Volume 7 Issue 4
Aug.  2018
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Article Navigation >  Journal of Radars  > 2018  >  7(4): 514-522
Wang Benjing, Yi Jianxin, Wan Xianrong, Dan Yangpeng. Inter-frame Ambiguity Analysis and Suppression of LTE Signal for Passive Radar[J]. Journal of Radars, 2018, 7(4): 514-522. doi: 10.12000/JR18025
Citation: Wang Benjing, Yi Jianxin, Wan Xianrong, Dan Yangpeng. Inter-frame Ambiguity Analysis and Suppression of LTE Signal for Passive Radar[J]. Journal of Radars, 2018, 7(4): 514-522. doi: 10.12000/JR18025
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Inter-frame Ambiguity Analysis and Suppression of LTE Signal for Passive Radar

doi: 10.12000/JR18025

  • School of Electronic Information, Wuhan University, Wuhan 430072, China

Funds:  National Key Research and Development Program (2016YFB0502403), Postdoctoral Innovative Talent Support Program (BX201600117), The National Natural Science Foundation of China (61701350, 61331012), Science and Technology Support Project of Hubei Province (2015BCE075), The Natural Science Foundation of Hubei Province (2016CFA061)
  • Received Date: 2018-03-23
  • Rev Recd Date: 2018-05-21
  • Publish Date: 2018-08-28
    Abstract
  • Long Term Evolution (LTE) is a new type of illuminators of opportunity for passive radars, with the advantages of broad bandwidth, high coverage, and strong generality. In this paper, the ambiguity function of Frequency Division Duplexing Long Term Evolution (FDD-LTE) signal is analyzed as an illuminator of opportunity. According to the measured signal, it was found that it is necessary to suppress the inter-frame ambiguity strips in the ambiguity function. Furthermore, themechanism of these inter-frame ambiguity strips was analyzed in detail, which revealed that the LTE signal frame structure is the main factor that causes these inter-frame ambiguity strips and is the major energy source of coherent integration. Thus, a method based on Orthogonal Frequency Division Multiplexing (OFDM) symbol subcarrier coefficient normalization is proposed to suppress these inter-frame ambiguity strips. Simulation and experimental results show that the method can suppress inter-frame ambiguity strips effectively, but does not affect coherent integration, which is the foundation of target detection.

     

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