Digital radio: coverage prediction and measurements of location variability

2001 ◽  
Author(s):  
P.G. Brown
Keyword(s):  
Digital Radio ◽  
Radio Coverage ◽  
Coverage Prediction

Radio Coverage Prediction

1997 ◽  
pp. 38-60
Author(s):  
R. C. V. Macario
Keyword(s):  
Radio Coverage ◽  
Coverage Prediction

Simulation of Digital Radio Mondiale (DRM) Coverage Prediction – A study case with Radio Republik Indonesia (RRI)

2017 ◽  
Vol 4 (1) ◽  
pp. 32-36
Author(s):  
Nabila Husna Shabrina
Keyword(s):  
Service Planning ◽  
Propagation Model ◽  
System Specification ◽  
Theory Analysis ◽  
Digital Radio ◽  
Analysis And Design ◽  
Transmitter Power ◽  
Antenna Type ◽  
Radio Systems ◽  
Coverage Prediction

In this paper, DRM is applied for simulating coverage prediction in Radio Republik Indonesia (RRI). The proposed method is developed by simulating high frequency propagation from RRI Pro 3 transmitter with VOACAP online software. The simulation is undertaken in some different conditions. The variation of antenna type and transmitter power are observed in the simulation. The time of propagation also discussed to predict the coverage. The result shows that the variation of parameter influences the coverage result of DRM propagation in HF band. Changing the antenna type and time of propagation will make impact in the range of coverage while adding power transmitter gives insignificantly effect to the range of coverage. Keywords—DRM, Prediction Coverage, VOACAP REFERENCES [1] ITU R-REP-BS.2144-2009-PDF-E, “Planning parameters and coverage for Digital Radio Mondiale (DRM) broadcasting at frequencies below 30 MHz”, 2009. [2] M. J. Bradley, “Digital Radio Mondiale: System and Receivers”,Roke Manor Research Ltd, UK, 2003 [3] G. Prieto, I. Pichel, D. Guerra, P. Angueira, J.M. Matias, J.L. Ordiales, A. Arrinda, “Digital Radio Mondiale: Broadcasting and Reception”, IEEE Press, 2004. [4] DRM Features, available under http://www.drm.org [5] “Digital Radio Mondiale (DRM); System Specification,” European Telecommunication Standards Institute (ETSI), ETSI TS 101980, 2001. [6] D. Setiawan, “Alokasi Frekuensi, Kebijakan dan Perencanaan Spektrum Indonesia”, Departemen Komunikasi dan Informatika, 2010. [7] P.A Bradley, Th Dambold, P.Suessmann, “Propagation model for HF Radio Service Planning”, HF Radio Systems and Techniques, Conference Publication No 474 0 IEE, 2000. [8] J.J. Carr, “Practical Antenna Handbook 4th Edition”, McGraw Hill, 1990. [9] J.M Matias et al, “DRM (Digital Radio Mondiale) Local Coverage Tests Using the 26 Mhz Broadcasting Band”, IEEE Transactions on Broadcasting, Vol. 53, No. 1, August 2007. [10] C. A. Balanis, “Antenna Theory Analysis and Design”, 2nd ed, John Wiley & Sons, 2005. [11] Keputusan Direktorat Jendral Pos dan Telekomunikasi Nomor 85/DIRJEN/1999, “Spesifikasi Teknis Perangkat Telekomunikasi, Persyaratan Teknis Perangkat Radio Siaran”, Jakarta, 1999.

Machine Learning-Based Radio Coverage Prediction in Urban Environments

2020 ◽  
Vol 17 (4) ◽  
pp. 2117-2130
Author(s):  
Sanaz Mohammadjafari ◽  
Sophie Roginsky ◽  
Emir Kavurmacioglu ◽  
Mucahit Cevik ◽  
Jonathan Ethier ◽  
...  
Keyword(s):  
Machine Learning ◽  
Urban Environments ◽  
Radio Coverage ◽  
Coverage Prediction

scholarly journals Characterization of Outdoor to Indoor Propagation in Urban Area by Using A Combination of COST231 Walfisch-Ikegami and COST231 Multiwall Models in 1800 Mhz and 2100 Mhz

2018 ◽  
Vol 7 (3.2) ◽  
pp. 698 ◽  
Author(s):  
Maksum Pinem ◽  
Muhammad Zulfin ◽  
S Suherman ◽  
Panangian M. Sihombing ◽  
Sri Indah Rezkika
Keyword(s):  
Urban Area ◽  
Mobile Communication ◽  
Measured Signal ◽  
Indoor Propagation ◽  
Urban City ◽  
Proposed Model ◽  
Radio Coverage ◽  
Information Detection ◽  
Coverage Prediction

Increasing numbers of the mobile communication users in urban city; especially indoor users cause the radio coverage prediction of outdoor to indoor becoming important. Obstacles are the main problems for outdoor to indoor propagation that weaken signal level and worsen information detection. This paper proposes a combination of COST231 Walfisch-Ikegami and COST231 Multiwall to predict the received signal. By comparing the predicted and the measured signal level in the Antara building, Medan city for both 1800 MHz and 2100 MHz channels, the proposed model outperforms the compared method in predicting signal level. The proposed model is able to suppress the prediction deviation 11.035 dB lower than the compared method for Sector A and 5.98 dB lower at Sector B.  

scholarly journals FEATURES OF PLANNING SINGLE-FREQUENCY NETWORKS OF DIGITAL RADIO BROADCASTING TO COVER ROADS

2020 ◽  
pp. 78-84
Author(s):  
D.O. Makoveyenko ◽  
Keyword(s):  
Field Strength ◽  
Gain Control ◽  
Single Frequency ◽  
Digital Radio ◽  
Radio Broadcasting ◽  
Practical Evaluation ◽  
Radio Coverage ◽  
Synchronous Network ◽  
Digital Broadcasting ◽  
Better Than

An analysis of the world experience in the using of broadcasting networks has shown, that currently the most common digital terrestrial broadcasting technology in Europe is DAB / DAB +. The paper considers the results of research on the construction of a single-frequency synchronous network using DAB+ technology for coverage of highways on the example of the Kyiv - Odessa road. The influence of the network amplification effect is considered and quantitative estimates of the total gain in the statistical addition of signals from two transmitters are obtained. For the practical evaluation of the statistical network gain, control points are selected on the section of the route, where the predicted level of field strength from one transmitter is lower than the required value. Using the k-LNM method, it is determined that the resulting predicted value of the field strength exceeds the minimum required, and the corresponding probability of reception in all cases is greater than 99%. The radio coverage parameters of the reception were modeled, according to Recommendation ITU-R P.1812. A comparison of analog and digital radio coverage for the Kyiv-Odessa route showed that coverage in digital broadcasting mode for a 99% probability of reception is better than for analog broadcasting without installing additional transmitters or increasing the power used in analog broadcasting planning.

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