logging in or signing up RADAR Tracking system using neural networks vallibhargavi 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: 537 Category: Science & Tech.. License: All Rights Reserved Like it (3) Dislike it (0) Added: March 06, 2011 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... By: deepakcsit.verma (11 month(s) ago) gud Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript Slide 1: Duo Quest Welcome toSlide 2: RADAR Tracking System Using Neural NetworksSlide 3: What How Pitfalls Kalman Filters Neural Networks FAQ & Reference AgendaSlide 4: RADAR INS Neural Networks What Speed Longitude Latitude AltitudeSlide 5: 0416 3E6B 2446 FFE1 ……. How 0020 3D26 FE00 FCD9 03C5 F1BC 0004 8166 AC72 0015 023E AC5F ADEC 0004 0010 0416 3E6B 2446 FFE1 DA7A 0E23 9BC6 36E1 BAC3 09EB 8511 0000 00A0 0080 0009 0009 0002 1. RADAR 2.Recevier 3. INS 4. Kalman Filter / Neural Filter 5. Work Station 6. Plotter 0020 3D26 FE00 FCD9 FCD9 03C5 F1BC 0004 8166 AC72 0015 023E AC5F ADEC 0004 0010 DA7A 0E23 9BC6 36E1 BAC3 09EB 8511 0000 0080 0009 0009 0002 Speed Altitude Latitude Acceleration Longitude ……. …….Slide 6: Pitfalls Overlapping of signals Hijacking Inaccurate results Third party Signals Signal 1 Signal 2 Signal 3Slide 7: Kalman Filters Step 1 Step 2 Step 3 Step 4 ? ? ? Step n Predict UpdateSlide 8: Kalman Filters Step 6 Kalman Filters Drawbacks Not an intelligent flow Doesn't work in Natural Calamities 20% chances to give inaccurate resultsSlide 9: RADAR Neural Networks 0020 3D26 FE00 FCD9 03C5 F1BC 0004 8166 AC72 0015 023E AC5F ADEC 0004 0010 0416 3E6B 2446 FFE1 DA7A 0E23 9BC6 36E1 BAC3 09EB 8511 0000 00A0 0080 0009 0009 0002 Comparing the Sequence of radar Signal for more accuracy Plotting of Graph With accurate valuesSlide 10: CONCLUSIONQuery’s: Query’sSlide 12: www.nasa.com www.wikipedia.com/Radar www.wikipedia.org/wiki/Kalman_filter www.wikipedia.org/wiki/Neural_network ReferencesSlide 13: Presented by B. Ramya Valli Bhargavi Thank you You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
RADAR Tracking system using neural networks vallibhargavi 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: 537 Category: Science & Tech.. License: All Rights Reserved Like it (3) Dislike it (0) Added: March 06, 2011 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... By: deepakcsit.verma (11 month(s) ago) gud Saving..... Post Reply Close Saving..... Edit Comment Close Premium member Presentation Transcript Slide 1: Duo Quest Welcome toSlide 2: RADAR Tracking System Using Neural NetworksSlide 3: What How Pitfalls Kalman Filters Neural Networks FAQ & Reference AgendaSlide 4: RADAR INS Neural Networks What Speed Longitude Latitude AltitudeSlide 5: 0416 3E6B 2446 FFE1 ……. How 0020 3D26 FE00 FCD9 03C5 F1BC 0004 8166 AC72 0015 023E AC5F ADEC 0004 0010 0416 3E6B 2446 FFE1 DA7A 0E23 9BC6 36E1 BAC3 09EB 8511 0000 00A0 0080 0009 0009 0002 1. RADAR 2.Recevier 3. INS 4. Kalman Filter / Neural Filter 5. Work Station 6. Plotter 0020 3D26 FE00 FCD9 FCD9 03C5 F1BC 0004 8166 AC72 0015 023E AC5F ADEC 0004 0010 DA7A 0E23 9BC6 36E1 BAC3 09EB 8511 0000 0080 0009 0009 0002 Speed Altitude Latitude Acceleration Longitude ……. …….Slide 6: Pitfalls Overlapping of signals Hijacking Inaccurate results Third party Signals Signal 1 Signal 2 Signal 3Slide 7: Kalman Filters Step 1 Step 2 Step 3 Step 4 ? ? ? Step n Predict UpdateSlide 8: Kalman Filters Step 6 Kalman Filters Drawbacks Not an intelligent flow Doesn't work in Natural Calamities 20% chances to give inaccurate resultsSlide 9: RADAR Neural Networks 0020 3D26 FE00 FCD9 03C5 F1BC 0004 8166 AC72 0015 023E AC5F ADEC 0004 0010 0416 3E6B 2446 FFE1 DA7A 0E23 9BC6 36E1 BAC3 09EB 8511 0000 00A0 0080 0009 0009 0002 Comparing the Sequence of radar Signal for more accuracy Plotting of Graph With accurate valuesSlide 10: CONCLUSIONQuery’s: Query’sSlide 12: www.nasa.com www.wikipedia.com/Radar www.wikipedia.org/wiki/Kalman_filter www.wikipedia.org/wiki/Neural_network ReferencesSlide 13: Presented by B. Ramya Valli Bhargavi Thank you