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Research on Wireless Communications and
Signal Processing
In Two Laboratories at CISSIC:
WCRG: http://www.ece.mtu.edu/ee/faculty/rezaz/wireless_lab/
WLPS: http://www.ece.mtu.edu/pages/research_labs/wlps/index.html
Directed by Dr. Zekavat
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Wireless Communication Research Group (WCRG)
Research on:• MIMO RFID/Cognitive Radio Development;• Ad-hoc Network Capacity;• Information Fusion;• Blind Source Separation;• Optimal Beam forming in Scattering Environment;• Channel Modeling• Time-of-Arrival (TOA) and Direction-of-Arrival (DOA)
Estimation Techniques; • Dynamic Channel Allocation;
14 Graduate Students are involved in WCRG
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Activities inWireless Local Positioning System
(WLPS)
Directed by
Seyed A. (Reza) Zekavat
Michigan Technological University
WLPS patent application was submitted on May 2003.
Supported by NSF ITR for National Priorities
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INTRODUCTION
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An Introduction to Positioning Systems
Global Positioning Systems a. Satellites for Self Positioning, c. Mainly for Navigation, d. Command and Control via Communication, Example: Battlefield Vehicle Control e. Fails to perform in indoor and downtown areas, f. Yet expensive.
Local Positioning Systems
Base
1. Self Positioning
• Navigation (INS)
2. remote positioning
• Command, Control, Monitoring and Tracking
• Active and Passive
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Motivation for WLPSTo develop an active remote positioning system:
Suitable:
• Urban and indoor areas;• Any weather conditions;• Variety of applications (defense, Security, Law enforcement,
Road Safety).• High Pd and low Pfa (Possible via Active Target Systems)
It Means:
• Not limited to the static base station.• Flexible coverage area.• Identify and Discriminate Mobiles;• Need limited Power
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WLPS: An Active Remote Positioning System
• Has 2 main components: Dynamic Base Station (DBS), Transponder (TRX)
• DBS/TRX components can be installed in mobiles (vehicle, people, …)
• Based on application each mobile might be equipped with DBS, TRX or both.
• DBS discriminates mobiles (TRXes) via specific codes assigned to them.
• DBS locates and tracks all mobiles (TRXes).
TRX
TRX
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Positioning via WLPS
Time of Arrival
Time of Arrival Distance of TRX (R)
Direction of arrival (Via antenna arrays at the DBS) Direction of TRX ( )
R, TOA, DOA
ID Request (IDR) Signal transmitted by DBS ID transmitted by the TRX
DBS TRX
ID Request Repetition Time (IRT)
TRX
DBS
Duty Cycle = / IRT
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WLPS Structure
• TRX: CDMA transceiver with omni-directional antenna.
• DBS:
Receiver
Transmitter
ModulatorID Request (IDR) Signal Generator
Antenna Arrays
Omni-directional Antenna
MA RCVR and
DOA finder
Processor(Position Finder)
CDMASpreading
Beamformer& Diversity Combiner
• Hence, DBS transmits ID request signal whenever it is required (Not at all time).• The whole system: FDD/TDD/CDMA communication system.
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PROBABILITY-OF-DETECTION
PERFORMANCE
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Performance Evaluation – TRX ReceiverDS-CDMA: Duty cycle = 0.001, 4 fold diversity
Standard RCVR: Duty cycle = 0.000015, 4 fold diversity
Standard RCVR: Duty cycle = 0.001, 1 fold diversity
● Further improvement is possible by selecting a larger IRT value, or a smaller value. DBS
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RAKE for TRX j
RAKE for TRX j
Beamformer for the1st path of TRX j
COMBINERBeamformer for the
Lth path of TRX j
Decision Rule
ID Detector
)(1 tr
)(2 tr
)(1 trM
)(trM
)(1 iz j
)(iz j
L
)(iz j
RAKE for TRX j
RAKE for TRX j
Beamformer for the2nd path of TRX j
)(2 iz j
DBS Receiver: Beamforming Combined with DS-CDMA
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Performance Evaluation – DBS RCVR
● With the same bandwidth, standard RCVR outperforms DS-CDMA RCVR.● SDMA (beamforming) techniques highly enhances the POD performance.
The best Result with
Beamforming
Standard RCVR
(With the same BW as DS-CDMA)
DS-CDMA RCVR
Standard RCVR
Beam Forming
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Linear Constrained Minimum Variance (LCMV) Beam Forming
• Design criteria:
• Solution:
1)()(..)()(min jq
jq
Hjq
jq
jq
H ts vwwRw
)()(
)()( 1
1
jq
jq
jq
H
jq
jqj
qopt
VRV
VRw
]E[Hj
qjq
jq yyR
In general, LCMV leads to a better removal of interference effects compared to the Conventional Beamforming.
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Covariance Matrix Estimation for LCMV BF
• Definition:
• Standard estimation method:
• Valid if:
• However……
]E[Hj
qjq
jq yyR
1
0
][][1ˆ
n
Hjq
jq
jq nn yyR
]]1[]1[E[]][][E[ nnnnHj
qjq
Hjq
jq yyyy
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Non-Stationarity in WLPS
• For WLPS:
]]1[]1[E[]][][E[ nnnnHj
qjq
Hjq
jq yyyy
Interfering User 1
Desired User
Interfering User 2
Different bits experience different interference
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Solution: Cyclostationarity
Interference Signal: TRX 3
Desired Signal: TRX 1
Interference Signal: TRX 2
Same Interference Same Interference
Received signal in IRT period TReceived signal in IRT period T+1
],[],[1
][ˆ1
0
nnnHj
qjq
jq
yyR
Estimated covariance matrix For nth chip of desired user
Number of Static User Frames Received signal at nth chip of ωth frame
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Probability of Miss-Detection Performance Cyclostationarity remains for 8 frames (IRT)
10 20 30 40 50 60
10-6
10-4
10-2
Number of TRX
Pm
d
Conventional BFStandard LCMV BFProposed LCMV BF
LCMV Beam-forming using cyclostationarity for observed signal covariance matrix highly increases the performance and the capacity.
25 50
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DIRECTION-OF-ARRIVAL (DOA)
ESTIMATION PERFORMANCE
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DOA Estimation
DOA estimation techniques developed using:
1) The notion of Cyclostationarity; and
2) Application of MUSIC algorithm.
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Direction Combining: Approach 1
MUSIC Alg.
MUSIC Alg.
MUSIC Alg.
1̂ 2̂ F̂
Direction Combining
Estimated DOA
TRX1 ID signal:
TRX2 ID signal:
F
iiAppCom F
11
ˆ1ˆ
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Direction Combining: Approach 2
TRX1 ID signal:
TRX2 ID signal:
MUSIC Alg.
MUSIC Alg.
MUSIC Alg.
1̂
2̂
F̂
Dire
ction
Co
mb
inin
g
Estimated DOA
F
i i
F
i i
i
AppCom
12
12
21
ˆ
ˆ
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DOA Mean Square Error Simulation Results
2Real )ˆ( EstEMSE
10 15 20 2510
-4
10-3
10-2
10-1
100
SNR (dB)
Me
an
Sq
ua
re E
rro
r (M
SE
)NocombComb-App1Comb-App2
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Simulation Results (Cont.)
1 2 3 410
-4
10-3
10-2
10-1
100
# of TRX
Me
an
Sq
ua
re E
rro
r (M
SE
)NocombComb-App1Comb-App2
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APPLICATIONS
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Application in Road Safety
• Injuries (or die) of Hundreds of thousands of people. • Intelligent vehicle initiative was announced in 1998 by U.S. DOT.• Eight areas where intelligent systems could “improve” or “impact” safety. 1. Four kinds of collision avoidance: a. rear end, b. lane change and merge, c. road departure, and d. intersection; 2. Two kinds of enhancements: a. vision, and b. vehicle stability, 3. Two kinds of monitoring: c. driver condition and d. driver distraction.
2008 is the Deadline
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Implementation of WLPS for Vehicle-to-Pedestrian Collision Avoidance
• About one Billion people are carrying wireless mobiles,
• Wireless systems offers new services everyday,
• It is anticipated the number of wireless customers increases,
• These people are mainly leaving in urban and highly populated
areas, with high probability of accident.
• WLPS protects wireless customers: Defines a new application
for wireless communications.
• A simple transponder in vehicles prevents Car-to-Car accident.
Application in Road Safety
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Application in Airport Security
• Congress: Improvement of airport security is required [1].
• Security requires: Positioning, Monitoring, Communicating with
individuals, e.g., passengers, employees, guards.
• Desire: Security guards to find the position of everybody with respect to themselves at all times and all positions, inside and outside of the airport, and Whenever it is required.
• Hence, System Characterization: Infrastructure-less
High Probability of Detection
High Coverage (Indoor, Outdoor)
[1] Transportation Security Administration, “Aviation Security: Improvement still Needed in Federal Aviation Security Efforts”, GAO-04-0592T, March 30, 2004.
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Implementation of WLPS for Indoor Areas (e.g., Airports): A Futuristic View
Name : ________Flight No. : ______Gate No. : ________Date: _______Boarding Pass No:__________________
TRX
Plastic Card Boarding Pass
Gate No: ______ Flight No. : _______
Name : ___________
TRX
Wristband Boarding Pass
DBS antenna arrays installed on the belt
● Communication: The wristband can receive the updated gate, flight, etc, information.● Monitoring: The wristband can be equipped with a heart beat sensor which is required: (a) for security guard safety, (b) to make sure the wristband is in its position.
Application in Airport Security
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Central Command and Control
• Specific clusters of ID codes can be assigned to each group of people (employees, passengers, security guards)
Passenger A. W.Security F. E.
Static Base Stations (SBS)
Employee T. H. Flight NW 1234
Application in Airport Security
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Node: WLPS: DBS/TRX
TRX
Com NodeGPS/WLPS/Com
(e.g., Staelleite Com)
Precise Location Information of All Soldiers are Submitted to the Center
via Satellite
1. The position of the Soldier carrying WLPS (DBS and TRX) is computed by the vehicle WLPS.
2. This position, along with the GPS positioning leads to exact position of all soldiers.
The Soldier with WLPS finds the position of all soldiers in its coverage area (equipped
just with a simple TRX)
Central Command and Control
Application in Battlefield Command and Control
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Applications in Law Enforcement:Multi-Agent Operation
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Impact on Research and Education:
Development of a Laboratory for Positioning Studiesat Michigan Tech University
Anechoic Chamber
Scaled Environment
WLPS set (can be installed on a robot)
Relay Antenna
From Relay Antenna
Work Station
This Laboratory will serve many courses:
1. Wireless Communications
2. Advanced Wireless Communications
3. Communication Theory
4. Antennas
5. Robotics
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Conclusions• WLPS is an Active Target Remote Positioning System,• Consists of a Transceiver (TRX) and Dynamic Base Station (DBS),• With a variety of Civilian and Military Applications,• Much Cheaper/less complex than a GPS, • Can be used for Positioning AND Communication,• Can be a node in a MANET (Mobile Adhoc NETworks), • Can be merged with GPS (e.g., in one of the MANET nodes) to provide
Global Positioning for every MANET node,• WLPS, GPS, and Communication merger leads to Central Command
and Control, • An NSF award has been received (Sept. 2004) to initiate basic research
(non-application oriented), • Research is Required for WLPS application-based development,• A WLPS lab has been established at the Dept. of ECE at MTU.
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WLPS Laboratory• The TRX Hardware and Software is complete;
• The DBS Transmitter Hardware and Software is Complete;
• Five Ph.D. Students, three master students and one undergraduate;
• Collaborating with Two Companies: Mercury Data Systems and GCI
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Selected Recent Publications• H. Tong and S. A. Zekavat, “A Novel Wireless Local Positioning System via Asynchronous DS-CDMA and
Beamforming: Implementation and Perturbation Analysis,” to appear in IEEE Transactions on Vehicular Technology, May 2007.
• S. A. Zekavat, and X. Li, “User Central Wireless Systems,” Journal of Communications, vol. 1, no 1, pp. 60 -67, April 2006, Invited paper.
• S. A. Zekavat, and P. T. Keong, “Beam-Pattern-Scanning Dynamic-Time Block Coding: Performance Analysis,” IEEE Transactions on Wireless Communications, vol. 5, no. 9, pp. 2334 – 2337, Sept. 2006.
• H. Tong and S. A. Zekavat, “Spatially Correlated Rayleigh Channel: Generation via Virtual Channel Representation, ” IEEE Communication Letters, vol. 10, no. 05, pp. 332 – 334, May 2006.
• S. A. Zekavat and C. R. Nassar, “Transmit diversity via oscillating beam pattern adaptive antennas: An evaluation using geometric-based stochastic circular-scenario channel modeling,” IEEE Transactions on Wireless Communication, Vol. 4, No. 3, pp. 1134-1141, July 2004.
• S. A. Zekavat, C. R. Nassar and S. Shattil, “Merging multi-carrier CDMA and oscillating-beam smart antenna arrays: Exploiting directionality, transmit diversity and frequency diversity, ” IEEE Transactions on communications, Vol. 52, No. 1, pp. 110 – 119, Jan. 2004.
• H. Tong and S. A. Zekavat, “A simple beamforming-SIMO merger in spatially correlated channel via virtual channel representation,” Proceedings IEEE Globecom 2005, St. Louis, 28 Nov. – 02 Dec., 2005.
• S. A. Zekavat and X. Li, “User-Central Wireless System: Ultimate Dynamic Channel Allocation, ” Proceedings IEEE DySPAN’05, Baltimore, Nov. 8 – 11, 2005 (won graduate student travel award)
• H. Tong and S. A. Zekavat, “Wireless local positioning system implementation via LCMV beamforming, ” Proceedings SPIE’05 Conference on Defense and Security, Orlando, FL, April 2005.
• R. Kulkarni and S. A. Zekavat, “Smart versus blind inter-vendor spectrum sharing for MC-CDMA systems, ” Proceedings WNCG’04 Conference, Austin, TX, Oct. 2004.
• S. A. Zekavat, H. Tong, and J. Tan, "A novel wireless local positioning system for airport (indoor) security, " Proceedings SPIE Conference on Defense and Security 2004, Orlando, FL, pp. 522-533, April 2004.