Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-25T09:16:14.143Z Has data issue: false hasContentIssue false
  • English
  • Français

Prediction on operating range of passive troposcatter detection system

Published online by Cambridge University Press:  05 November 2018

Zan Liu  and
Xihong Chen
Zan Liu*
Affiliation:
Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, Shaanxi, People's Republic of China
Xihong Chen
Affiliation:
Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, Shaanxi, People's Republic of China
*
Author for correspondence: Zan Liu, E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Electromagnetic wave of enemy radar propagated by troposcatter is a valuable candidate for beyond line-of-sight detection. There is no analytical study considering the operating range of passive troposcatter detection system. In this paper, we study the way to predict the operating range, which is dominated by propagation loss. The key propagation loss models including statistic model and real-time model are analyzed. During deducing the latter loss model, Hopfield model is introduced to precisely describe the tropospheric refractivity. Meanwhile, rain attenuation is also taken into consideration. Several examples demonstrate the feasibility of predicting operating range through the proposed method.

Keywords

Operating rangepassive troposcatter detection systempropagation losstropospheric refractivity
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 1 , February 2019 , pp. 22 - 26
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Yang, F, Xu, Q and Li, B (2017) Ship detection from optical satellite image based on saliency segmentation and structure-LBP feature. IEEE Geoscience & Remote Sensing Letters 14, 1–5.Google Scholar
2.Wang, Z, Wang, M, Wang, Q, Cheng, Z and Zhang, X (2017) Receiving antenna mode of troposcatter passive ranging based on the signal group delay. IET Microwaves, Antennas & Propagation 11, 121–128.Google Scholar
3.Luini, L, Capsoni, C, Riva, C and Emiliani, LD (2015) Predicting total tropospheric attenuation on monthly basis. IET Microwaves, Antennas & Propagation 9, 1527–1532.Google Scholar
4.Wang, M, Wang, Z, Cheng, Z and Chen, J (2018) Target detection for a kind of troposcatter over-the-horizon passive radar based on channel fading information. IET Radar, Sonar & Navigation 12, 407–416.Google Scholar
5.Li, C, Chen, X and Liu, X (2018) Cognitive tropospheric scatter communication. IEEE Transactions on Vehicular Technology 67, 1482–1491.Google Scholar
6.Conti, M, Berizzi, F, Martorella, M, Dalle Mese, E, Peteri, D and Capria, A (2012) High range resolution multichannel DVB-T passive radar. International Journal of Microwave and Wireless Technologies 4, 147–153.Google Scholar
7.Zhang, M (2004) Troposcatter Propagation. Beijing: Publishing House of Electronic Industry.Google Scholar
8.Li, L, Wu, Z, Lin, L, Zhang, R and Zhao, Z-W (2016) Study on the prediction of troposcatter transmission loss. IEEE Transactions on Antennas and Propagation 64, 1071–1079.Google Scholar
9.Dinc, E and Akan, OB (2015) Beyond-line-of-sight ducting channels: coherence bandwidth, coherence time and rain attenuation. IEEE Communications Letter 19, 2274–2277.Google Scholar
10.Gong, S, Yan, D and Wang, X (2016) A novel idea of purposefully affecting radio wave propagation by coherent acoustic source-induced atmospheric refractivity fluctuation. Radio Science 50, 983–996.Google Scholar
11.Grabner, M, Pechac, P and Valtr, P (2017) On horizontal distribution of vertical gradient of atmospheric refractivity. Atmospheric Science Letters 18, 294–299.Google Scholar
12.International Telecommunication Union (2012) Reference standard atmospheres, International Telecommunication Union-Recommendation P.835-5, Geneva, Switzerland.Google Scholar
13.Hopfield, HS (1969) Two-quartic tropospheric refractivity profile for correcting satellite data. Journal of Geophysical Research 74, 4487–4499.Google Scholar
14.Liu, Z, Chen, X, Li, C and Liu, Q (2018) Research on detection performance of passive detection system based on troposcatter. AEU-International Journal of Electronics and Communications 95, 170–176.Google Scholar
15.Abdulrahman, AY, bin abdurahman, T, kamal bin Abdulrahim, S and Kesavan, U (2011) Comparison of measured rain attenuation and ITU-R predictions on experimental microwave links in Malaysia. International Journal of Microwave and Wireless Technologies 3, 447–483.Google Scholar
16.International Telecommunication Union (2016) Attenuation by atmospheric gases, Recommendation International Telecommunication Union-Recommendation P.676-11, P Series, Geneva, Switzerland, Geneva, Switzerland.Google Scholar
17.Dinc, E and Akan, OB (2015) A nonuniform spatial rain attenuation model for troposcatter communication links. IEEE Wireless Communications Letter 4, 441–444.Google Scholar