Cellular Location Detector D0226

End Semester Presentation

Sharon Shlomo Osnat ShlomoSupervisor: Yossi Hipsh

2007Spring

AgendaAgenda General- abstractGeneral- abstract Main GoalMain Goal Work flowWork flow System characterizationSystem characterization AssumptionsAssumptions An exampleAn example ResultsResults ConclusionsConclusions

General- abstractGeneral- abstract

The project “Identifying Cellular Activity”The project “Identifying Cellular Activity”

has two parts:has two parts: Part APart A- Cellular Activity Detection &- Cellular Activity Detection &

Identification (D0426)Identification (D0426)

Part BPart B- Cellular Location Detector (D0226)- Cellular Location Detector (D0226)

General- abstract, cont.General- abstract, cont.

Part A (project D0426) receives the signalsPart A (project D0426) receives the signals

and produces the basic information.and produces the basic information.

Part B (project D0226) process thePart B (project D0226) process the

information from part A and produces theinformation from part A and produces the

location of the cellular activity. location of the cellular activity.

General- abstract, cont.General- abstract, cont.Identifying the cellular activity in the roomIdentifying the cellular activity in the room

will be performed by processing thewill be performed by processing the

information we receive from the energyinformation we receive from the energy

detectors.detectors.

These energy detectors detect energy fromThese energy detectors detect energy from

a cellular phone in the room, and accordinga cellular phone in the room, and according

to the directions of the energy we can to the directions of the energy we can

define the location of the cellular phone. define the location of the cellular phone.

Main Goal

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

Work flow Determine the interfaceDetermine the interface Determine the angular accuracyDetermine the angular accuracy Determine the location accuracyDetermine the location accuracy Determine the antennas' locationDetermine the antennas' location Generic and interactive mode of workGeneric and interactive mode of work Implementing the systemImplementing the system Setting up emulation environmentSetting up emulation environment ImprovementsImprovements

System characterizationInputsInputs 4 power inputs.4 power inputs. Location of the antenna’s and distance Location of the antenna’s and distance

between antenna’sbetween antenna’s Distances to the selected areaDistances to the selected area Z - planeZ - plane

OutputOutput Location of the object.Location of the object.

System characterization

Part BProject D0226

Part AProject D0426

Location of

the object

power_1

power_4

power_2

power_3

R1 R2 R3 R4

Distan

ce b

etwee

n

ante

nnas

Ante

nnas

loca

tion

AssumptionAssumption There is only one cellular phone in the room.There is only one cellular phone in the room. The cellular phone is in the desks plane (at 0.5m The cellular phone is in the desks plane (at 0.5m

height).height). Transmission from the cellular could be everywhere Transmission from the cellular could be everywhere

in the room and anytime (at this system, we ignore in the room and anytime (at this system, we ignore SMS).SMS).

There is no feedback to Part A (project D0426) -even There is no feedback to Part A (project D0426) -even though the feedback should be.though the feedback should be.

An exampleAn example

Here we present an object at the corner of the room

An exampleAn example

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

An exampleAn example

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

An exampleAn 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.

ResultsResultsThe control panelThe 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

ResultsResults

The system calculates the angles according to the power.

ResultsResultsThe output of the system is the location of the object. This location is also marked at the graph.

Supervisor

ResultsResults

%accuracy

error theory simulation

99.07 0.13 14.03 13.9 teta

96.58 0.35 10.25 9.9 phi

96 0.03 0.75 0.72 X

98 0.07 3.5 3.43 Y

We summarized all the results we got, and calculated % accuracy.

ConclusionsConclusions

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.

Thank you allתודה!

!תודה מיוחדת ליוסי היפש

Cellular Location Detector D0226

End Semester Presentation The End…The End…

Sharon Shlomo Osnat ShlomoSupervisor: Yossi Hipsh

Spring 2007