Passive Direction Finding Using Airborne Vector Sensors in the Presence of Manifold Perturbations

Hasan S. Mir; John D. Sahr

doi:10.1109/tsp.2006.882056

Passive Direction Finding Using Airborne Vector Sensors in the Presence of Manifold Perturbations

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2006.882056 ◽

2007 ◽

Vol 55 (1) ◽

pp. 156-164 ◽

Cited By ~ 23

Author(s):

Hasan S. Mir ◽

John D. Sahr

Keyword(s):

Direction Finding ◽

Vector Sensors

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

Mathematical Problems in Engineering ◽

10.1155/2019/7010389 ◽

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

Digital Signal Processing ◽

10.1016/j.dsp.2008.01.002 ◽

2009 ◽

Vol 19 (3) ◽

pp. 491-503 ◽

Cited By ~ 26

Author(s):

Jin He ◽

Zhong Liu

Keyword(s):

Direction Finding ◽

Computationally Efficient ◽

Vector Sensors ◽

Propagator Method ◽

Polarization Estimation

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Closed-form direction-finding with arbitrarily spaced electromagnetic vector-sensors at unknown locations

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) ◽

10.1109/icassp.1998.681445 ◽

2002 ◽

Cited By ~ 10

Author(s):

K.T. Wong ◽

M.D. Zoltowski

Keyword(s):

Closed Form ◽

Direction Finding ◽

Vector Sensors

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A multi-set approach for direction finding based on spatially displaced electromagnetic vector-sensors

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) ◽

10.1109/fskd.2015.7382224 ◽

2015 ◽

Author(s):

Meijiao Ji ◽

Xiaofeng Gong ◽

Qiuhua Lin

Keyword(s):

Direction Finding ◽

Vector Sensors

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Closed-form direction finding and polarization estimation with arbitrarily spaced electromagnetic vector-sensors at unknown locations

IEEE Transactions on Antennas and Propagation ◽

10.1109/8.855485 ◽

2000 ◽

Vol 48 (5) ◽

pp. 671-681 ◽

Cited By ~ 142

Author(s):

K.T. Wong ◽

M.D. Zoltowski

Keyword(s):

Closed Form ◽

Direction Finding ◽

Vector Sensors ◽

Polarization Estimation

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Virtual-manifold ambiguity in HOS-based direction-finding with electromagnetic vector-sensors

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2008.4667710 ◽

2008 ◽

Vol 44 (4) ◽

pp. 1291-1308 ◽

Cited By ~ 19

Author(s):

Yougen Xu ◽

Zhiwen Liu ◽

K.T. Wong ◽

Jinliang Cao

Keyword(s):

Direction Finding ◽

Vector Sensors

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A Multiscale Sparse Array of Spatially Spread Electromagnetic-Vector-Sensors for Direction Finding and Polarization Estimation

IEEE Access ◽

10.1109/access.2018.2799905 ◽

2018 ◽

Vol 6 ◽

pp. 9807-9818 ◽

Cited By ~ 14

Author(s):

Minglei Yang ◽

Jin Ding ◽

Baixiao Chen ◽

Xin Yuan

Keyword(s):

Direction Finding ◽

Sparse Array ◽

Vector Sensors ◽

Polarization Estimation

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Sparse Nested Arrays with Spatially Spread Square Acoustic Vector Sensors for High Accuracy Underdetermined Direction Finding

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2021.3057682 ◽

2021 ◽

pp. 1-1

Author(s):

Jin He ◽

Linna Li ◽

Ting Shu

Keyword(s):

Direction Finding ◽

High Accuracy ◽

Vector Sensors ◽

Nested Arrays

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ESPRIT-based 2-D direction finding with a sparse uniform array of electromagnetic vector sensors

IEEE Transactions on Signal Processing ◽

10.1109/78.852000 ◽

2000 ◽

Vol 48 (8) ◽

pp. 2195-2204 ◽

Cited By ~ 141

Author(s):

M.D. Zoltowski ◽

K.T. Wong

Keyword(s):

Direction Finding ◽

Vector Sensors ◽

Uniform Array

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Direction finding via biquaternion matrix diagonalization with vector-sensors

Signal Processing ◽

10.1016/j.sigpro.2010.08.015 ◽

2011 ◽

Vol 91 (4) ◽

pp. 821-831 ◽

Cited By ~ 23

Author(s):

Xiao-Feng Gong ◽

Zhi-Wen Liu ◽

You-Gen Xu

Keyword(s):

Direction Finding ◽

Vector Sensors ◽

Matrix Diagonalization

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