logging in or signing up MicroCol 1999 - Deterministic Urban Wave Propagation Models bpelhos Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 18 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: January 31, 2012 This Presentation is Public Favorites: 0 Presentation Description Presented on MicroCol conference in 1999 Comments Posting comment... Premium member Presentation Transcript Deterministic Urban Wave Propagation Models: Deterministic Urban Wave Propagation Models L. Nagy, Z. Sándor, I. Laki, B. Pelhős TUB, Department of Microwave TelecommunicationContents: Contents Wave propagation models Empirical, semi-empirical models Deterministic models - Ray Tracing Description of the model presented Vertical and transversal propagation planes Physical phenomena (diffraction,reflection) Databases Investigation of the model Test area in Budapest Test area in M unich Future plansPropagation planes of the model: Propagation planes of the model Vertical profile perpendicular plane between the mobile and base station primary diffraction on rooftops multiple diffraction diffraction on the opposite wall Transversal profile perpendicular to the vertical one diffraction on the edges of buildings reflection on the perpendicular wallsPhysical phenomena: Physical phenomena Direct rays Speculative reflection Diffraction Geometrical Theory of Diffraction [ Keller, 1962 ] Uniform Geometrical Theory of Diffraction [ Kouyoumijan, 1974 ]Databases: Databases General Vectorial Raster Studied databases Vectorial data of buildings Raster data of terrain Flat roof tops Walls made of brick No vegetation Test areas Budapest, at Nyugati railway station The City of MunichTest area in Budapest - Measuring routes : Test area in Budapest - Measuring routes A: 45 points B: 44 points C: 45 points D: 32 points E: 60 points F: 60 points Database frequency = 952 MHz number of walls = 2544 number of buildings = 510 avg. building height =124.3 m base station height = 146 mTest area in Budapest - Results: Test area in Budapest - Results Route CTest area in Budapest - Results: Test area in Budapest - Results Route FTest area in Munich - Measuring routes : Test area in Munich - Measuring routes 0: 1030 points 1: 970 points 2: 355 points Database frequency = 947 MHz number of walls = 17445 number of buildings = 2088 avg. building height = 532.5 m base station height = 526 mTest area in Munich - Results: Test area in Munich - Results - 70 pixels -Test area in Munich - Results: Test area in Munich - Results - 110 pixels -Future plans: Future plans Decrease of simulation time with sorting the data in databases Reduce the mean error with improving of the databases correcting the precision of vectorial data building parameters roughness of wall surface Wide band simulation delay spread calculation You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
MicroCol 1999 - Deterministic Urban Wave Propagation Models bpelhos Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 18 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: January 31, 2012 This Presentation is Public Favorites: 0 Presentation Description Presented on MicroCol conference in 1999 Comments Posting comment... Premium member Presentation Transcript Deterministic Urban Wave Propagation Models: Deterministic Urban Wave Propagation Models L. Nagy, Z. Sándor, I. Laki, B. Pelhős TUB, Department of Microwave TelecommunicationContents: Contents Wave propagation models Empirical, semi-empirical models Deterministic models - Ray Tracing Description of the model presented Vertical and transversal propagation planes Physical phenomena (diffraction,reflection) Databases Investigation of the model Test area in Budapest Test area in M unich Future plansPropagation planes of the model: Propagation planes of the model Vertical profile perpendicular plane between the mobile and base station primary diffraction on rooftops multiple diffraction diffraction on the opposite wall Transversal profile perpendicular to the vertical one diffraction on the edges of buildings reflection on the perpendicular wallsPhysical phenomena: Physical phenomena Direct rays Speculative reflection Diffraction Geometrical Theory of Diffraction [ Keller, 1962 ] Uniform Geometrical Theory of Diffraction [ Kouyoumijan, 1974 ]Databases: Databases General Vectorial Raster Studied databases Vectorial data of buildings Raster data of terrain Flat roof tops Walls made of brick No vegetation Test areas Budapest, at Nyugati railway station The City of MunichTest area in Budapest - Measuring routes : Test area in Budapest - Measuring routes A: 45 points B: 44 points C: 45 points D: 32 points E: 60 points F: 60 points Database frequency = 952 MHz number of walls = 2544 number of buildings = 510 avg. building height =124.3 m base station height = 146 mTest area in Budapest - Results: Test area in Budapest - Results Route CTest area in Budapest - Results: Test area in Budapest - Results Route FTest area in Munich - Measuring routes : Test area in Munich - Measuring routes 0: 1030 points 1: 970 points 2: 355 points Database frequency = 947 MHz number of walls = 17445 number of buildings = 2088 avg. building height = 532.5 m base station height = 526 mTest area in Munich - Results: Test area in Munich - Results - 70 pixels -Test area in Munich - Results: Test area in Munich - Results - 110 pixels -Future plans: Future plans Decrease of simulation time with sorting the data in databases Reduce the mean error with improving of the databases correcting the precision of vectorial data building parameters roughness of wall surface Wide band simulation delay spread calculation