Advanced Search
Volume 41 Issue 11
Nov.  2019
Turn off MathJax
Article Contents
Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG. A Novel Radiometric Signature of Time-Division Multiple Access Signals and Its Application to Specific Emitter Identification[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2661-2668. doi: 10.11999/JEIT190163
Citation: Yiwei PAN, Hua PENG, Tianyun LI, Wenya WANG. A Novel Radiometric Signature of Time-Division Multiple Access Signals and Its Application to Specific Emitter Identification[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2661-2668. doi: 10.11999/JEIT190163

A Novel Radiometric Signature of Time-Division Multiple Access Signals and Its Application to Specific Emitter Identification

doi: 10.11999/JEIT190163
Funds:  The National Natural Science Foundation of China (61401511, U1736107)
  • Received Date: 2019-03-20
  • Rev Recd Date: 2019-06-05
  • Available Online: 2019-06-14
  • Publish Date: 2019-11-01
  • For Time-Division Multiple Access (TDMA) signals, the performance of Specific Emitter Identification (SEI) is primarily limited by burst duration. To remedy this shortcoming, a novel radiometric signature is presented, which reveals whether the users of the adjacent time slots are the same from a perspective of carrier phase, thereby providing the basis for data accumulation of the same user. First, the feature mechanism is introduced, as well as the extraction method. Thereafter, user identity detection of the adjacent slots is implemented with an adaptive threshold, which is derived from the distribution of the signature. Finally, a new SEI processing procedure is designed with data accumulation, which breaks the routine of identifying only one slot at a time. Simulation results demonstrate that the proposed signature is resilient against the noise, and can accurately detect the user identity of the adjacent slots. Compared with the traditional processing procedure, the proposed one can effectively improve the SEI performance of TDMA signals.
  • loading
  • DANEV B, ZANETTI D, and CAPKUN S. On physical-layer identification of wireless devices[J]. ACM Computing Surveys, 2012, 45(1): Article No.6. doi: 10.1145/2379776.2379782
    SPEZIO A E. Electronic warfare systems[J]. IEEE Transactions on Microwave Theory and Techniques, 2002, 50(3): 633–644. doi: 10.1109/22.989948
    MERCHANT K, REVAY S, STANTCHEV G, et al. Deep learning for RF device fingerprinting in cognitive communication networks[J]. IEEE Journal of Selected Topics in Signal Processing, 2018, 12(1): 160–167. doi: 10.1109/JSTSP.2018.2796446
    DING Lida, WANG Shilian, WANG Fanggang, et al. Specific emitter identification via convolutional neural networks[J]. IEEE Communications Letters, 2018, 22(12): 2591–2594. doi: 10.1109/LCOMM.2018.2871465
    KIM K, SPOONER C M, AKBAR I, et al. Specific emitter identification for cognitive radio with application to IEEE 802.11[C]. IEEE Global Telecommunications, New Orleans, USA, 2008: 1–5.
    HAN Jie, ZHANG Tao, REN Dongfang, et al. Communication emitter identification based on distribution of bispectrum amplitude and phase[J]. IET Science, Measurement & Technology, 2017, 11(8): 1104–1112. doi: 10.1049/iet-smt.2017.0024
    BERTONCINI C, RUDD K, NOUSAIN B, et al. Wavelet fingerprinting of radio-frequency identification (RFID) tags[J]. IEEE Transactions on Industrial Electronics, 2012, 59(12): 4843–4850. doi: 10.1109/TIE.2011.2179276
    ZHANG Jingwen, WANG Fanggang, DOBRE O A, et al. Specific emitter identification via Hilbert-Huang transform in single-hop and relaying scenarios[J]. IEEE Transactions on Information Forensics and Security, 2016, 11(6): 1192–1205. doi: 10.1109/TIFS.2016.2520908
    任东方, 张涛, 韩洁, 等. 基于ITD与纹理分析的特定辐射源识别方法[J]. 通信学报, 2017, 38(12): 160–168. doi: 10.11959/j.issn.1000-436x.2017299

    REN Dongfang, ZHANG Tao, HAN Jie, et al. Specific emitter identification based on ITD and texture analysis[J]. Journal on Communications, 2017, 38(12): 160–168. doi: 10.11959/j.issn.1000-436x.2017299
    SATIJA U, TRIVEDI N, BISWAL G, et al. Specific emitter identification based on variational mode decomposition and spectral features in single hop and relaying scenarios[J]. IEEE Transactions on Information Forensics and Security, 2019, 14(3): 581–591. doi: 10.1109/TIFS.2018.2855665
    BRIK V, BANERJEE S, GRUTESER M, et al. Wireless device identification with radiometric signatures[C]. The 14th ACM International Conference on Mobile Computing and Networking, New York, USA, 2008: 116–127.
    PENG Linning, HU Aiqun, ZHANG Junqing, et al. Design of a hybrid RF fingerprint extraction and device classification scheme[J]. IEEE Internet of Things Journal, 2019, 6(1): 349–360. doi: 10.1109/JIOT.2018.2838071
    LIU Mingwei and DOHERTY J F. Specific emitter identification using nonlinear device estimation[C]. Proceedings of IEEE Sarnoff Symposium, Princeton, USA, 2008: 1–5.
    POLAK A C and GOECKEL D L. Wireless device identification based on RF oscillator imperfections[J]. IEEE Transactions on Information Forensics and Security, 2015, 10(12): 2492–2501. doi: 10.1109/TIFS.2015.2464778
    ZHANG Yi. Wireless transmitter IQ balance and sideband suppression[EB/OL]. http://www.analog.com/media/en/technical-documentation/applicationnotes/AN-1100.pdf, 2018.
    潘一苇, 彭华, 李天昀, 等. 针对特定辐射源识别的高精度符号同步方法[J]. 通信学报, 2018, 39(8): 106–112. doi: 10.11959/j.issn.1000-436x.2018132

    PAN Yiwei, PENG Hua, LI Tianyun, et al. High-precision symbol timing algorithm for specific emitter identification[J]. Journal on Communications, 2018, 39(8): 106–112. doi: 10.11959/j.issn.1000-436x.2018132
    DE OLIVEIRA M C and BITMEAD R R. High-fidelity modulation parameter estimation of non-cooperative transmitters: Carrier frequency[J]. Digital Signal Processing, 2011, 21(5): 632–637. doi: 10.1016/j.dsp.2011.03.002
    CHANG C C and LIN C J. LIBSVM: A library for support vector machines[EB/OL]. http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2018.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(9)  / Tables(1)

    Article Metrics

    Article views (4005) PDF downloads(83) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return