Study on Tropospheric Scatter Beyond-line-of-sight Channel Transmission Loss for Short-term and Long-term Fading
WEI Peipei① DU Xiaoyan① JIANG Changyin②
①(School of Information Systems Engineering, PLA Information Engineering University, Zhengzhou 450002, China) ②(China Research of Institute of Radiowave Propagation, Xinxiang 453003, China)
Abstract：Tropospheric scatter (Troposcatter) communication is an important means for ground microwave beyond-line-of-sight propagation. Available troposcatter transmission loss models are inefficient to describe the random variables resulting from atmosphere environment and other factors. Therefore, this paper studies the short-term fading and long-term fading characteristics of transmission loss based on those of electric field strength for the first time. The distribution model of transmission loss is modeled, whose parameters are estimated referring to ITU-R P.617-3. Parts of measured scatter links data from International Telecommunication Union (ITU) are chosen to verify this model with normal distribution graph. The result shows that the long-term fading of transmission obeys the normal distribution. It gives the basis of calculating error bit for the further work. In addition, a transmission loss prediction method is proposed based on its distribution model. It is verified to have a good accuracy using measured data, and this method address the problem that available transmission loss methods can not predict the values at any time percentages.
卫佩佩,杜晓燕,江长荫. 对流层散射超视距信道传输损耗快慢衰落特性研究[J]. 电子与信息学报, 2018, 40(7): 1745-1751.
WEI Peipei, DU Xiaoyan, JIANG Changyin. Study on Tropospheric Scatter Beyond-line-of-sight Channel Transmission Loss for Short-term and Long-term Fading. JEIT, 2018, 40(7): 1745-1751.
ERGIN D and OZGUR B A. A ray-based channel model for MIMO troposcatter communications[C]. 2013 IEEE 24th
International Symposium on Personal, Indoor and Mobile Radio Communications: Fundamentals and PHY Track, London, UK, 2013: 243-247.
[2]
WEI Peipei, DU Xiaoyan, YU Haiyan, et al. Troposcatter transmission loss subsection model[C]. 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, San Diego, USA, 2017: 817-818.
[3]
ERGIN D and OZGUR B A. A ray-based channel modeling approach for MIMO troposcatter beyond-Line-of-Sight (b-LoS) communications[J]. IEEE Transactions on Communications, 2015, 63(5): 1690-1699. doi: 10.1109/ TCOMM.2015.2416716.
[4]
张明高. 对流层散射传播[M]. 北京: 电子工业出版社, 2004: 8-52.
ZHANG Minggao. Tropospheric Scattering Propagation[M]. Beijing: Publishing House of Electronics Industry, 2004: 8-52.
[5]
LIU Jiye and CHEN Xihong. Time synchronization for multistatic radar via microwave and troposcatter[J]. IEEE Journal of Engineering, 2017, 1(1): 1-3. doi: 10.1049/joe.2017. 0353.
CHEN Xihong, LIU Zan, LIU Jiye, et al. Estimating tropospheric slant scatter delay at low elevation[J]. Journal of Electronics & Information Technology, 2016, 38(2): 408-412. doi: 10.11999/JEIT150628.
WU Wenyi, CHEN Xihong, and LIU Shaowei. Real-time estimation method for tropospheric scatter slant delay at low elevation[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1326-1332. doi: 10.11999/JEIT160776.
[8]
LI Lei, LIN Leke, WU Zhensen, et al. Study on the maximum calculation height and the maximum propagation angle of the troposcatter wide-angle parabolic equation method[J]. IET Microwaves, Antennas & Propagation, 2016, 10(6): 686-691. doi: 10.1049/iet-map. 2015.0293.
[9]
BOOKER H G and BETTENCOUR J T. Theory of radio transmission by tropospheric scattering using very narrow beams[J]. Proceedings of the IRE, 1955, 43(3): 281-290. doi: 10.1109/JRPROC.1955.278133.
[10]
SILVERMAN R A. Turbulent mixing theory applied to radio scattering[J]. Journal of Applied Physics, 1956, 27(7): 699-705. doi: 10.1063/1.1722469.
[11]
ERGIN D and OZGUR B A. More than the eye can see coherence time and coherence bandwidth of troposcatter links for mobile receivers[J]. 2015, 10(2): 86-92. doi: 10.1109/ MVT.2015.2410786.
[12]
CCIR Document 5/378. Data banks used for testing prediction methods[R]. [1982-1986].
[13]
LONGLE A G, REASONE R K, and FULLER V L. Measured and predicted long term distribution of tropospheric transmission loss[R]. ITS Report OT/TRER, 1971, 7.
CCIR Document IWP 5/2. Prediction of interfering field strengths at UHF and SHF[R]. 1973.
[16]
NBS Technical Note No.101. Transmission loss predictions for tropospheric Communication Circuits[S]. 1967.
[17]
RECOMMENDATION ITU-R P.617-1. Propagation prediction techniques and data required for the design of trans-horizon radio-relay systems[S]. 1992.
[18]
RECOMMENDATION ITU-R P.617-3. Propagation prediction techniques and data required for the design of trans-horizon radio-relay systems[S]. 2013.
[19]
LI Lei, WU Zhensen, LIN Leke, et al. Study on the prediction of troposcatter transmission loss[J]. IEEE Transactions on Antennas & Propagation, 2016, 64(3): 1071-1079. doi: 10.1109/TAP.2016.2515125.
LI Lei, ZHAO Zhenwei, WU Zhensen, et al. Conversion model of annual statistics to worst-month statistics of troposcatter [J]. Journal of Communication, 2016, 37(5): 81-87. doi: 10.11959/j.issn.1000-436x.2016095.
[21]
RECOMMENDATION ITU-R P.841-5. Conversion of annual statistics to worst-month satistics[S]. 2016.
[22]
MEADOWS R W. Tropospheric scatter observations at 3480Mc/s with aerials of variable spacing[J]. Proceedings of the IEE-Part B: Electronic and Communication Engineering, 1961: 349-360. doi: 10.1049/pi-b-2.1961.0061.
[23]
RECOMMENDATION ITU-R P.1057-4. Probability distributions relevant to radiowave propagation modelling[S]. 2015.
LIU Shengmin and XIONG Zhaofei. Tropospheric Scattering Communication Technology[M]. First Edition. Beijing: National Defense Industry Press, 1982: 57-60.
