Study on environment modeling and electromagnetic scattering characteristics in mountainous areas

被引:2
作者
Wang, Zhao Long [1 ]
Tong, Chuang Ming [1 ]
Wang, Yi Jin [1 ]
Wang, Qing Kuan [1 ]
Zou, Gao Xiang [2 ]
机构
[1] Air Force Engn Univ, Air & Missile Def Coll, Xian, Shaanxi, Peoples R China
[2] Beijing Aviat Engn Technol Res Ctr, Avion Lab, Beijing, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Composite rough surface; electromagnetic scattering characteristics; mountainous areas; shooting and bouncing ray; COMPOSITE ROUGH-SURFACE; BOUNCING RAYS; RCS; SOIL;
D O I
10.1080/02726343.2022.2080875
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposed a modeling method to describe the environmental structure of mountainous areas by using the composite rough surface model, and the electromagnetic (EM) scattering characteristics of the composite rough surfaces are studied. Based on the Monte Carlo method and Gaussian spectral function, the rough surface of the terrestrial environment is generated. And the inverse tangent function is introduced to weighted rough surfaces with different statistical properties, making rough surfaces join smoothly. On this basis, geometric models of rough surfaces of three typical mountainous environments, valley, hillside, and ridge, are established. The shooting and bouncing ray (SBR) method is used to calculate the EM scattering characteristics. Due to the multiple reflections of EM waves, the idea of ray-density normalization (RDN) is introduced to improve the EM flow on triangular facets illuminated by multiple rays. Finally, the effects of different slope angles, surface roughness, and incident wave angles on the EM scattering characteristics are discussed to provide some useful conclusions. The simulation results show that the rough surface with a certain slope will greatly change the scattering characteristics of the whole environment and make the spatial distribution of scattering energy show a new characteristic.
引用
收藏
页码:192 / 209
页数:18
相关论文
共 21 条
  • [1] [Anonymous], 1968, IEEE PRESS SERIES EL
  • [3] Band-limited exponential correlation function for rough-surface scattering
    Darawankul, Alongkorn
    Johnson, Joel T.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2007, 45 (05): : 1198 - 1206
  • [4] Ray-density normalization for ray-optical wave propagation modeling in arbitrarily shaped tunnels
    Didascalou, D
    Schäfer, TM
    Weinmann, F
    Wiesbeck, W
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2000, 48 (09) : 1316 - 1325
  • [5] MICROWAVE DIELECTRIC BEHAVIOR OF WET SOIL .2. DIELECTRIC MIXING MODELS
    DOBSON, MC
    ULABY, FT
    HALLIKAINEN, MT
    ELRAYES, MA
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1985, 23 (01): : 35 - 46
  • [6] 3-D Vector Electromagnetic Scattering From Arbitrary Random Rough Surfaces Using Stabilized Extended Boundary Condition Method for Remote Sensing of Soil Moisture
    Duan, Xueyang
    Moghaddam, Mahta
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (01): : 87 - 103
  • [7] IMPROVEMENTS TO THE FINITE-DIFFERENCE TIME-DOMAIN METHOD FOR CALCULATING THE RADAR CROSS-SECTION OF A PERFECTLY CONDUCTING TARGET
    FURSE, CM
    MATHUR, SP
    GANDHI, OP
    [J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 1990, 38 (07) : 919 - 927
  • [8] Gao Xiang Zou, 2020, 2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT), P252, DOI 10.1109/ICEICT51264.2020.9334374
  • [9] HIGH-FREQUENCY APPROXIMATIONS TO THE PHYSICAL OPTICS SCATTERING INTEGRAL
    GORDON, WB
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1994, 42 (03) : 427 - 432
  • [10] An Accelerated Shooting and Bouncing Ray Method Based on GPU and Virtual Ray Tube for Fast RCS Prediction
    Huo, Jincong
    Xu, Le
    Shi, Xiaowei
    Yang, Zhanbiao
    [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2021, 20 (09): : 1839 - 1843