Abstract
In this study, we provide a detailed analysis of the frequency division duplex long term evolution downlink (FDD LTE DL) signal for passive bistatic radars that use the signal as an illuminator of opportunity. In particular, we analyze the cross-ambiguity function and illustrate its undesired deterministic peaks in the Doppler dimension due to the specific structure of the FDD LTE DL signal. A new adaptive mismatched filtering method is proposed for pre-processing the original reference signal to suppress these undesired deterministic peaks in the range-Doppler processing. The effectiveness of our proposed method is demonstrated via simulations following robustness analysis, showing that all undesired peaks are suppressed below −40 dB, with only 1.7 dB reduction in the main peak.
摘要
本文详细介绍了 LTE 频分物理下行链路信号 (LTE信号) 作为照射源的外辐射雷达系统. 根据 LTE 信号特定的物理帧结构分析其模糊函数特性, 同时探讨多普勒维不同类型副峰的形成机理. 提出一种基于自适应参考信号预处理的失配滤波方法求解模糊权值因子, 抑制模糊副峰的影响, 提高目标检测性能. 仿真结果表明所提方法可将副峰抑制至 −40 dB 以下, 同时主峰损失仅为 1.7 dB, 验证了所提算法有效性.
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References
3GPP, 2013. Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation. 3GPP TS 36.211.
Abdullah RSAR, Salah AA, Ismail A, et al., 2016a. Experimental investigation on target detection and tracking in passive radar using long-term evolution signal. IET Radar Sonar Navig, 10(3):577–585. https://doi.org/10.1049/iet-rsn.2015.0346
Abdullah RSAR, Salah AA, Ismail A, et al., 2016b. Ground moving target detection using LTE-based passive radar. Proc Int Conf on Radar, Antenna, Microwave, Electronics and Telecommunications, p.70–75. https://doi.org/10.1109/ICRAMET.2015.7380777
Berger CR, Demissie B, Heckenbach JÖ, et al., 2010. Signal processing for passive radar using OFDM waveforms. IEEE J Sel Top Signal Process, 4(1):226–238. https://doi.org/10.1109/JSTSP.2009.2038977
Bongioanni C, Colone F, Langellotti D, et al., 2009. A new approach for DVB-T cross-ambiguity function evaluation. Proc European Radar Conf, p.37–40
Cao W, Hu WD, Zhang LF, et al., 2017. Pilots-aided LTE reference signal reconstruction in low SNR reference channel for passive sensing. Proc IEEE Asia Pacific Microwave Conf, p.97–100. https://doi.org/10.1109/APMC.2017.8251386
Chen G, Wang J, Guo S, et al., 2018. Improved mismatched filtering for ATV-based passive bistatic radar. IET Radar Sonar Navig, 12(6):663–670. https://doi.org/10.1049/iet-rsn.2017.0476
Cherniakov M, 2008. Bistatic Radar: Emerging Technology. John Wiley & Sons, New York, USA, p.620–621. https://doi.org/10.1002/9780470985755
Cherniakov M, Abdullah RSAR, Jancovic P, et al., 2006. Automatic ground target classification using forward scattering radar. IEE Proc Radar Sonar Navig, 153(5): 427–437. https://doi.org/10.1049/ip-rsn:20050028
Dan YP, Wan XR, Yi JX, et al., 2018. Ambiguity function analysis of long term evolution transmission for passive radar. Proc 12th Int Symp on Antennas, Propagation and EM Theory, p.1–4. https://doi.org/10.1109/ISAPE.2018.8634255
Edrich M, Schroeder A, Meyer F, 2014. Design and performance evaluation of a mature FM/DAB/DVB-T multiilluminator passive radar system. IET Radar Sonar Navig, 8(2):114–122. https://doi.org/10.1049/iet-rsn.2013.0162
Evers A, Jackson JA, 2015. Cross-ambiguity characterization of communication waveform features for passive radar. IEEE Trans Aerosp Electron Syst, 51(4):3440–3455. https://doi.org/10.1109/TAES.2015.140622
Kabakchiev C, Behar V, Garvanov I, et al., 2014. Detection, parametric imaging and classification of very small marine targets emerged in heavy sea clutter utilizing GPS-based forward scattering radar. Proc IEEE Int Conf on Acoustics, Speech and Signal Processing, p.793–797. https://doi.org/10.1109/ICASSP.2014.6853705
Karthik AK, Blum RS, 2018. Improved detection performance for passive radars exploiting known communication signal form. IEEE Signal Process Lett, 25(11):1625–1629. https://doi.org/10.1109/LSP.2018.2870341
Labib M, Marojevic V, Reed JH, et al., 2017. Enhancing the robustness of LTE systems: analysis and evolution of the cell selection process. IEEE Commun Mag, 55(2):208–215. https://doi.org/10.1109/MCOM.2017.1500706CM
Liang F, Wan XR, Gao F, et al., 2016. Passive detection using orthogonal frequency division multiplex signals of opportunity without multipath clutter cancellation. IET Radar Sonar Navig, 10(3):516–524. https://doi.org/10.1049/iet-rsn.2015.0238
Liu SH, Ma YH, Huang YM, 2019. Sea clutter cancellation for passive radar sensor exploiting multi-channel adaptive filters. IEEE Sens J, 19(3):982–995. https://doi.org/10.1109/JSEN.2018.2879879
Malanowski M, Kulpa K, Kulpa J, et al., 2014. Analysis of detection range of FM-based passive radar. IET Radar Sonar Navig, 8(2):153–159. https://doi.org/10.1049/iet-rsn.2013.0185
Palmer JE, Harms HA, Searle SJ, et al., 2013. DVB-T passive radar signal processing. IEEE Trans Signal Process, 61(8):2116–2126. https://doi.org/10.1109/TSP.2012.2236324
Salah AA, Abdullah RSAR, Ismail A, et al., 2014. Experimental study of LTE signals as illuminators of opportunity for passive bistatic radar applications. Electron Lett, 50(7):545–547. https://doi.org/10.1049/e1.2014.0237
Searle S, Palmer J, Davis L, et al., 2014. Evaluation of the ambiguity function for passive radar with OFDM transmissions. Proc IEEE Radar Conf, p.1040–1045. https://doi.org/10.1109/RADAR.2014.6875747
Shamaei K, Khalife J, Kassas ZM, 2018. Exploiting LTE signals for navigation: theory to implementation. IEEE Trans Wirel Commun, 17(4):2173–2189. https://doi.org/10.1109/TWC.2018.2789882
Tabassum MN, Hadi MA, Alshebeili S, 2016. CS based processing for high resolution GSM passive bistatic radar. Proc IEEE Int Conf on Acoustics, Speech and Signal Processing, p.2229–2233. https://doi.org/10.1109/ICASSP.2016.7472073
Venu D, Rao NVK, 2017. Ambiguity function analysis of broadcast signals for passive radar. Proc 2nd IEEE Int Conf on Recent Trends in Electronics, Information & Communication Technology, p.2026–2029. https://doi.org/10.1109/RTEICT.2017.8256954
Yin L, Li SF, Zhu HB, et al., 2018. Reduced-power almost black subframe based pulse radar spectrum sharing for LTE system. IEEE Trans Electromag Compat, 60(5):1223–1230. https://doi.org/10.1109/TEMC.2018.2810250
Zaimbashi A, 2016. Multiband FM-based passive bistatic radar: target range resolution improvement. IET Radar Sonar Navig, 10(1):174–185. https://doi.org/10.1049/iet-rsn.2015.0109
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Project supported by the National Key Laboratory Fund (No. 6142411183302)
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Luo ZUO and Jun WANG designed the research. Luo ZUO processed the data and drafted the manuscript. Jun WANG helped organize the manuscript. Jun WANG and Gang CHEN revised and finalized the paper.
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Luo ZUO, Jun WANG, and Gang CHEN declare that they have no conflict of interest.
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Zuo, L., Wang, J. & Chen, G. Doppler ambiguity analysis and suppression for LTE-based passive bistatic radars. Front Inform Technol Electron Eng 22, 1140–1152 (2021). https://doi.org/10.1631/FITEE.2000143
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DOI: https://doi.org/10.1631/FITEE.2000143