Beidou receiver based on anti-jamming antenna arrays with self-calibration for precise relative positioning

doi:10.23919/JSEE.2024.000013

Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (5): 1132-1147.doi: 10.23919/JSEE.2024.000013

收稿日期:2022-05-14 接受日期:2023-12-14 出版日期:2024-10-18 发布日期:2024-11-06

Beidou receiver based on anti-jamming antenna arrays with self-calibration for precise relative positioning

Yi AN(), Ronglei KANG(), Yalong BAN(), Shaoshuai YANG()

The 10th Research Institute, China Electronics Technology Group Corporation, Chengdu 610036, China

Received:2022-05-14 Accepted:2023-12-14 Online:2024-10-18 Published:2024-11-06
Contact: Yi AN E-mail:mranyi@163.com;kangronglei@qq.com;yalong_ban@qq.com;juipop@163.com
About author:
AN Yi was born in 1983. He received his Ph.D. degree from Beijing Jiao Tong University, Beijing, China, in 2015. He is a senior engineer in Southwest China Institute of Electronic Technology, Chengdu. His research interests include array signal processing, satellite navigation and positioning. E-mail: mranyi@163.com

KANG Ronglei was born in 1984. He received his M.S. degree from University of Electronic Science and Technology of China, Chengdu, China, in 2009. He is a senior engineer in Southwest China Institute of Electronic Technology, Chengdu. His research interests include satellite navigation and communication system. E-mail: kangronglei@qq.com

BAN Yalong was born in 1987. He received his Ph.D. degree from Wuhan University, Wuhan, China, in 2016. He is a senior engineer in Southwest China Institute of Electronic Technology, Chengdu. His research interests include inertial navigation and integrated navigation. E-mail: yalong_ban@qq.com

YANG Shaoshuai was born in 1988. He received his M.S. degree from Beihang University, Beijing, China, in 2013. He is an engineer in Southwest China Institute of Electronic Technology, Chengdu. His research interests include integrated navigation and relative navigation. E-mail: juipop@163.com
Supported by:
This work was supported by the Key Research and Development Program of Science & Technology Department of Sichuan Province (2021YFG0155), and the Technical Innovation Fund of Southwest China Institute of Electronic Technology (H21004.2).

摘要/Abstract

Abstract:

Unmanned aerial vehicles (UAVs) may be subjected to unintentional radio frequency interference (RFI) or hostile jamming attack which will lead to fail to track global navigation satellite system (GNSS) signals. Therefore, the simultaneous realization of anti-jamming and high-precision carrier phase difference positioning becomes a dilemmatic problem. In this paper, a distortionless phase digital beamforming (DBF) algorithm with self-calibration antenna arrays is proposed, which enables to obtain distortionless carrier phase while suppressing jamming. Additionally, architecture of high precision Beidou receiver based on anti-jamming antenna arrays is proposed. Finally, the performance of the algorithm is evaluated, including antenna calibration accuracy, carrier phase distortionless accuracy, and carrier phase measurement accuracy without jamming. Meanwhile, the maximal jamming to signal ratio (JSR) and real time kinematic (RTK) positioning accuracy under wideband jamming are also investigated. The experimental results based on the real-life Beidou signals show that the proposed method has an excellent performance for precise relative positioning under jamming when compared with other anti-jamming methods.

Key words: Beidou receiver, antenna array, anti-jamming, high precision, distortionless carrier phase

. [J]. Journal of Systems Engineering and Electronics, 2024, 35(5): 1132-1147.

Yi AN, Ronglei KANG, Yalong BAN, Shaoshuai YANG. Beidou receiver based on anti-jamming antenna arrays with self-calibration for precise relative positioning[J]. Journal of Systems Engineering and Electronics, 2024, 35(5): 1132-1147.

图/表 20

参考文献 28

1	GOLD K, BROWN A. An array of digital antenna elements for mitigation of multipath for carrier landings. Proc. of the National Technical Meeting of the Institute of Navigation, 2005: 190−196.
2	ZHEN Z Y, WANG X H, JIANG J D, et al Research progress in guidance and control of automatic carrier landing of carrier-based aircraft. Acta Aeronautica et Astronautica Sinica, 2017, 38 (2): 020435.
3	GUAN Z Y, LIU H, ZHENG Z W, et al Fixed-time control for automatic carrier landing with disturbance. Aerospace Science and Technology, 2021, 108, 106403.
4	YAKIMENKO O A, KAMINER I I, LENTZ W J, et al Unmanned aircraft navigation for shipboard landing using infrared vision. IEEE Trans. on Aerospace and Electronic Systems, 2002, 38 (4): 1181- 1200. doi: 10.1109/TAES.2002.1145742
5	XU G L, ZHANG Y, JI S Y, et al Research on computer vision-based for UAV autonomous landing on a ship. Pattern Recognition Letters, 2009, 30, 600- 605. doi: 10.1016/j.patrec.2008.12.011
6	KONG W W, ZHOU D L, ZHANG D B, et al. Vision-based autonomous landing system for unmanned aerial vehicle: a survey. Proc. of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014. DOI: 10.1109/MFI.2014.6997750.
7	BU C Y, AI Y F, DU H J. Vision-based autonomous landing for rotorcraft unmanned aerial vehicle. Proc. of the IEEE International Conference on Vehicular Electronics and Safety, 2016: 78−82.
8	LIU S M, ZHENG Z W, GUAN Z Y, et al. Image-based visual servoing control for automatic carrier landing. Proc. of the 40th Chinese Control Conference, 2021: 351−356.
9	RIFE J, KHANAFSEH S, PULLEN S, et al Navigation, interference suppression, and fault monitoring in the sea-based joint precision approach and landing system. Proceeding of the IEEE, 2008, 96 (12): 1958- 1975. doi: 10.1109/JPROC.2008.2006107
10	DEMOZ G E, SHAO Y F Model for JPALS/SRGPS flexure and attitude error allocation. IEEE Trans. on Aerospace and Electronic Systems, 2010, 46 (2): 483- 494. doi: 10.1109/TAES.2010.5461636
11	FENG T, MAO X Multimodal data fusion for SB-JPALS status prediction under antenna motion fault mode. Neurocomputing, 2017, 259, 46- 54. doi: 10.1016/j.neucom.2016.08.126
12	MA L, LI G W, XU L N, et al. A generation of glidepath and guidance parameters of shipboard aircraft based on SRGPS. Proc. of the IEEE CSAA Guidance, Navigation and Control Conference, 2018. DOI: 10.1109/GNCC42960.2018.9019040.
13	KIM U S, AKOS D, ENGE P, et al. Simulation and validation of a GPS antenna array concept for JPALS application. Proc. of the 16th International Technical Meeting of the Satellite Division of the Institute of Navigation, 2003: 1852−1860.
14	LORENZO D, GAUTIER J, ENGE P, et al. GPS receiver architecture effects on controlled reception pattern antennas for JPALS. Proc. of the 17th International Technical Meeting of the Satellite Division, 2004: 2010−2020.
15	MCGRAW G A, YOUNG R S Y, REICHENAUER K, et al. GPS multipath mitigation assessment of digital beam forming antenna technology in a JPALS dual frequency smoothing architecture. Proc. of the National Technical Meeting of the Institute of Navigation, 2004: 561−572.
16	CHEN Y H. A study of geometry and commercial off-the-shelf (COTS) antennas for controlled reception pattern antenna (CRPA) arrays. Proc. of the 25th International Technical Meeting of the Satellite Division of the Institute of Navigation, 2012: 907−914.
29	DAVID S, SHERMAN C, ENGE P K, et al Calibrating adaptive antenna arrays for high-integrity GPS. GPS Solutions, 2012, 16, 221- 230. doi: 10.1007/s10291-011-0224-x
30	DANESHMAND S, SOKHANDAN N, MOHAMMAD Z A, et al Precise calibration of a GNSS antenna array for adaptive beamforming applications. Sensors, 2014, 14, 9669- 9691. doi: 10.3390/s140609669
31	DANESHMAND S, JAHROMI A J, BROUMANDAN A, et al GNSS space-time interference mitigation and attitude determination in the presence of interference signals. Sensors, 2015, 15, 12180- 12204. doi: 10.3390/s150612180
32	XU H L, CUI X W, LU M Q. Data-oriented calibration method to reduce measurement bias in SFAP-based GNSS receivers. Electronics Letters, 2018, 54(9): 591−593.
33	LI Y, ZUO Z Y, PENG T, et al Fast field array manifold calibration for GNSS antenna arrays. Telecommunication Engineering, 2018, 58 (5): 519- 524.
34	ZHANG Y D, AMIN M G Anti-jamming GPS receiver with reduced phase distortions. IEEE Signal Process Letters, 2012, 19 (10): 635- 638. doi: 10.1109/LSP.2012.2209873
35	PANG X J, ZHAO Y B, CAO C H, et al STAP method based on atomic norm minimization with array amplitude-phase error calibration. Journal of Systems Engineering and Electronics, 2021, 32 (1): 21- 30.
36	AN Y Steering vector real-time calibration using Beidou signals reconstruction. Telecommunication Engineering, 2020, 60 (11): 1311- 1316.
37	CAO K J, WANG L, LI B, et al A real-time phase center variation compensation algorithm for the anti-jamming GNSS antennas. IEEE Access, 2020, 8, 128705- 128715. doi: 10.1109/ACCESS.2020.3006627
38	AN Y, KANG R L, BAN Y L, et al Design of high precision Beidou receiver with anti-jamming antenna array. Telecommunication Engineering, 2022, 62 (11): 1572- 1579.
39	XU H L, CUI X W, SHEN J N, et al. A two-step beam-forming method based on carrier phases for GNSS adaptive array anti-jamming. Proc. of the International Technical Meeting of the Institute of Navigation, 2016: 793−804.
40	DANESHMAND S, MARATHE T, LACHAPELLE G Millimetre level accuracy GNSS positioning with the blind adaptive beamforming method in interference environments. Sensors, 2016, 16, 1824. doi: 10.3390/s16111824
17	CHEN Y H, LO S, AKOS D M, et al. Validation of a controlled reception pattern antenna (CRPA) receiver built from inexpensive general-purpose elements during several live jamming test campaigns. Proc. of the International Technical Meeting of the Institute of Navigation, 2013: 154−163.
18	KIM U S, LORENZO D D, GAUTIER J, et al. Phase effects analysis of patch antenna CRPAs for JPALS. Proc. of the 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, 2004: 1531−1538.
19	MCGRAW G A, MCDOWELL C, YOUNG R S Y, et al. Assessment of GPS anti-jam system pseudorange and carrier phase measurement error effects. Proc. of the 18th International Technical Meeting of the Satellite Division of the Institute of Navigation, 2005: 603−617.
20	KIM U S. Analysis of carrier phase and group delay biases introduced by CRPA hardware. Proc. of the 18th International Technical Meeting of the Satellite Division of the Institute of Navigation, 2005: 635−642.
21	VAGLE N, BROUMANDAN A, JAFARNIA A, et al. Characterization of GNSS measurement distortions due to antenna array processing in the presence of interference signals. Proc. of the Ubiquitous Positioning Indoor Navigation and Location Based Service, 2014: 71−80.
22	ZHAO H W, LIAN B W, FENG J Adaptive beamforming and phase bias compensation for GNSS receiver. Journal of Systems Engineering and Electronics, 2015, 26 (1): 10- 18.
23	Collins Aerospace. Multi-sensor antenna system (MSAS-100). https://www.collinsaerospace.com/what-we-do/Military-And-Defense/Navigation/Groud-Products/Multi-Sensor-Antenna-System-MSAS-100.
24	Israel Aerospace Industries. ADA anti-jamming system. https://www.iai.co.il/p/ada.
25	SEO J, CHEN Y H, LORENZO D, et al A real-time capable software-defined receiver using GPU for adaptive anti-jam GPS sensors. Sensors, 2011, 11, 8966- 8991. doi: 10.3390/s110908966
26	CHEN Y H, JUANG J C, SEO J, et al Design and implementation of real-time software radio for anti-interference GPS/WAAS sensors. Sensors, 2012, 12, 13417- 13440. doi: 10.3390/s121013417
27	CARLES F P, JAVIER A, PAU C Robust GNSS receivers by array signal processing: theory and implementation. Proceedings of the IEEE, 2016, 104 (6): 1207- 1220. doi: 10.1109/JPROC.2016.2532963
28	WANG J, LIU W X, CHEN F Q, et al GNSS array receiver faced with overloaded interferences: anti-jamming performance and the incident directions of interferences. Journal of Systems Engineering and Electronics, 2023, 34 (2): 335- 341.

Frequency	Jamming type	Bandwidth/MHz	Power/dBm	Number
B1	Wideband	4	−10	2
B3	Wideband	20	−10	2

Channel	PRN	Sample 1/(°)	Sample 2/(°)	Sample 3/(°)	Sample 4/(°)	C/N₀/(dBHz)
ch0	2	23.42	59.17	−81.37	58.30	39.2
ch1	2	24.43	58.78	−82.77	58.71	43.1
ch1−ch0	2	Phase errors mean=4.2/(°), phase errors standard deviation=2.5/(°)
ch2	9	−127.28	72.68	−41.47	150.52	43.5
ch3	9	−128.42	72.96	−41.43	148.82	47.4
ch3−ch2	9	Phase errors mean=−0.7/(°), phase errors standard deviation =4.9/(°)

PRN	$ {\sigma _\phi } $/(cycle)
PRN	B1	B3
6	0.0077	0.0081
9	0.0077	0.0084
12	0.0085	0.0079
13	0.0075	0.0078
16	0.0074	0.0085
21	0.0067	0.0074
22	0.0065	0.0070

Beidou receiver based on anti-jamming antenna arrays with self-calibration for precise relative positioning

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