1. Cellular Location Detector D0226 End Semester Presentation Sharon Shlomo Osnat Shlomo Supervisor: Yossi Hipsh 2007Spring

2. Agenda  General- abstract  Main Goal  Work flow  System characterization  Assumptions  An example  Results  Conclusions

3. General- abstract The project “Identifying Cellular Activity” has two parts: Part A- Cellular Activity Detection & Identification (D0426) Part B- Cellular Location Detector (D0226)

4. General- abstract, cont. Part A (project D0426) receives the signals and produces the basic information. Part B (project D0226) process the information from part A and produces the location of the cellular activity.

5. General- abstract, cont. Identifying the cellular activity in the room will be performed by processing the information we receive from the energy detectors. These energy detectors detect energy from a cellular phone in the room, and according to the directions of the energy we can define the location of the cellular phone.

6. Main Goal The main goal of the project is to determine the location of the cellular activity in the room, by processing the signals we receive from the antennas.

7. Work flow  Determine the interface  Determine the angular accuracy  Determine the location accuracy  Determine the antennas' location  Generic and interactive mode of work  Implementing the system  Setting up emulation environment  Improvements

8. System characterization Inputs 4 power inputs. 4 power inputs. Location of the antenna’s and distance between antenna’s Location of the antenna’s and distance between antenna’s Distances to the selected area Distances to the selected area Z - plane Z - planeOutput Location of the object. Location of the object.

9. System characterization Part B Project D0226 Part A Project D0426 Location of the object power_1 power_4 power_2 power_3 R1 R2 R3 R4 Distance between antennas Antennas location

10. Assumption  There is only one cellular phone in the room.  The cellular phone is in the desks plane (at 0.5m height).  Transmission from the cellular could be everywhere in the room and anytime (at this system, we ignore SMS).  There is no feedback to Part A (project D0426) -even though the feedback should be.

11. An example Here we present an object at the corner of the room

12. An example At this example the object is located at (0.75,3.5). The distances at this example are:

13. An example We calculate the real angles at this example and found, at the emulation we have, the powers that match these angles.

14. An example With all these inputs, the system calculates the location of the object. These calculations are based on a sinc-antenna with a parametric amplitude.

15. Results The control panel Distance between the antennas Gain of the antenna Distances from the selected area Power of each beam Teta, Phi Location of the object in the room

16. Results The system calculates the angles according to the power.

17. Results The output of the system is the location of the object. This location is also marked at the graph. Supervisor

18. Results simulationtheoryerror%accuracy teta13.914.030.1399.07 phi9.910.250.3596.58 X0.720.750.0396 Y3.433.50.0798 We summarized all the results we got, and calculated % accuracy.

19. Conclusions  Under all assumptions and restrictions, we can say that the system performances are as expected.  The error we got is ~7.6cm. The error that was defined is 25cm, hence the simulation is not adding too much error.

20. Thank you all תודה ! תודה מיוחדת ליוסי היפש!

21. The End… Cellular Location Detector D0226 End Semester Presentation The End… Sharon Shlomo Osnat Shlomo Supervisor: Yossi Hipsh Spring 2007