WEI Z H, TANG W C, LI B Z, et al. Simulation research on a localization method based on similarity of relief terrain and radiated electric field distribution[J]. Chinese journal of radio science,2021,36(5):737-746. (in Chinese). DOI: 10.12265/j.cjors.2020131
      Citation: WEI Z H, TANG W C, LI B Z, et al. Simulation research on a localization method based on similarity of relief terrain and radiated electric field distribution[J]. Chinese journal of radio science,2021,36(5):737-746. (in Chinese). DOI: 10.12265/j.cjors.2020131

      Simulation research on a localization method based on similarity of relief terrain and radiated electric field distribution

      • In the process of fingerprint location based on received signal strength indicator (RSSI), its field strength map is usually constructed in the offline phase. However, when the field strength map is built, the complexity of mountain terrain often makes it difficult to determine the location of the survey area. To solve the problem of how to locate these measurement areas which lack position information, this paper proposes a location method based on the similarity of relief terrain and radiated electric strength distribution. The method utilizes the two laws that the change trend of electric field strength rapidly decays near the emitting source is similar to the change trend of topographic relief height drop, and the interference fringe shape of the radiated electric field is similar to the topographic profile, and the similarity between the two is characterized by two-dimensional correlation coefficient, and the position of the measuring area in the geographical environment is effectively determined by using template matching algorithm. In this paper, two-dimensional random rough surface is used to simulate undulating terrain, and the effectiveness of the method is verified by multi-angle simulation experiments under different positions, template areas of different sizes, and different heights of transmitting antennas and different topography and geomorphology, with the overlap rate as the performance evaluation index.
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