Indoor Positioning Kalid Azad Advisor: Prof. Littman (MAE dept) Co-advisor: Prof. Cook Cs398 Project Proposal.

Slides:



Advertisements
Similar presentations
Wireless LAN RF Principles
Advertisements

The Transmission Control Protocol (TCP) carries most Internet traffic, so performance of the Internet depends to a great extent on how well TCP works.
Radio over fiber.
A Wireless Local Area Network (WLAN) is a network that interconnects devices using radio waves. Wireless networking technologies allow devices to communicate.
Presented by: Richard Wood. Goals and strategies Methods Performance evaluation Performance improvements Remaining Challenges.
Localization with RSSI Method at Wireless Sensor Networks Osman Ceylan Electronics Engineering PhD Student, Istanbul Technical University, Turkiye
Radio Frequency Fundamentals Wireless Networking Unit.
COIN-GPS: Indoor Localization from Direct GPS Receiving.
Unbounded media have network signals that are not bound by any type of fiber or cable; hence, they are also called wireless technologies Wireless LAN.
The WatchMe Project Presented by: Elad Weiss Nir Maoz Supervised by: Edward Bortnikov.
12/6/06 witmer-porter/wsn-location1 Indoor Location Using Wireless Sensor Networks Tim Porter Jeremy Witmer CS 522 Fall 2006 Semester Project.
Indoor Positioning Kalid Azad Advisor: Prof. Littman (MAE dept) Co-advisor: Prof. Cook Cs398 Project Proposal.
1 University of Freiburg Computer Networks and Telematics Prof. Christian Schindelhauer Wireless Sensor Networks 13th Lecture Christian Schindelhauer.
TPS: A Time-Based Positioning Scheme for outdoor Wireless Sensor Networks Authors: Xiuzhen Cheng, Andrew Thaeler, Guoliang Xue, Dechang Chen From IEEE.
12/6/06 witmer-porter/wsn-location1 Indoor Location Using Wireless Sensor Networks Tim Porter Jeremy Witmer CS 522 Fall 2006 Semester Project.
UNIVERSITY of CRETE Fall04 – HY436: Mobile Computing and Wireless Networks Location Sensing Overview Lecture 8 Maria Papadopouli
Chapter Preview  In this chapter, we will study:  The basic components of a telecomm system  The technologies used in telecomm systems  Various ways.
Remote Surveillance Vehicle Design Review By: Bill Burgdorf Tom Fisher Eleni Binopolus-Rumayor.
RADAR: An In-Building RF-Based User Location and Tracking system Paramvir Bahl and Venkata N. Padmanabhan Microsoft Research Presented by: Ritu Kothari.
WALRUS: Wireless Active Location Resolver with Ultrasound Tony Offer, Christopher Palistrant.
© 2006, Cognizant Technology Solutions. All Rights Reserved. The information contained herein is subject to change without notice. Automation – How to.
Dec09-11 Embedded Systems Design Though Curriculum Jacqueline Bannister Luke Harvey Jacob Holen Jordan Petersen Client: Computer Engineering DepartmentAdvisors:
Wireless Transmission Fundamentals (Physical Layer) Professor Honggang Wang
Basics of Wireless Locationing Mikko Asikainen, Msc University of Eastern Finland Department of Computer Science.
Basic Data Communication
Chapter 2.  Types of Network  Circuit Switched & Packet Switched  Signaling Techniques  Baseband & Broadband  Interference  Transmission Medium.
ROBOT LOCALISATION & MAPPING: NAVIGATION Ken Birbeck.
Patient Location via Received Signal Strength (RSS) Analysis Dan Albano, Chris Comeau, Jeramie Ianelli, Sean Palastro Project Advisor Taib Znati Tuesday.
Time of arrival(TOA) Prepared By Sushmita Pal Roll No Dept.-CSE,4 th year.
DESIGN & IMPLEMENTATION OF SMALL SCALE WIRELESS SENSOR NETWORK
Introduction to Sensor Networks Rabie A. Ramadan, PhD Cairo University 3.
Project Description. This project aims to monitor an area through a camera, transmits the video wireless.
Wireless Communications
Precise Indoor Localization using PHY Layer Information Aditya Dhakal.
Technical seminar presentation GLOBAL POSITIONING SYSTEM Gopal Behera Roll#IT [1] The Global Positioning System Presented by Gopal Behera Under.
How Does GPS Work ?. Objectives To Describe: The 3 components of the Global Positioning System How position is obtaining from a radio timing signal Obtaining.
Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors Weikuan Yu Dept. of Computer and Info. Sci. The Ohio State University.
Campus Locator – Cell Phone Interface (May06-05) Dr. John Lamont Prof. Ralph Patterson III Faculty Advisors Iowa State University Senior Design Client.
Chapter 2 Radio Frequency Fundamentals.
Systems Life Cycle A2 Module Heathcote Ch.38.
Phong Le (EE) Josh Haley (CPE) Brandon Reeves (EE) Jerard Jose (EE)
Dec Dec Team Members - Bannister, Jacqueline - EE Petersen, Jordan - CprE Holen, Jacob - CprE Harvey, Luke - CprE Members - Bannister, Jacqueline.
RADAR: an In-building RF-based user location and tracking system
TIU Tracking System Introduction Intel's large and complex validation labs contain many Testing Interface Unit's(TIU) used in validating hardware. A TIU.
Human Tracking System Using DFP in Wireless Environment 3 rd - Review Batch-09 Project Guide Project Members Mrs.G.Sharmila V.Karunya ( ) AP/CSE.
TIU Tracking System Introduction Intel's large and complex validation labs contain many Test Interface Units (TIUs) used in validating hardware. A TIU.
Mobile Computing and Wireless Networking Lec 02
Lecture 4: Global Positioning System (GPS)
Abstract Inexpensive ultrasonic tape measures are available that can only measure perpendicular distances to fairly large, flat surfaces. Complex environments.
GPS & GSM Based Real-Time Vehicle Tracking System.
West Hills College Farm of the Future. West Hills College Farm of the Future Precision Agriculture – Lesson 2 What is GPS? Global Positioning System Operated.
Chapter 2 GPS Crop Science 6 Fall 2004 October 22, 2004.
Student Name USN NO Guide Name H.O.D Name Name Of The College & Dept.
TIU Tracking System Requirements Asset tag’s size: 1” x 1” x 1” Low power consumption Accurate Web application as user interface 2D map display Scalable.
Introduction ProjectRequirements Project Requirements In a previous senior design project, a wireless front-end was added to Iowa State University’s Teradyne.
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
TIU Tracking System Introduction Intel's large and complex validation labs contain many Testing Interface Unit's(TIU) used in validating hardware. A TIU.
The Cricket Compass for Context-Aware Mobile Applications
Your Interactive Guide to the Digital World Discovering Computers 2012 Chapter 9 Networks and Communications.
Revised 10/30/20061 Overview of GPS FORT 130 Forest Mapping Systems.
CHAPTER 8 Communication and Network Copyright © Cengage Learning. All rights reserved.
NTC 362 Week 4 Learning Team Hardware and Software Paper To purchase this material click below link 362-Week-4-Learning-Team-Hardware-and-Software-
Project Proposal Talk Problem Description
Radio Coverage Prediction in Picocell Indoor Networks
How does NASA communicate with a spacecraft?
Software Development Life Cycle (SDLC)
Georg Oberholzer, Philipp Sommer, Roger Wattenhofer
Indoor Localization of Mobile Robots with Wireless Sensor Network Based on Ultra Wideband using Experimental Measurements of Time Difference of Arrival 
A classroom with 0 power usage when not in use
Presentation transcript:

Indoor Positioning Kalid Azad Advisor: Prof. Littman (MAE dept) Co-advisor: Prof. Cook Cs398 Project Proposal

Problem Description What is indoor positioning? Find your location accurately indoors (like GPS) Why is it important? Unsolved problem Indoor robots, underground surveying, detailed maps/directions…

Why is it hard? GPS doesn’t work indoors! No line of sight… No obvious alternative Previous approaches: Psuedo-GPS, IR signal strength, RF, ultrasonic/acoustic… Indoor radio propagation not well studied Reflection, absorption from obstacles Walls/windows/doors have different delays Cost! No $100,000 atomic clocks allowed. Light travels ~ 1 ft/ns Hard to measure propagation delays w/o good clocks Resolution Want ~ 1 ft resolution (not room-level granularity)

Approaches My approach: use phase differences Multiple transmitters send sine waves Receiver notes relative phase differences Calculates how many wavelengths away from transmitter Receiver solves for its position Or, transmit data to central server, which calculates position and sends it back (via wireless network)

My Approach T1 T2 = Possible location 1 wavelength

My Approach Advantages No atomic clock/synchronization, works on RF, good resolution, phase easy to detect Done before? On google, only found 1 paper describing use of phase differences Not done in hardware

Methodology, milestones, and deliverables Steps Extensive survey of current technology Create a method Develop algorithm, order hardware Develop software Proof-of-principle Web-based, GUI Implement in hardware

Methodology, milestones, and deliverables By checkpoint (~1 month) Thoroughly examined existing technology Created algorithm Ordered hardware Begin coding software Deliverables Report Detailed description of algorithm Hardware Requirements Portion of software implementing algorithm

Methodology, milestones, and deliverables Remaining steps for semester Implement algorithm in hardware If possible, use on a vehicle Deliverables by end of semester Detailed algorithm Software implementation Hardware implementation

Methodology, milestones, and deliverables Difficulties A good algorithm is… Cost-effective, precise, easy to implement, without atomic clocks/synchronization, robust… Getting hardware to work properly No specialized hardware for my algorithm Method may not be as precise as planned

Methodology, milestones, and deliverables Fall-back plan Explain what I found with my algorithm Benefits, drawbacks, tradeoffs Measure position with the precision I can Find limitations, sources of errors, effect of various obstacles (walls, doors, windows) If it doesn’t work… Document what doesn’t work, and why Lesson for others =)