TY - GEN
T1 - GIS-Based Passive Location Method by Inverse Calculation
AU - Zhou, Fangyu
AU - Dai, Fei
AU - Fu, Xinkai
AU - Xu, Xiaowen
AU - Teng, Tao
N1 - Publisher Copyright:
© 2018 ACES.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In order to overcome the influence of complex geographical environment on location of emitter, this paper proposes a passive localization method by signal magnitude reverse calculation based on GIS (Geographical Information System). In this method, the magnitude of suspected signal source for each monitoring station could be acquire by radio propagation models. Through the comparison of magnitude distribution maps of suspected signal source, the position with equal magnitude is the estimated position. This method converts the distance and direction solving problems into the path attenuation problem, which can effectively reduce the influence of electromagnetic wave diffraction and multipath effects. Through simulation and verification of electromagnetic simulation on software WRAP, it is confirmed that this method can achieve the positioning of unknown signal sources in complex geographical environments.
AB - In order to overcome the influence of complex geographical environment on location of emitter, this paper proposes a passive localization method by signal magnitude reverse calculation based on GIS (Geographical Information System). In this method, the magnitude of suspected signal source for each monitoring station could be acquire by radio propagation models. Through the comparison of magnitude distribution maps of suspected signal source, the position with equal magnitude is the estimated position. This method converts the distance and direction solving problems into the path attenuation problem, which can effectively reduce the influence of electromagnetic wave diffraction and multipath effects. Through simulation and verification of electromagnetic simulation on software WRAP, it is confirmed that this method can achieve the positioning of unknown signal sources in complex geographical environments.
KW - GIS
KW - Magnitude Distribution
KW - Passive Localization
KW - Radio Propagation Model
KW - WRAP
UR - https://www.scopus.com/pages/publications/85063775242
U2 - 10.23919/ACESS.2018.8669312
DO - 10.23919/ACESS.2018.8669312
M3 - 会议稿件
AN - SCOPUS:85063775242
T3 - 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
BT - 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
Y2 - 29 July 2018 through 1 August 2018
ER -