张利军,王红光,李建儒,等. 基于AIS信号的低空大气波导监测试验分析[J]. 电波科学学报,2023,38(1):108-113. DOI: 10.12265/j.cjors.2021339
      引用本文: 张利军,王红光,李建儒,等. 基于AIS信号的低空大气波导监测试验分析[J]. 电波科学学报,2023,38(1):108-113. DOI: 10.12265/j.cjors.2021339
      ZHANG L J, WANG H G, LI J R, et al. Experimental analysis of lower atmospheric duct monitoring based on AIS signal[J]. Chinese journal of radio science,2023,38(1):108-113. (in Chinese). DOI: 10.12265/j.cjors.2021339
      Citation: ZHANG L J, WANG H G, LI J R, et al. Experimental analysis of lower atmospheric duct monitoring based on AIS signal[J]. Chinese journal of radio science,2023,38(1):108-113. (in Chinese). DOI: 10.12265/j.cjors.2021339

      基于AIS信号的低空大气波导监测试验分析

      Experimental analysis of lower atmospheric duct monitoring based on AIS signal

      • 摘要: 鉴于低空大气波导对海上工作的雷达、通信系统的显著影响,提出了基于实测船舶自动识别系统(automatic identification system, AIS)信号的海上低空大气波导遥感新方法. 首先讨论了不同大气折射环境下的AIS信号传播特性,验证了低空大气波导尤其表面波导对海上实际VHF频段AIS信号的显著影响;然后给出了2018年4月20日以及22日岸基AIS接收机接收功率平面位置分布图结果,利用接收站附近探空站的修正大气折射率剖面验证了大气波导是形成AIS信号远距离传播的主要原因;最后给出了基于AIS信号反演低空大气波导的步骤,采用粒子群优化算法得到根据单一方位接收功率的反演结果. 该方法具有被动接收、时空分辨率高的优点,是当前雷达海杂波、卫星导航信号遥感探测大气波导的有益补充.

         

        Abstract: In view of the significant influence of lower atmospheric duct on radar and communication systems at sea, a new method of remote sensing lower atmospheric duct at sea based on measured automatic identification system (AIS) signal is proposed. The propagation characteristics of AIS signal in different atmospheric refraction environments are discussed, and the significant influence of lower atmospheric duct, especially surface duct, on AIS signal operated on VHF band is verified. The plan position distribution results of the received power of shore based AIS receiver on April 20 and 22, 2018 are given. Furthermore, the modified atmospheric refractivity profile of the radiosonde site near the receiving station is used to verify that the lower atmospheric duct is the main reason for the long-range propagation of AIS signal. Finally, the basic procedure of inversion of lower atmospheric duct based on AIS signal is given, and the inversion results based on single azimuth received power using particle swarm optimization algorithm are given. This method has the advantages of passive reception of non-active radiated electromagnetic signals and high temporal and spatial resolution. It is a useful supplement to the current radar sea clutter and satellite navigation signals for remote sensing atmospheric duct.

         

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