An Accurate Near-Field Distance Estimation Differential Algorithm

ZHAO Yan; TAO Haihong; CHANG Xin

doi:10.1049/cje.2021.00.174

Volume 31 Issue 5

Sep. 2022

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Article Navigation > Chinese Journal of Electronics > 2022 > 31(5): 851-859

ZHAO Yan, TAO Haihong, CHANG Xin, “An Accurate Near-Field Distance Estimation Differential Algorithm,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 851-859, 2022, doi: 10.1049/cje.2021.00.174

Citation:

ZHAO Yan, TAO Haihong, CHANG Xin, “An Accurate Near-Field Distance Estimation Differential Algorithm,” Chinese Journal of Electronics, vol. 31, no. 5, pp. 851-859, 2022, doi: 10.1049/cje.2021.00.174

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An Accurate Near-Field Distance Estimation Differential Algorithm

doi: 10.1049/cje.2021.00.174

ZHAO Yan^{1, 2
,},
TAO Haihong^1
,,
CHANG Xin^3
,

1.
National Key Laboratory of Radar Signal Processing, Xidian Univercity, Xi’an 710071, China
2.
The 54th Research Institute, China Electronics Technology Group Corporation, Shijiazhuang 050081, China
3.
School of Electronic Engineering, Xidian University, Xi’an 710071, China

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Author Bio:
(corresponding author) was born in Gansu Province, China, in 1981. He received the B.E. and M.S. degrees from School of Electronic Engineering, Xidian University, China, in 2003 and 2009, respectively. He is pursuing his Ph.D. degree in National Key Laboratory of Radar Signal Processing, Xidian Univercity. His research interests include array signal processing and radar signal processing. (Email: piklas@ 163.com)

received the M.S. and Ph.D. degrees from School of Electronic Engineering, Xidian University, China, in 2000 and 2004, respectively. She is currently a Professor with the School of Electronic Engineering, Xidian University. Her research interests include radar signal processing and array signal processing

was born in Hebei Province, China, in 1990. He received the B.S. degree in electrical engineering from Handan University, Handan, China, in 2014, the M.E. degree in electronics and communication engineering from School of Electronic Engineering, Xidian University, China, in 2017, and the Ph.D. degree in electronics science and technology from School of Electronic Engineering, Xidian University, in 2020. He is a Postdoctor with The 54th Research Institute of China Electronics Technology Group Corporation and Xidian University. His main research interests are electronic countermeasure (ECM), electronic warfare system simulation and cognitive electronic warfare
Received Date: 2021-05-16
Accepted Date: 2022-02-11

Available Online: 2022-03-28

Publish Date: 2022-09-05

Abstract

Abstract

The triangular geometry is the basis of near field array accurate distance estimation algorithms. The Fisher expression of traditional distance estimation is derived by utilizing the Taylor series. To improve convergence rate and estimation accuracy, a novel iterative distance estimation algorithm is proposed with differential equations based on the triangular geometry. Firstly, its convergence performance is analysed in detail. Secondly, the selection of the initial value and the number of iterations are respectively studied. Thirdly, compared with the traditional estimation algorithms by utilizing the Fisher approximation, the proposed algorithm has a higher convergence rate and estimation accuracy. Moreover, its pseudocode is presented. Finally, the experiment results and performance analysis are provided to verify the effectiveness of the proposed algorithm.
- Distance estimation,
- Near field,
- Fisher approximation,
- Differential equations,
- Taylor series expansion

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References(25)

References

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