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September 2004 Z. Sahinoglu, Mitsubishi Electric research Labs Slide 1 doc.: 15-04-0522-01- 004a Submiss ion A Hybrid TOA/RSS Based Location Estimation Zafer Sahinoglu, [email protected] Digital Communications and Networking Group, MTL September 14 th , 2004

A Hybrid TOA/RSS Based Location Estimation

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A Hybrid TOA/RSS Based Location Estimation. Zafer Sahinoglu, [email protected] Digital Communications and Networking Group, MTL September 14 th , 2004. Outline. Hybrid ranging observation scenarios Modeling of RSS and TOA observations Problem formulation and Derivation of CRBs Results - PowerPoint PPT Presentation

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Page 1: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 1

doc.: 15-04-0522-01-004a

Submission

A Hybrid TOA/RSS Based Location Estimation

Zafer Sahinoglu, [email protected]

Digital Communications and Networking Group, MTL

September 14th, 2004

Page 2: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 2

doc.: 15-04-0522-01-004a

Submission

Outline

Hybrid ranging observation scenarios Modeling of RSS and TOA observations Problem formulation and Derivation of CRBs Results Summary and Conclusions

For More Details Proc. IEEE ICC 2004, June 2004, Paris IEEE Communications Letters, to appear in October 2004

Page 3: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 3

doc.: 15-04-0522-01-004a

Submission

Hybrid Ranging Observation Scenarios

Page 4: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 4

doc.: 15-04-0522-01-004a

Submission

Wideband Channel Measurement Experiment [PATWARI]

Office area partitioned by 1.8m high cubicle walls DSSS Tx and Rx (Sigtek model ST-515) 40MHz chip rate, fc = 2.443GHz Omni-directional antennas 1m above the floor The Rx

Down converts and correlates I and Q samples with the known PN signal and outputs a power-delay profile (PDP)

Samples of the leading edge of the PDP is compared to an over-sampled (120MHz) template of the auto-correlation of the PN

SNR>25dB

Page 5: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 5

doc.: 15-04-0522-01-004a

Submission

Modeling of TOA and RSS Observations

RSS obscured by log-normal shadowing Frequency-selective fading reduced by wideband average Time-averaging reduce fading due to motion of objects in channel, reciprocal

channel averaging helps to reduce device calibration errors Log-normal shadowing remains

TOA is affected predominantly by multipath Positive bias due to multipath assumed known and subtracted

Resulting statistic:

0

,100,

,,,

log10)dBm()dBm(

)dB()dBm()dBm(

d

dnPP

XPP

jiji

jijiji

2, ,0~)dB( shji NX

2,, ,~ Tjiji cdNT

Page 6: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 6

doc.: 15-04-0522-01-004a

Submission

Relative Location Estimation Problem

1 sensor device (SN) m TOA devices with indexes 1,…,m n RSS devices with indexes m+1,…m+n

Estimate the actual coordinate

TOA observation: [ Ti,j ], time delay between devices i and j

RSS observation: [ Pi,j ], received power at device j from i The estimation is based on (m-1) TOA and n RSS observations in the

TDOA/RSS case Observation vector:

X = [XT ; XR]= [ T1,2, T2,3…,Tm-1,m ; P0,m+1,…, P0,m+n ], TDOA/RSS hybrid scheme X = [XT ; XR]= [ T1, T2…,Tm ; P0,m+1,…, P0,m+n ], TOA/RSS hybrid scheme

000 , yx

Page 7: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 7

doc.: 15-04-0522-01-004a

Submission

Motivation for the Cramer-Rao Study The CRB provides the lower bound on the covariance matrix of any unbiased

estimator Theoretical confirmation of whether a given scheme can satisfy applications

precision ranging requirements Quantification of how random system/environment variables affect the precision

ranging Useful for selection and optimization of design parameters

The CRB of any unbiased estimator is

is the Fisher Information Matrix

The log-likelihood function is

10 0ˆcov( ) ( )I

)( 0I ))(()( 00 00 XlEI

RSS

R

RSSTOA TOA

TNi

iXNNi Ni

iiXi PfTflXl )|(log)|(log)|( 0,0|01,|,00 00

Page 8: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 8

doc.: 15-04-0522-01-004a

Submission

2

0,0,

,22

0,

2,

222,222

20,22

2

)(1

)(

RSS RSSTDOA RSSTDOA TDOA

RSS

NijiNj ji

ji

Ni Nj j

ji

Ni TjiNj

jiT

Nii

T

TDOA

CRB

dd

Ab

d

A

cb

Ac

dbc

Ncard

Derivation of the CRB in TOA/RSS

210

log10p

sh

nb

where and 0 , ,,

,0 ,0

i j i ji j

i j

d dA

d d

The CRB

TOA/RSS contribution RSS contributionTOA contribution

Page 9: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 9

doc.: 15-04-0522-01-004a

Submission

Definition: Geometric Conditioning

Illustration of the geometric conditioning (A1,2) of devices “1” and “2” with respect to device “0”.

1 0

2

d0x1,2

A

B C

D

0,20,1

2,12,102,1 dd

ddA x

Page 10: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 10

doc.: 15-04-0522-01-004a

Submission

The CRB for TOA vs TOA/RSS

/ 2dB Pn 8.1Tc / 2dB Pn 8.1Tc

Four reference devices at four corners, separation 18m RSS suppresses singularities of TOA at corners Figures below gives in metersCRB

Page 11: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 11

doc.: 15-04-0522-01-004a

Submission

2

0,0,

,22

0,

,,1

20,

20,1,1

222

,,1,1222

20,,12222

2

)(

)()2(

1

cos2

1)(

RSS RSSTDOA

RSS

TDOA TDOA

TDOA RSS

NijiNj ji

ji

Ni

Nj i

jij

ii

Ni TjiNj

jijiT

Ni Niij

TT

TDOA

CRB

dd

Ab

d

AA

ddA

cb

AAAc

dbcc

Ncard

Derivation of the CRB in TDOA/RSS The variance of the TDOA observations are twice higher than the TOA 1 TOA measurement is sacrificed for offset removal The CRB must therefore be higher than the TOA/RSS Geometric conditioning of APRs with respect to RNs directly affect the bound

TDOA/RSS contribution RSS contributionTDOA contribution

1: index of the reference APR

Page 12: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 12

doc.: 15-04-0522-01-004a

Submission

The CRB for TOA/RSS vs TDOA/RSS

In TDOA/RSS, one reference device placed in the center, the other three around a circle to maintain a symmetric plot

The radius of the circle is selected such that the area would be equal to 18x18m square

TDOA/RSS inferior due to sacrificing 1 independent TOA measurement and increased standard deviation

The plots show the bounds in meters (np = 2.3)

/ 2dB Pn 8.1Tc / 2dB Pn 8.1Tc

Page 13: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 13

doc.: 15-04-0522-01-004a

Submission

The Spatial Average of the CRBs

/ 2dB Pn 8.1Tc

Spa

tial

mea

n of

the

low

er b

ound

in m

eter

s

CRB

Device separation around the square (in meters)

Page 14: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 14

doc.: 15-04-0522-01-004a

Submission

Summary and Discussion The Cramer Rao Bounds of the hybrid schemes are given The RSS measurements can be used to refine wideband TOA based

estimations in short ranges The hybrid schemes TDOA/RSS and TOA/RSS have lower CRBs than TOA or RSS

based schemes alone

The following areas can be explored to be factored into the analysis of the CRBs to derive more accurate bounds

Page 15: A Hybrid TOA/RSS Based  Location Estimation

September 2004

Z. Sahinoglu, Mitsubishi Electric research LabsSlide 15

doc.: 15-04-0522-01-004a

Submission

References[PATWARI] N. Patwari, A. O. Hero, M. Perkins, N. S. Correal, R. J. O’Dea “Relative Location Estimation in Wireless Sensor

Networks,” IEEE Trans. Signal Processing, vol. 51, pp. 2137-2148, August 2003

[CAPKUN] S. Capkun, M. Hamdi, and J.-P. Hubaux. GPS-free positioning in mobile ad-hoc network. In 34th IEEE Hawaii International Conference on System Sciences (HICSS-34), Jan. 2001

[DOHERTY] L. Doherty, K. S. pister, and L. E. Ghaoui. Convex position estimation in wireless sensor networks. In IEEE INFOCOM, vol. 3, pages 1655 –1663, 2001.

[ALBOVITCZ] J. Albowicz, A. Chen, and L. Zhang. Recursive position estimation in sensor networks. In IEEE International Conference on Network Protocols, pp. 35–41, Nov 2001.