Azimuth Angle Estimation Method Based on Complex Weight Using Linear Arrays of Vector Sensors

2020 ◽  
pp. 505-512
Author(s):  
Guang-nan Shen ◽  
Pei-zi Yang ◽  
Jin-ping Li
Keyword(s):  
Estimation Method ◽  
Azimuth Angle ◽  
Angle Estimation ◽  
Linear Arrays ◽  
Vector Sensors

An improved target detection and azimuth angle estimation method using a single acoustic vector sensor

2017 ◽  
Vol 142 (4) ◽  
pp. 2587-2587 ◽  
Author(s):  
Lin Ma ◽  
Anbang Zhao ◽  
Juan Hui ◽  
Caigao Zeng ◽  
Xuejie Bi
Keyword(s):  
Target Detection ◽  
Estimation Method ◽  
Azimuth Angle ◽  
Acoustic Vector Sensor ◽  
Angle Estimation ◽  
Vector Sensor

scholarly journals SATELLITE IMAGING DIRECTION ANGLES ESTIMATION METHOD BASED ON RATIONAL POLYNOMIAL COEFFICIENTS

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 527-532
Author(s):  
H. Yi ◽  
X. Chen ◽  
D. Wang ◽  
S. Du ◽  
N. Guo ◽  
...  
Keyword(s):  
Satellite Images ◽  
Incidence Angle ◽  
Estimation Error ◽  
Estimation Method ◽  
Azimuth Angle ◽  
Camera Network ◽  
Angle Estimation ◽  
Satellite Imaging ◽  
Polynomial Coefficients ◽  
Rational Polynomial

Abstract. Satellite imaging direction angles, including the azimuth angle and the incidence angle, are the basic information used for satellite camera network structure analysis. They play an important role in 3D reconstruction using satellite images. In this paper, a satellite imaging direction angle estimation method based on rational polynomial coefficients is proposed for use when the satellite imaging direction angles are not available. Using rational polynomial coefficients, a vertical line on the ground is projected into the image plane, and the satellite imaging direction angles are estimated by analyzing the projection. Satellite images acquired by SPOT6, SOPT7 and Pleiades with different satellite imaging direction angles were used to test the feasibility of the proposed method. The experimental results were analyzed in detail combined with the method and the data. The experimental results show that the azimuth angle estimation error is less than 1.30 degrees, and the incidence angle estimation error is less than 0.83 degrees. This level of accuracy is sufficient for satellite camera network structure analysis.

Sensorless Angle Estimation Method for Brushed DC Motor using Impedance Variation by Contact Switching

2017 ◽  
Vol 137 (11) ◽  
pp. 827-836
Author(s):  
Yuki Saito ◽  
Kazuma Nakai ◽  
Hiromu Sekiguchi ◽  
Satoshi Fukushima ◽  
Takahiro Nozaki ◽  
...  
Keyword(s):  
Estimation Method ◽  
Dc Motor ◽  
Angle Estimation ◽  
Impedance Variation

scholarly journals Robust Directional Angle Estimation of Underwater Acoustic Sources Using a Marine Vehicle

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3062 ◽  
Author(s):  
Jinwoo Choi ◽  
Jeonghong Park ◽  
Yoongeon Lee ◽  
Jongdae Jung ◽  
Hyun-Taek Choi
Keyword(s):  
Source Localization ◽  
Angular Displacement ◽  
Estimation Method ◽  
Time Delay Estimation ◽  
Accurate Estimation ◽  
Acoustic Source ◽  
Angle Estimation ◽  
Underwater Acoustic ◽  
Acoustic Sources ◽  
Marine Vehicle

Acoustic source localization is used in many underwater applications. Acquiring an accurate directional angle for an acoustic source is crucial for source localization. To achieve this purpose, this paper presents a method for directional angle estimation of underwater acoustic sources using a marine vehicle. It is assumed that the vehicle is equipped with two hydrophones and that the acoustic source transmits a specific signal repeatedly. The proposed method provides a probabilistic model for time delay estimation. The probability is recursively updated by prediction and update steps. The prediction step performs a probability transition using the angular displacement of the marine vehicle. The predicted probability is updated using a generalized cross correlation function with a verification process using entropy measurement. The proposed method can provide a reliable and accurate estimation of the directional angles of underwater acoustic sources. Experimental results demonstrate good performance of the proposed probabilistic directional angle estimation method in both an inland water environment and a harbor environment.

Fast and efficient DOA estimation method for signals with known waveforms using nonuniform linear arrays

2015 ◽  
Vol 114 ◽  
pp. 265-276 ◽  
Author(s):  
Jian-Feng Gu ◽  
Wei-Ping Zhu ◽  
M.N.S. Swamy
Keyword(s):  
Estimation Method ◽  
Doa Estimation ◽  
Linear Arrays

2-D Angle Estimation with Cross Uniform Linear Arrays in Multipath Environments

2013 ◽  
Vol 7 (8) ◽  
pp. 174-181
Author(s):  
Chunhua Yu ◽  
Xinggan Zhang ◽  
Xiaojun Qiu ◽  
Lan Tang
Keyword(s):  
Angle Estimation ◽  
Linear Arrays

scholarly journals DOA Tracking of Two-Dimensional Coherent Distribution Source Based on Fast Approximated Power Iteration

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Tao Wu ◽  
Pengtao Zhang ◽  
Yiwen Li ◽  
Yangjun Gao ◽  
Chaoqi Fu ◽  
...  
Keyword(s):  
Estimation Method ◽  
Doa Estimation ◽  
Distribution Functions ◽  
Tracking Algorithm ◽  
Signal Subspace ◽  
Two Dimensional ◽  
Model Errors ◽  
Rectangular Array ◽  
Linear Arrays ◽  
Power Iteration

Aiming at two-dimensional (2D) coherent distributed (CD) sources, this paper has proposed a direction of arrival (DOA) tracking algorithm based on signal subspace updating under the uniform rectangular array (URA). First, based on the hypothesis of small angular spreads of distributed sources, the rotating invariant relations of the signal subspace of the receive vector of URA are derived. An ESPRIT-like method is constructed for DOA estimation using two adjacent parallel linear arrays of URA. Through the synthesis of estimation by multiple groups of parallel linear arrays within URA arrays, the DOA estimation method for 2D CD sources based on URA is obtained. Then, fast approximated power iteration (FAPI) subspace tracking algorithm is used to update the signal subspace. In this way, DOA tracking of 2D CD sources can be realized by DOA estimation through signal subspace updating. This algorithm has a low computational complexity and good real-time tracking performance. In addition, the algorithm can track multiple CD sources without knowing the angular signal distribution functions, which is robust to model errors.

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