A Low Complexity GNSS Array Signal Angle of Arrival (AoA) Estimation Algorithm and Validation

Authors

  • Boyi Wang 1Dept. of Aerospace Engineering Sciences, University of Colorado at Boulder, Boulder, CO 80309, USA 2School of EIC, Huazhong University of Science and Technology, Wuhan, 430074, China
  • Yafeng Li 1Dept. of Aerospace Engineering Sciences, University of Colorado at Boulder, Boulder, CO 80309, USA,3School of Automation, Beijing Institute of Technology, Beijing, 100081, China
  • Nagaraj Channarayapatna Shivaramaiah Dept. of Aerospace Engineering Sciences, University of Colorado at Boulder, Boulder, CO 80309, USA
  • Dennis M. Akos Dept. of Aerospace Engineering Sciences, University of Colorado at Boulder, Boulder, CO 80309, USA

Keywords:

AoA, GNSS, GPS, Matlab, SDR, Array Signal

Abstract

Adaptive antenna array techniques are widely utilized to reject multipath and interference errors in Global Navigation Satellite System receivers (GNSS). Several methods have been proposed to tackle this issue. However, one severe problem for existing methods is the implementation complexity as GNSS receivers usually work under a high-dynamic receiving environment, thus may have the requirement of rapid angle estimates. In this paper, we propose a low complexity GNSS array signal estimation algorithm. Live data validation shows that the estimated AoA values can be used to improve the Carrier-to-Noise-Ratio by 1~4 dB-Hz.

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References

L. C. Godara, "Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations," Proc. IEEE, 85(8): pp. 1195-1245, 1997.

A. Alexiou and M. Haardt, "Smart antenna technologies for future wireless systems: Trends and challenges," Communications Magazine IEEE, 42(9): pp. 90-97, 2004. [3] R. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Transactions on Antennas & Propagation, 34(3): pp. 276-280, 1986.

B. D. Rao and K. V. S. Hari, "Performance analysis of root-MUSIC," IEEE Transactions on Acoustics Speech & Signal Processing, 37(12): pp. 1939-1949, 1989.

R. Roy and T. Kailath, "ESPRIT-estimation of signal parameters via rotational invariance techniques," IEEE Transactions on Acoustics Speech & Signal Processing, 37(7): pp. 984-995, 2002.

Signals and Array Signal Processing for Global Navigation Satellite Systems. Available from: https://www.msv.ei.tum.de/en/courses/masterlectures/signals-and-array-signal-processing-for-global-navigationsatellite-systems/

Tallysman Home Page. Available from: http://www.tallysman.com/index. php/gnss/products/antennas-l1l2-g1g2/tw7872/

Amungo Navigation. Available from: https://www.Amungo-navigation. com/nut4nt

NT1065_USB3_description_v1.03.pdf. Available from: http://www.ntlab. com/IP/NT1065/NT1065_USB3_description_v1.03.pdf

B. Kai, et al., A Software-Defined GPS and Galileo Receiver. Birkhäuser Boston, pp. 1632-1637, 2007.

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Published

2021-07-22

How to Cite

[1]
Boyi Wang, Yafeng Li, Nagaraj Channarayapatna Shivaramaiah, and Dennis M. Akos, “A Low Complexity GNSS Array Signal Angle of Arrival (AoA) Estimation Algorithm and Validation”, ACES Journal, vol. 33, no. 10, pp. 1164–1170, Jul. 2021.

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Articles