Synthesis of interference resistant spatiotemporal filter for navigation parameters high precision measurements using global navigation satellite systems

The article considers problems of modern global navigation satellite systems high-precision user terminals performance in jamming and spoofing environment. The solution to the low interference resistance problem is the use of digital antenna arrays with spatiotemporal signal processing algorithms. The well-known, most studied and brought to practice algorithms for the spatiotemporal signal processing are described, reasons that do not allow the use of these algorithms in global navigation satellite systems high-precision user terminals are given. This article proposes a spatiotemporal signal processing algorithm based on a spatiotemporal filter of finite length with a special, theoretically justified requirement for the Hermitian symmetry of the matrix impulse response, which guarantees the absence of signal distortion in any interference environment. In this case, the spatiotemporal filter impulse response is calculated by the criterion of optimal interference suppression. The proposed spatiotemporal filter characteristics, as well as other spatiotemporal signal processing algorithms characteristics, were studied by mathematical simulation with random enumeration of interference environment parameters (directions to signals, to numerous interferences and their reflections, range of interference reflectors, reflection phases, interference and reflections levels, etc.). Simulation results are presented in the form of distribution functions of signal-to-noise ratios at the output of spatiotemporal signal processing algorithms and distribution functions of phase and signal time biases. The obtained dependencies confirm the absence of phase and signal time biases in the spatiotemporal filter in absolutely any interference environment with interfering multipath, while the spatiotemporal filter provides greater interference resistance than compensating spatiotemporal signal processing algorithms.

1. Coff ed J., The Threat of GPS Jamming. The Risk to an Information Utility, Harris Corporation, 2013, 13 p.

2. Karutin S. N., Abstracts of scientifi c and technical conference “Navigation through the Earth’s gravitational fi eld and its metrological support”, 14–15 february 2017, Mendeleevo, FSUE “VNIIFTRI” Publ., 2017, pp. 5–7.

3. Michael E. Porter, Competitive Strategy: Techniques for Analyzing Industries and Competitors, The free press, 1998.

4. Efi menko V. S., Kharisov V. N., Medvedev P. V., Radioengineering, 2005, no. 7, pp. 62–67.

5. GLONASS. Printsipy postroeniya i funktsionirovaniya, ed. A. I. Perova, V. N. Kharisova, Mоscow, Radiotekhnika, 2010, 800 p. (in Russian).

6. Efi menko V. S., Kharisov V. N., Radioengineering, 2008, no. 7, pp. 45–50.

7. Daneshmand S., Jahromi A., Broumandan A., Lachapelle G. GNSS space-time interference mitigation and attitude determination in the presence of interference signals, Proceedings of the 24th international technical meeting ot the satellite division of the institute of navigation (ION GNSS 2011), 20–23 September 2011, Portland, OR, pp. 1183–1192. DOI:10.3390/s150612180

8. Psiaki M., O’Hanlon B. W., Powell S. P., Bhatti Jahshan, Wesson K. D., Humphreys T. E., Schofi eld A., GNSS spoofi ng detection using two-antenna diff erential carrier phase, Proceedings of the 27th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS 2014), 8–12 September 2014, Tampa, Frorida, pp. 2776–2800. DOI:10.15781/T24M91T03

9. Xu H., Cui X., Shen J., Lu M., A Two-Step Beam-Forming Method Based on Carrier Phases for GNSS Adaptive Array Anti-Jamming, Proceedings of the 2016 International Technical Meeting of The Institute of Navigation, Monterey, California, January 2016, pp. 793–804. DOI:10.33012/2016.13488

10. Dimc F., Bažec M., Borio D., Gioia C., Baldini G., and Basso M., Journal of Institute of Navigation, 2017, vol. 64, no. 1, pp. 93–109. DOI:10.1002/navi.184

11. Efi menko V. S., Kharisov V. N., Pavlov V. S., Radioengineering, 2016, no. 7, pp. 113–120.

12. Karutin S. N., Kharisov V. N., Pavlov V. S., Radioengineering, 2018, no. 9, pp. 131–139. DOI:0.18127/j00338486-201809-23

13. Tikhonov V. I., Kharisov V. N., Statisticheskii analiz i sintez radiotekhnicheskikh ustroistv i system, Moscow, Goryachaya liniya – Telekom Publ., 2014, 396 p. (in Russian).