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Localization deception performance of FDA signals under passive bi-satellite reconnaissance

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Abstract

Time difference of arrival (TDOA) and frequency difference of arrival (FDOA) are widely adopted for passive bi-satellite positioning system (BPS) localization. Although TDOA/FDOA localization counter-measures have received much attention, different from existing passive localization countermeasure techniques which mainly concentrate on designing spoofing jammers. This paper proposes that the application of frequency diverse array (FDA) antenna has more advantages in achieving localization deception compared with phased array (PA) antenna. FDA uses a small frequency offset across its array elements, which makes periodical time-variance beampattern even at a fixed angle and distance. Followed by this new method, closed-form expressions for the geometric dilution of precision (GDOP) and Cramer-Rao bounds (CRB) are derived to quantitatively evaluate the localization deception performance of the FDA transmitted signals. Both numerical analysis and simulation results show that FDA indeed provides robust localization deception performance than conventional phased-array under passive bi-satellite reconnaissance.

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References

  1. Youssef M, Mah M, Agrawala A K. Challenges: device-free passive localization for wireless environments. In: Proceedings of ACM/IEEE International Conference on Mobile Computing and Networking, 2007. 222–229

  2. Olivadese D, Giusti E, Petri D, et al. Passive ISAR with DVB-T signals. IEEE Trans Geosci Remote Sens, 2013, 51: 4508–4517

    Article  Google Scholar 

  3. Vaghefi R M, Gholami M R, Buehrer R M, et al. Cooperative received signal strength-based sensor localization with unknown transmit powers. IEEE Trans Signal Process, 2013, 61: 1389–1403

    Article  MathSciNet  Google Scholar 

  4. Hmam H. Passive source localization from time of arrival measurements. In: Proceedings of the 3rd International Symposium on Wireless Pervasive Computing, Santorini, 2008. 126–129

  5. Li Y Y, Qi G Q, Sheng A D. General analytical formula of GDOP for TOA target localisation. Electron Lett, 2018, 54: 381–383

    Article  Google Scholar 

  6. Jia T Y, Wang H Y, Shen X H, et al. Target localization based on structured total least squares with hybrid TDOA-AOA measurements. Signal Process, 2018, 143: 211–221

    Article  Google Scholar 

  7. Qu X M, **e L H. An efficient convex constrained weighted least squares source localization algorithm based on TDOA measurements. Signal Process, 2016, 119: 142–152

    Article  Google Scholar 

  8. Yang S W, He Z S, Liu H M, et al. An analysis of anti-TDOA positioning capability for MIMO radar. In: Proceedings of International Workshop on Microwave and Millimeter Wave Circuits and System Technology, 2012

  9. Gezici S, Tian Z, Giannakis G B, et al. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks. IEEE Signal Process Mag, 2005, 22: 70–84

    Article  Google Scholar 

  10. Shi X R, Zhou F, Zhao B, et al. Deception jamming method based on micro-Doppler effect for vehicle target. Sonar Nav, 2016, 34: 1071–1079

    Article  Google Scholar 

  11. Feng S, Wang G L, Ma W. Eliminating false localization from passive TDOA measurements. In: Proceedings of CIE International Conference on Radar, Guangzhou, 2016

  12. Wang W Q. Adaptive RF stealth beamforming for frequency diverse array radar. In: Proceedings of the 23rd European Signal Processing Conference, 2015. 1163–1166

  13. Fu Y J, Li Y, Huang Q D, et al. Design and analysis of LFM/Barker RF stealth signal waveform. In: Proceedings of Conference on Industrial Electronics and Applications, 2016. 591–595

  14. Carson N, Martin S M, Starling J, et al. GPS spoofing detection and mitigation using cooperative adaptive cruise control system. In: Proceedings of IEEE Intelligent Vehicles Symposium (IV), Gothenburg, 2016. 1091–1096

  15. Stein S. Algorithms for ambiguity function processing. IEEE Trans Acoust Speech Signal Process, 1981, 29: 588–599

    Article  Google Scholar 

  16. Kim D G, Park G H, Kim H N, et al. Computationally efficient TDOA/FDOA estimation for unknown communication signals in electronic warfare systems. IEEE Trans Aerosp Electron Syst, 2018, 54: 77–89

    Article  Google Scholar 

  17. Chen E Q, Tao R, Zhang W Q. Two-stage method for joint time delay and Doppler shift estimation. IET Radar Sonar Nav, 2008, 2: 71–77

    Article  Google Scholar 

  18. Chestnut P C. Emitter location accuracy using TDOA and differential Doppler. IEEE Trans Aerosp Electron Syst, 1982, 18: 214–218

    Article  Google Scholar 

  19. Torrieri D. Statistical theory of passive location systems. IEEE Trans Aerosp Electron Syst, 1984, 20: 183–198

    Article  Google Scholar 

  20. Xu J W, Liao G S, Zhu S Q, et al. Deceptive jamming suppression with frequency diverse MIMO radar. Signal Process, 2015, 113: 9–17

    Article  Google Scholar 

  21. Wang W Q, So H C, Farina A. An overview on time/frequency modulated array processing. IEEE J Sel Top Signal Process, 2017, 11: 228–246

    Article  Google Scholar 

  22. Wen C, Tao M L, Peng J Y, et al. Clutter suppression for airborne FDA-MIMO radar using multi-waveform adaptive processing and auxiliary channel STAP. Signal Process, 2019, 154: 280–293

    Article  Google Scholar 

  23. Wang W Q. Moving-target tracking by cognitive RF stealth radar using frequency diverse array antenna. IEEE Trans Geosci Remote Sens, 2016, 54: 3764–3773

    Article  Google Scholar 

  24. Li Q, Huang L, So H C, et al. Beampattern synthesis for frequency diverse array via reweighted 1 iterative phase compensation. IEEE Trans Aerosp Electron Syst, 2018, 54: 467–475

    Article  Google Scholar 

  25. Gui R, Wang W Q, Cui C, et al. Coherent pulsed-FDA radar receiver design with time-variance consideration: SINR and CRB analysis. IEEE Trans Signal Process, 2018, 66: 200–214

    Article  MathSciNet  Google Scholar 

  26. Khan W, Qureshi I M. Frequency diverse array radar with time-dependent frequency offset. Antennas Wirel Propag Lett, 2014, 13: 758–761

    Article  Google Scholar 

  27. Han S D, Fan C Y, Huang X T. Frequency diverse array with time-dependent transmit weights. In: Proceedings of the 13th International Conference on Signal Processing, 2016, 448–451

  28. Liu Y M, Ruan H, Wang L, et al. The random frequency diverse array: a new antenna structure for uncoupled direction-range indication in active sensing. IEEE J Sel Top Signal Process, 2017, 11: 295–308

    Article  Google Scholar 

  29. Gao K D, Wang W Q, Cai J Y, et al. Decoupled frequency diverse array range-angle-dependent beampattern synthesis using non-linearly increasing frequency offsets. IET Microw Antennas Propag, 2016, 2014: 880–884

    Article  Google Scholar 

  30. **ong J, Wang W Q, Wang Z. Optimization of frequency increments via CRLB minimization for frequency diverse array. In: Proceedings of IEEE Radar Conference, Seattle, 2017. 0645–0650

  31. Khan W, Qureshi I M, Saeed S. Frequency diverse array radar with logarithmically increasing frequency offset. Antennas Wirel Propag Lett, 2015, 14: 499–502

    Article  Google Scholar 

  32. Sengupta S K, Kay S M. Fundamentals of statistical signal processing: estimation theory. Technometrics, 1995, 37: 465

    Article  Google Scholar 

  33. Musicki D, Koch W. Geolocation using TDOA and FDOA measurements. In: Proceedings of the 11th International Conference on Information Fusion, Cologne, 2008

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Correspondence to Shunsheng Zhang.

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Guan, H., Zhang, S. & Wang, WQ. Localization deception performance of FDA signals under passive bi-satellite reconnaissance. Sci. China Inf. Sci. 64, 192305 (2021). https://doi.org/10.1007/s11432-019-2773-1

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  • DOI: https://doi.org/10.1007/s11432-019-2773-1

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