Low complexity DOA estimation for massive UCA with single snapshot

doi:10.23919/JSEE.2022.000003

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (1): 22-27.doi: 10.23919/JSEE.2022.000003

• ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

Low complexity DOA estimation for massive UCA with single snapshot

Ping LI(), Jianfeng LI*(), Gaofeng ZHAO()

¹ College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received:2020-12-07 Online:2022-01-18 Published:2022-02-22
Contact: Jianfeng LI E-mail:liping3216@163.com;lijianfeng@nuaa.edu.cn;zhaogaofeng@nuaa.edu.cn
About author:|LI Ping was born in 1996. He received his B.S degree in electronic information engineering from Hohai University in 2019. Currently he is studying towards his M.S. degree in the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics. His research interest is array signal processing. E-mail: liping3216@163.com||LI Jianfeng was born in 1988. He received his B.S. degree in communication engineering and Ph.D. degree in communication and information system from Nanjing University of Aeronautics and Astronautics in 2010 and 2015 respectively. Currently he is an associate professor in Nanjing University of Aeronautics and Astronautics. His research interests include array signal processing, emitter direction finding and positioning, MIMO radar signal processing. E-mail: lijianfeng@nuaa.edu.cn||ZHAO Gaofeng was born in 1995. He received his B.S degree in communication engineering from Jilin University in 2019. Currently he is studying for his master’s degree in communication and information system of Nanjing University of Aeronautics and Astronautics. His research interests include array signal processing, direct localization and compressed sensing. E-mail: zhaogaofeng@nuaa.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61971217; 61601167), Jiangsu Planned Project for Postdoctoral Research Funds (2020Z013), China Postdoctoral Science Foundation (2020M681585), the fund of State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE 2021Z0101B), and the fund of State Key Laboratory of Marine Resource Utilization in South China Sea (Hainan University) (MRUKF2021033)

Abstract

Abstract:

In this paper, a low complexity direction of arrival (DOA) estimation method for massive uniform circular array (UCA) with single snapshot is proposed. Firstly, the coarse DOAs are estimated by finding the peaks from the circular convolution between a fixed coefficient vector and the received data vector. Thereafter, in order to refine coarse DOA estimates, we reconstruct the direction matrix based on the coarse DOA estimations and take the first order Taylor expansion with DOA estimation offsets into account. Finally, the refined estimations are obtained by compensating the offsets, which are obtained via least squares (LS) without any complex searches. In addition, the refinement can be iteratively implemented to enhance the estimation results. Compared to the offset search method, the proposed method achieves a better estimation performance while requiring lower complexity. Numerical simulations are presented to demonstrate the effectiveness of the proposed method.

Key words: direction of arrival (DOA) estimation, massive uniform circular array, Taylor expansion, low complexity

Ping LI, Jianfeng LI, Gaofeng ZHAO. Low complexity DOA estimation for massive UCA with single snapshot[J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 22-27.

Figures/Tables 7

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References 30

1	KOC A, MASMOUDI A, LE-NGOC T Hybrid beamforming for uniform circular arrays in multi-user massive MIMO systems. Proc. of the IEEE Canadian Conference of Electri-cal and Computer Engineering, 2019, 1- 4.
2	JING H Y, CHENG W C, XIA X G A simple channel independent beamforming scheme with parallel uniform circular array. IEEE Communications Letters, 2019, 23 (3): 414- 417. doi: 10.1109/LCOMM.2019.2892114
3	ZHANG J, GE X H, LI Q, et al 5G millimeter-wave antenna array: design and challenges. IEEE Wireless Communications, 2017, 24 (2): 106- 112. doi: 10.1109/MWC.2016.1400374RP
4	ZHOU L, OHASHI Y Low complexity millimeter-wave LOS-MIMO precoding systems for uniform circular arrays. Proc. of the IEEE Wireless Communications & Networking Conference, 2014, 1293- 1297.
5	WANG P, LI Y H, VUCETIC B Millimeter wave communications with symmetric uniform circular antenna arrays. IEEE Communications Letters, 2014, 18 (8): 1307- 1310. doi: 10.1109/LCOMM.2014.2332334
6	CAI X S, FAN W A complexity-efficient high resolution propagation parameter estimation algorithm for ultra-wideband large-scale uniform circular array. IEEE Trans. on Communications, 2019, 67 (8): 5862- 5874. doi: 10.1109/TCOMM.2019.2916700
7	LIU C, ZHAO H Q Efficient DOA estimation method using bias-compensated adaptive filtering. IEEE Trans. on Vehicular Technology, 2020, 69 (11): 13087- 13097. doi: 10.1109/TVT.2020.3020946
8	WU X H, YAN J Gridless mixed sources localization based on low-rank matrix reconstruction. IEEE Wireless Communication Letters, 2020, 9 (10): 1748- 1752. doi: 10.1109/LWC.2020.3003446
9	MESTRE X, VALLET P On the resolution probability of conditional and unconditional maximum likelihood DoA Estimation. Proc. of the 21st European Signal Processing Conference, 2013, 4656- 4671.
10	LIANG Y, MENG Z, CHEN Y, et al A DOA estimation algorithm for the vertical line array of vector hydrophone based on data fusion method. Proc. of the 3rd IEEE International Conference on Information Communication and Signal Processing, 2020, 108- 112.
11	WANG W Q, GUI R, XU J Computational efficient DOA, DOD, and Doppler estimation algorithm for MIMO radar. IEEE Signal Processing Letters, 2019, 26 (1): 44- 48. doi: 10.1109/LSP.2018.2879546
12	WAN L T, HAN G J, LEI S, et al The application of DOA estimation approach in patient tracking systems with high patient density. IEEE Trans. on Industrial Informatics, 2016, 12 (6): 2353- 2364. doi: 10.1109/TII.2016.2569416
13	HUA C, WANG W F, LIU W Augmented quaternion ESPRIT-type DOA estimation with a crossed-dipole array. IEEE Communications Letters, 2020, 24 (3): 548- 552. doi: 10.1109/LCOMM.2019.2962463
14	HE D, CHEN X, PEI L, et al Multi-BS spatial spectrum fusion for 2D DOA estimation and localization by using UCA in massive MIMO system. IEEE Trans. on Instrumentation and Measurement, 2020, 70 (99): 1- 13.
15	SCHMIDT R, SCHMIDT R O Multiple emitter location and signal parameter estimation. IEEE Trans. on Antennas & Propagation, 1986, 34 (3): 276- 280.
16	AMINE I M, SEDDIK B 2-D DOA estimation using MUSIC algorithm with uniform circular array. Proc. of the 4th IEEE International Colloquium on Information Science and Technology, 2016, 850- 853.
17	HU W W, WANG Q DOA estimation for UCA in the presence of mutual coupling via error model equivalence. IEEE Wireless Communications Letters, 2020, 9 (1): 121- 124. doi: 10.1109/LWC.2019.2944816
18	MATHEWS C P, ZOLTOWSKI M D Eigenstructure techniques for 2-D angle estimation with uniform circular arrays. IEEE Trans. on Signal Processing, 1994, 42 (9): 2395- 2407. doi: 10.1109/78.317861
19	MATHEWS C P, ZOLTOWSKI M D Performance analysis of the UCA-ESPRIT algorithm for circular ring arrays. IEEE Trans. on Signal Processing, 1994, 42 (9): 2535- 2539. doi: 10.1109/78.317881
20	JIANG G J, MAO X P, LIU Y T Reducing errors for root-MUSIC-based methods in uniform circular arrays. IET Signal Processing, 2018, 12 (1): 31- 36. doi: 10.1049/iet-spr.2016.0576
21	GUY J R F, DAVIES D E N UHF circular arrays incorporating open-loop null steering for communications. IEE Proceedings H-Microwaves, Optics and Antennas, 2008, 130 (1): 67- 77.
22	DAVIES D A transformation between the phasing techniques required for linear and circular aerial arrays. Proc. of the Institution of Electrical Engineers, 2010, 112 (11): 2041- 2045.
23	BELLONI F, KOIVUNEN V Beamspace transform for UCA: error analysis and bias reduction. IEEE Trans. on Signal Processing, 2006, 54 (8): 3078- 3089. doi: 10.1109/TSP.2006.877664
24	PESAVENTO M, BOHME J F Direction of arrival estimation in uniform circular arrays composed of directional elements. Proc. of the IEEE Sensor Array & Multichannel Signal Processing Workshop, 2002, 503- 507.
25	JACKSON B R, RAJAN S, LIAO B J, et al Direction of arrival estimation using directive antennas in uniform circular arrays. IEEE Trans. on Antennas & Propagation, 2015, 63 (2): 736- 747.
26	WAX M, SHEINVALD J Direction finding of coherent signals via spatial smoothing for uniform circular arrays. IEEE Trans. on Antennas & Propagation, 2002, 42 (5): 613- 620.
27	CAO R Z, LIU B Y, GAO F F, et al A low-complex one-snapshot DOA estimation algorithm with massive ULA. IEEE Communications Letters, 2017, 21 (5): 1071- 1074. doi: 10.1109/LCOMM.2017.2652442
28	LI Q, SU T, WU K Accurate DOA estimation for large-scale uniform circular array using a single snapshot. IEEE Communications Letters, 2019, 23 (2): 302- 305.
29	CHAN S C, CHEN H H Uniform concentric circular arrays with frequency-invariant characteristics−theory, design, adaptive beamforming and DOA estimation. IEEE Trans. on Signal Processing, 2007, 55 (1): 165- 177. doi: 10.1109/TSP.2006.882109
30	ZISKIND I, WAX M Maximum likelihood localization of multiple sources by alternating projection. IEEE Trans. on Acoustics, Speech, and Signal Processing, 1988, 36 (10): 1553- 1560. doi: 10.1109/29.7543

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[2]	Zhengyan ZHANG, Jianyun ZHANG. Tracking multiple targets in MIMO radar via adaptive asymmetric joint diagonalization with deflation [J]. Journal of Systems Engineering and Electronics, 2018, 29(4): 731-741.
[3]	Jingjing Cai, Dan Bao, and Peng Li. DOA estimation via sparse recovering from the smoothed covariance vector [J]. Systems Engineering and Electronics, 2016, 27(3): 555-561.
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Low complexity DOA estimation for massive UCA with single snapshot

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