this method will cause serious distortion in a strong noise environment. To solve this problem, this paper proposes a DOA estimation algorithm based on the principle of CS and density-based spatial clustering (DBSCAN). First of all, in order to make the estimation accuracy higher, this paper selects a signal reconstruction strategy based on the basis pursuit de-noising (BPDN). In response to the challenge of the selection of regularization parameters in this strategy, the power spectrum entropy is proposed to characterize the noise intensity of the signal, so as to provide reasonable suggestions for the selection of regularization parameters; Then, this paper finds out that the DOA estimation based on the principle of CS will get a denser estimation near the real angle under the condition of small snapshots through analysis, so it is proposed to use a DBSCAN method to process the above data to obtain the final DOA estimate; Finally, calculate the cluster center value of each cluster, the number of clusters is the number of signal sources, and the cluster center value is the final DOA estimate. The proposed method is applied to the simulation experiment and the micro electro mechanical system (MEMS) vector hydrophone lake test experiment, and they are proved that the proposed method can obtain good results of DOA estimation under the conditions of small snapshots and low signal-to-noise ratio (SNR).

High-Resolution DOA Estimation Algorithm for a Single Acoustic Vector Sensor at Low SNR

2020 ◽  
Vol 68 ◽  
pp. 6142-6158
Author(s):  
Jun Zhang ◽  
Xiangyuan Xu ◽  
Zhifei Chen ◽  
Ming Bao ◽  
Xiao-Ping Zhang ◽  
...  
Keyword(s):  
High Resolution ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Acoustic Vector Sensor ◽  
Low Snr ◽  
Vector Sensor

High Resolution DOA Estimation Algorithm for Underdetermined Quasi-stationary Signals

2021 ◽  
Author(s):  
Liangjun Zhang ◽  
Xin Zheng ◽  
Changyong Chen ◽  
Jiwei Tang ◽  
Jingxiao Li ◽  
...  
Keyword(s):  
High Resolution ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Stationary Signals

scholarly journals DOA Estimation of Wideband Cyclic MUSIC Algorithm under Rayleigh Fading Environment in MIMO Systems

2020 ◽  
Vol 9 (1) ◽  
pp. 1834-1837
Keyword(s):  
High Resolution ◽  
Rayleigh Fading ◽  
Array Signal Processing ◽  
Mimo Systems ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Mimo Radar ◽  
Direction Of Arrival Estimation ◽  
Music Algorithm

Direction of arrival (DOA) estimation has, for quite some time been a challenging situation in most of the wireless communication applications, radar and sonar. The resolution of the direction of arrival estimation can be increased using the help of array signal processing. The performance of the direction of arrival estimation for multiple input multiple output(MIMO) radar systems has been reviewed for cyclic Multiple Signal Classification(MUSIC), extended cyclic MUSIC and Wideband cyclic MUSIC under Rayleigh fading environment. MUSIC and its variants have been taken into consideration for the analysis as these have been a very good parameter estimation technique due its low cost, high resolution and stability. Direction of Arrival estimation clubbed with cyclostationarity has been included into the new algorithm because of its immunity to noise and interference. The new algorithm along with cyclic correlations when applied to these signals, improves the performance of the entire system substantially. The performance of this wideband cyclic MUSIC high resolution direction of arrival estimation algorithm over the Rayleigh fading is analyzed in this paper. The simulation results citing the three methods show the performance of these methods in presence of the fading environments.

Battlefield Acoustic Target Localization in Electronic Sentinel System

2012 ◽  
Vol 490-495 ◽  
pp. 1348-1352
Author(s):  
Guang Yu Liu ◽  
Cheng Zhang ◽  
Tie Lin Liu
Keyword(s):  
High Resolution ◽  
Direction Of Arrival ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Target Localization ◽  
Circular Array ◽  
Rigid Cylinder ◽  
Localization Algorithms ◽  
Acoustic Target

The problem of battlefield acoustic target localization is studied based on an array model of a uniform circular array (UCA) mounted on a rigid cylinder including beamforming technology and high resolution direction of arrival (DOA) estimation algorithm. The influence of various facts to the discussed localization algorithms is analyzed. It is concluded that the direction of the battlefield acoustic target can be achieved by the proposed high resolution DOA estimation algorithm. The performance of the eigen-beam beamforming array and the high resolution DOA estimation algorithm can be improved by the rigid cylinder.

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