MIMO : system for indoor object detection

MIMO : system for indoor object detection

1. (An Autonomous Institution Affiliated 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 Aims and Objective Work proposed Simulation Result of Object Paths Expected Outcome Reference 3 October 2016 2

3. Abstract A new method for 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. 3 October 2016 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 3 October 2016 4

5. Work Proposed 3 October 2016 5 A1 A2 A3 A4 Target d1 d3 d2 d4 ᶱ

6. 3 October 2016 6 Work Proposed 3 October 2016 6 A1 A2 A3 A4 Target d1 d3 d2 d4 +100 -100 +200 y -x +x

7. Block Diagram 3 October 2016 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. 3 October 2016 8 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 3 October 2016 9 Movement of Object Fixed path Random path Sinusoidal based model Parabolic Model Cubical Model

10. 3 October 2016 10 Numbers of target moving in the indoor area Movement of target moving in the indoor area

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13. Expected Outcome 3 October 2016 13 Improved accuracy of target location Reduced delay time in target detection

14. References 3 October 2016 14 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%2Fieeexplore.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%2Fieeexplore.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%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7365305

15. Thank You 3 October 2016 15 Mentor Project Seminar