Overcoming Two-Ray Propagation Loss of Parabolic Trajectory Air-Vehicles via Received Signal Strength Prediction in Maritime Environments 


Vol. 42,  No. 7, pp. 1306-1315, Jul.  2017
10.7840/kics.2017.42.7.1306


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  Abstract

If transceiver"s trajectories are given in maritime environment, deep fading location is predictable based on two-ray propagation model. In this paper, we consider a space-time diversity effects by received signal strength(RSS) estimation based on spherical earth reflection model to overcome the deep fading in maritime environment. Especially, we propose efficient space-time diversity scheme by providing simulation results of combined RSS estimation of radio wave signal transmitted from a parabolic trajectory air-vehicle in maritime. Throughout the experimental data of real flight test, we show the accuracy of RSS estimation model by comparing UHF-band RSS and RSS estimation results. Also, we compared the S-band received frame error of multiple antenna sites and expected RSS to show the effects of space-time diversity.

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  Cite this article

[IEEE Style]

J. Kim, "Overcoming Two-Ray Propagation Loss of Parabolic Trajectory Air-Vehicles via Received Signal Strength Prediction in Maritime Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 7, pp. 1306-1315, 2017. DOI: 10.7840/kics.2017.42.7.1306.

[ACM Style]

Jaemin Kim. 2017. Overcoming Two-Ray Propagation Loss of Parabolic Trajectory Air-Vehicles via Received Signal Strength Prediction in Maritime Environments. The Journal of Korean Institute of Communications and Information Sciences, 42, 7, (2017), 1306-1315. DOI: 10.7840/kics.2017.42.7.1306.

[KICS Style]

Jaemin Kim, "Overcoming Two-Ray Propagation Loss of Parabolic Trajectory Air-Vehicles via Received Signal Strength Prediction in Maritime Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 7, pp. 1306-1315, 7. 2017. (https://doi.org/10.7840/kics.2017.42.7.1306)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880