Computationally efficient 2D direction finding and polarization estimation with arbitrarily spaced electromagnetic vector sensors at unknown locations using the propagator method

2009 ◽  
Vol 19 (3) ◽  
pp. 491-503 ◽  
Author(s):  
Jin He ◽  
Zhong Liu
Keyword(s):  
Direction Finding ◽  
Computationally Efficient ◽  
Vector Sensors ◽  
Propagator Method ◽  
Polarization Estimation

scholarly journals Direction Finding of Coherent Sources Using a MIMO Array of Triaxial Velocity Sensors

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Yuwei Song ◽  
Guoping Hu ◽  
Guimei Zheng
Keyword(s):  
Cross Correlation ◽  
Correlation Coefficients ◽  
Direction Finding ◽  
Covariance Matrices ◽  
Smoothing Algorithm ◽  
Arbitrary Configuration ◽  
Effective Aperture ◽  
Vector Sensors ◽  
Coherent Sources ◽  
Simulation Results

In the received side, triaxial velocity sensors of MIMO array are used to solve the problem of coherent source direction-finding in this paper. A new velocity field smoothing algorithm is presented to decorrelate coherent sources. The identically oriented velocity sensors of whole array are divided into three subarrays. Then, the covariance matrices of the three subarrays are smoothed to restore the rank of source covariance matrix (SCM). Lastly, the cross-correlation coefficients of the SCM after smoothing processing are calculated to analyze the performance of decorrelation. The proposed decorrelation algorithm (1) does not need the information of locations of velocity vector sensors; (2) is suitable for arbitrary configuration array; and (3) has no loss of array effective aperture. Simulation results prove the effectiveness of the proposed algorithm.

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