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An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System
- Source :
- Sensors; Volume 17; Issue 2; Pages: 412, Sensors, Vol 17, Iss 2, p 412 (2017), Sensors (Basel, Switzerland)
- Publication Year :
- 2017
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2017.
-
Abstract
- In this paper, an improved azimuth angle estimation method with a single acoustic vector sensor (AVS) is proposed based on matched filtering theory. The proposed method is mainly applied in an active sonar detection system. According to the conventional passive method based on complex acoustic intensity measurement, the mathematical and physical model of this proposed method is described in detail. The computer simulation and lake experiments results indicate that this method can realize the azimuth angle estimation with high precision by using only a single AVS. Compared with the conventional method, the proposed method achieves better estimation performance. Moreover, the proposed method does not require complex operations in frequency-domain and achieves computational complexity reduction.
- Subjects :
- Passive Method
matched filtering
Engineering
Computational complexity theory
Acoustic vector sensor
Acoustics
Filtering theory
02 engineering and technology
lcsh:Chemical technology
01 natural sciences
Biochemistry
Article
active sonar detection system
single AVS
azimuth angle estimation
complex acoustic intensity measurement
time-domain processing
Analytical Chemistry
Reduction (complexity)
0202 electrical engineering, electronic engineering, information engineering
Computer vision
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
business.industry
010401 analytical chemistry
020206 networking & telecommunications
Sound intensity
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Azimuth
Artificial intelligence
Marine mammals and sonar
business
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Database :
- OpenAIRE
- Journal :
- Sensors; Volume 17; Issue 2; Pages: 412
- Accession number :
- edsair.doi.dedup.....c43331a83b6b45d3cf0e27117a33638d
- Full Text :
- https://doi.org/10.3390/s17020412