赵鹏,张玉石,吴振森,等. 不同地物散射特性对比与多地物散射特性估算[J]. 电波科学学报,2024,39(2):1-7. DOI: 10.12265/j.cjors.2023033
      引用本文: 赵鹏,张玉石,吴振森,等. 不同地物散射特性对比与多地物散射特性估算[J]. 电波科学学报,2024,39(2):1-7. DOI: 10.12265/j.cjors.2023033
      ZHAO P, ZHANG Y S, WU Z S, et al. Compared experiments on different terrains scattering and estimated multi- terrains scattering characteristics[J]. Chinese journal of radio science,2024,39(2):1-7. (in Chinese). DOI: 10.12265/j.cjors.2023033
      Citation: ZHAO P, ZHANG Y S, WU Z S, et al. Compared experiments on different terrains scattering and estimated multi- terrains scattering characteristics[J]. Chinese journal of radio science,2024,39(2):1-7. (in Chinese). DOI: 10.12265/j.cjors.2023033

      不同地物散射特性对比与多地物散射特性估算

      Compared experiments on different terrains scattering and estimated multi- terrains scattering characteristics

      • 摘要: 地物环境特性差异是不同地物之间散射特性差异的主要因素,本文针对不同地物散射特性差异影响因素难以量化的难题,利用车载微波散射计和环境参数测试系统开展以玉米、大豆、胡萝卜及裸地等多种不同地物为对象的散射特性对比试验,研究了不同地物之间的散射特性差异,以及其生长状态的改变对散射特性的影响,并建立了一种关联环境参数的地物散射模型;利用单类型多地物散射系数估算了大区域复合地物散射系数,与实测数据对比误差小于4 dB,说明了推算方法的有效性,也为复杂场景地杂波预测研究提供了支撑。

         

        Abstract: The difference in terrain environmental parameters are the main factors affecting the difference in scattering characteristics between different terrains. In response to the difficulty in quantifing the influencing factors of the difference in scattering characteristics, compared scattering experiments on corn, soybean, carrot and soil by vehicle microwave scatterometer and environmental parameter test system are made. Based on multi-layer scattering mechanisms, using multiple crops experiment data, a vegetation scattering model is established, which has definite physical significance and has strong correlation with environmental parameters. At last, this paper attempts to estimate the compound terrains with large area by multiple crops experiment data, and achieve good results. The comparison error with the measured data is less than 4 dB, indicating the effectiveness of the calculation method and providing support for the study of complex ground clutter prediction.

         

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