Coherent Sources Multidimensional Parameters Estimation with Sparse Array of Spatially Spread Long Electric-dipoles

Binbin LI; Yuanpeng ZHANG; Hui CHEN; Qinglei DU; Weijian LIU; Mingliang ZHANG; Guimei ZHENG; Dong ZHANG

doi:10.11999/JEIT200515

Volume 43 Issue 9

Sep. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(9): 2695-2702

Binbin LI, Yuanpeng ZHANG, Hui CHEN, Qinglei DU, Weijian LIU, Mingliang ZHANG, Guimei ZHENG, Dong ZHANG. Coherent Sources Multidimensional Parameters Estimation with Sparse Array of Spatially Spread Long Electric-dipoles[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2695-2702. doi: 10.11999/JEIT200515

Citation:

Binbin LI, Yuanpeng ZHANG, Hui CHEN, Qinglei DU, Weijian LIU, Mingliang ZHANG, Guimei ZHENG, Dong ZHANG. Coherent Sources Multidimensional Parameters Estimation with Sparse Array of Spatially Spread Long Electric-dipoles[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2695-2702. doi: 10.11999/JEIT200515

Citation:

Binbin LI, Yuanpeng ZHANG, Hui CHEN, Qinglei DU, Weijian LIU, Mingliang ZHANG, Guimei ZHENG, Dong ZHANG. Coherent Sources Multidimensional Parameters Estimation with Sparse Array of Spatially Spread Long Electric-dipoles[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2695-2702. doi: 10.11999/JEIT200515

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Coherent Sources Multidimensional Parameters Estimation with Sparse Array of Spatially Spread Long Electric-dipoles

doi: 10.11999/JEIT200515

1.
Air Force Early Warning Academy, Wuhan 430019, China
2.
Air Force Engineering University, Xi'an 710051, China
3.
PLA 93557, Shijiazhuang 050700, China
4.
PLA 66135, Beijing 100041, China

Funds: The National Natural Science Foundation of China (62001510, 62071482, 61971438), The Young Science and Technology Talent Promotion Foundation of Air Force Early Warning Academy (TQGC-2021-005), The Research Program of National University of Defense Technology(ZK19-10), The Natural Science Basic Research Plan in Shaanxi Province (2019JM-155), The Young Talent Foundation of University Association for Science and Technology in Shaanxi (20180109)

Received Date: 2020-06-23
Rev Recd Date: 2020-08-18

Available Online: 2021-04-16

Publish Date: 2021-09-16

Abstract

Abstract

The radiation efficiency of large-sized ElectroMagnetic Vector Sensor (EMVS) composed of long electric-dipoles or large magnetic-loops is higher than that of small-sized EMVS. The study of its parameter estimation algorithm is helpful to promote the practical application of EMVS. To solve the problem of parameter estimation of coherent targets with sparse array of spatially spread long electric-dipoles, a high accuracy and unambiguous closed multi-dimensional parameter solution algorithm is proposed. First, the high accuracy and periodically ambiguous direction-cosine estimations are obtained by using the spatial rotation invariance and the internal attributes of a single vector sensor. Then, the two-dimensional direction of arrival coarse estimations are derived based on the steering vector of a single vector sensor. Finally, the high accuracy and unambiguous multi-dimensional parameter estimations are obtained with disambiguation method. This proposed algorithm avoids the loss of polarization information and iterative search process of the traditional polarization smoothing algorithm, and can realize automatic matching of parameters. The computer simulation results show the effectiveness of the proposed algorithm in decoherence of the separated long electric dipole array.
- Spatially spread long electric-dipoles,
- Spatial smoothing,
- Coherent source,
- Parameter estimation

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References(18)

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