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MIMO : system for indoor object detection
- 1. (An Autonomous InstitutionAffiliated to Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur) MIMO based Indoor Object detection system using Doppler effect and Fuzzy logic Under the Guidance of Dr Mrs S V Rathkanthiwar Presented By Chaitali A Darode M.Tech III Sem (Electronics Engg.) Department of Electronics Engineering Yeshwantrao Chavan College of Engineering
- 2. Content • Abstract • Aimsand Objective • Work proposed • Simulation Result of Object Paths • Expected Outcome • Reference 30 May 2024 2
- 3. Abstract A new methodfor target localization using MIMO system is proposed. Localization of a moving target is possible by using Doppler effect, angle measurement and Time of arrival. In this project , we propose MIMO-Doppler effect system for moving target detection. In the target detection, multipath reflections by wall , buildings and other obstacles often make target detection difficult. Doppler effect is introduced to remove these undesired response and extract echoes by target in motion. Also fuzzy logic technique is introduced in the MIMO-Doppler effect System so as to improve the accuracy and reduce the target detection time. 30 May 2024 3
- 4. Aims and Objectives •To detect the position and path of movement of an object moving inside a area • To reduce the delay in finding the exact location of moving object • To improve the accuracy of the object detection 30 May 2024 4
- 5. Work Proposed 30 May2024 5 A1 A2 A3 A4 Target d1 d3 d2 d4 ᶱ
- 6. 30 May 20246 Work Proposed 30 May 2024 6 A1 A2 A3 A4 Target d1 d3 d2 d4 0 +100 -100 0 +200 y -x +x
- 7. Block Diagram 30 May2024 7 Receiver (Signal Reception) Parameter Prediction Detection and tracking Performance, optimization and error detection using fuzzy Controller Library of sensor action Transmitter (Signal illumination) Target and Environment Block diagram of Proposed system
- 8. 30 May 20248 Work Proposed Development of network with nodes and sensors Development of Doppler effect based localization scheme as per the base paper Evaluation of accuracy for the Doppler based scheme Development of fuzzy based scheme for localization the object Evaluation of accuracy and comparison with the previous works Designing flow
- 9. Movement of Object 30May 2024 9 Movement of Object Fixed path Random path Sinusoidal based model Parabolic Model Cubical Model
- 10. 30 May 202410 Numbers of target moving in the indoor area Movement of target moving in the indoor area
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- 13. Expected Outcome 30 May2024 13 • Improved accuracy of target location • Reduced delay time in target detection
- 14. References 30 May 202414 • Yilmaz kalkan, Buyurman baykal,” MIMO Radar Target Localization by Using Doppler Shift Measurement”, Proceedings of the 6th European Radar Conference, 30 September - 2 October 2009, Rome, Italy, http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5307131&url=http%3A%2F%2Fie eexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5307131 • Vishal Chandrasekaran, Keshav Narayan, Romil Kumar Vasani, Vidhya Balasubramanian,” InPLaCE RFID: Indoor Path Loss Translation forObject Localization in Cluttered Environments”, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP),Singapore, 7-9 April 2015, http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7106910&url=http%3A%2F%2Fie eexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7106910 • Hiroyoshi Yamada, Yosuke Wakamatsu, Kohei Sato, Yoshio Yamaguchi,” Indoor Human Detection by Using Quasi-MIMO Doppler Radar”, The 2015 International Workshop on Antenna Technology,Seoul, 4-6March 2015,978-1-4799-7717-8 ©2015 IEEE , http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7365305&url=http%3A%2F%2Fie eexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7365305
- 15. Thank You 30 May2024 15 Mentor Project Seminar