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Keywords
(8)
Least Squares Solution
Linear Least Square
Noise Measurement
Nonlinear Least Squares
Path Loss
Random Variable
Received Signal Strength
Power Law
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A nearoptimal least squares solution to received signal strength difference based geolocation
A nearoptimal least squares solution to received signal strength difference based geolocation,10.1109/ICASSP.2011.5947017,Sichun Wang,Robert Inkol
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A nearoptimal least squares solution to received signal strength difference based geolocation
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Citations: 1
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Sichun Wang
,
Robert Inkol
A simple geometric interpretation for
received signal strength
(RSS) difference based geolocation can be illustrated by considering a plane containing a single pair of receivers and a transmitter. If the
path loss
follows a simple inverse power law, the RSS difference (in decibels) between the two receivers can be shown to de� ne a circle on which the transmitter must lie. With additional receivers, the position of the transmitter can be solved by� nding the common intersection of the circles correspondingto the different pairs of receivers. In practice, the solution of this problem is complicated by the errors contributed by environmental noise, measurement errors and the deviation of the actual path losses from the model. The optimal
nonlinear least squares
solution can be obtained by performing a search on a planar grid. However, the computational cost becomes an issue when the number of receivers is large. This paper presents an ef� cient
least squares solution
whose performance approaches that of the optimal
nonlinear least squares
solution.
Conference:
International Conference on Acoustics, Speech, and Signal Processing  ICASSP
, pp. 26002603, 2011
DOI:
10.1109/ICASSP.2011.5947017
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Citation Context
(1)
...An alternative approach to linearizing the nonlinear system described in Equation (9) has been developed at DRDC Ottawa [
5
]...
Brad R. Jackson
,
et al.
Received signal strength difference emitter geolocation least squares ...
References
(4)
Empirical formula for propagation loss in land mobile radio services
(
Citations: 677
)
M. Hata
Journal:
IEEE Transactions on Vehicular Technology  IEEE TRANS VEH TECHNOL
, vol. 29, no. 3, pp. 317325, 1980
Dynamic Path Loss Exponent and Distance Estimation in a Vehicular Network Using Doppler Effect and Received Signal Strength
(
Citations: 2
)
Nima Alam
,
Asghar Tabatabaie Balaie
,
Andrew G. Dempster
Conference:
Vehicular Technology, IEEE Conference  VTC Spring
, pp. 15, 2010
On the accuracy of a cellular location system based on rss measurements
(
Citations: 55
)
A. j. Weiss
Conference:
Vehicular Technology Conference  VTC
, 2003
Received signal strength based mobile positioning via constrained weighted least squares
(
Citations: 29
)
K. W. Cheung
,
H. C. So
,
W.K. Ma
,
Y. T. Chan
Conference:
International Conference on Acoustics, Speech, and Signal Processing  ICASSP
, vol. 5, pp. V13740 vol, 2003
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Citations
(1)
Received signal strength difference emitter geolocation least squares algorithm comparison
Brad R. Jackson
,
S. Wang
,
R. Inkol
Conference:
Canadian Conference on Electrical and Computer Engineering  CCECE
, pp. 001113001118, 2011