Improving the Computational Accuracy of Radar Propagation Prediction Algorithm based on Digitized Terrain Elevation Data

被引：0
|
作者：
Huang, Kaili [1 ]
Qin, Weiping [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Sch Elect Sci & Engn, Nanjing 210003, Peoples R China
来源：
2016 IEEE INTERNATIONAL WORKSHOP ON ELECTROMAGNETICS: APPLICATIONS AND STUDENT INNOVATION COMPETITION (IWEM) | 2016年
关键词：
Propagation Prediction; Propagation model; Digital Terrain Elevation Data; knife-edge diffraction; MODEL;
D O I：
暂无
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：
A new propagation prediction algorithm based on DTED (Digital Terrain Elevation Data) digital map is presented for the prediction of Radar propagation through large scale irregular complex terrain. The computational accuracy has been greatly improved compared with conventional radio propagation models. The calculated results are compared with Longley-Rice model and Lee model.
引用
收藏
页数：3
相关论文
共 50 条
  • [31] Improving the Accuracy of Ensemble Classifier Prediction model based on FLAME Clustering with Random Forest Algorithm
    Augusty, Seena Mary
    Izudheen, Sminu
    2013 THIRD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC 2013), 2013, : 269 - 273
  • [32] Influence of Digital Terrain Data Accuracy on Diffraction Prediction in NLOS Wireless Backhauls
    Al-Zubi M.M.
    Alouini M.
    IEEE Transactions on Vehicular Technology, 2024, 73 (10) : 1 - 13
  • [33] Accuracy assessment of automatically derived digital elevation models from aster data in mountainous terrain
    Eckert, S
    Kellenberger, T
    Itten, K
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (09) : 1943 - 1957
  • [34] Full parallax synthetic hologram based on SRTM elevation terrain data
    Hou Rui
    Yu Jia
    Guo Buyu
    Liu Huiping
    Xu Wenbin
    THREE-DIMENSIONAL IMAGE ACQUISITION AND DISPLAY TECHNOLOGY AND APPLICATIONS, 2018, 10845
  • [35] A link prediction algorithm based on label propagation
    Liu, Jie
    Xu, Baomin
    Xu, Xiang
    Xin, Tinglin
    JOURNAL OF COMPUTATIONAL SCIENCE, 2016, 16 : 43 - 50
  • [36] Improving the Prediction Accuracy of Decision Tree Mining with Data Preprocessing
    Chandrasekar, Priyanga
    Qian, Kai
    Shahriar, Hossain
    Bhattacharya, Prabir
    2017 IEEE 41ST ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2, 2017, : 481 - 484
  • [37] Improving GWAS discovery and genomic prediction accuracy in biobank data
    Orliac, Etienne J.
    Banos, Daniel Trejo
    Ojavee, Sven E.
    Lall, Kristi
    Magi, Reedik
    Visscher, Peter M.
    Robinson, Matthew R.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2022, 119 (31)
  • [38] Improving the Prediction Accuracy of Decision Tree Mining with Data Preprocessing
    Dept. of Computer Science, Kennesaw State University, Marietta
    GA, United States
    不详
    MD, United States
    Proc Int Comput Software Appl Conf, (481-484):
  • [39] Generation of high resolution terrain elevation models for synthetic environments using laser-radar data
    Jungert, E
    Söderman, U
    Ahlberg, S
    Hörling, P
    Lantz, F
    Neider, G
    MODELING, SIMULATION, AND VISUALIZATION FOR REAL AND VIRTUAL ENVIRONMENTS, 1999, 3694 : 12 - 20
  • [40] Effective Model Integration Algorithm for Improving Prediction Accuracy of Healthcare Ontology
    Monika, P.
    Raju, G. T.
    COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING, 2020, 1108 : 1203 - 1212
12345