Subscriber location in CDMA cellular networks

Caffery, J.; Stuber, G.L.

doi:10.1109/25.669079

Cited by 371 publications

(194 citation statements)

References 26 publications

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“…Previous subscriber location studies have used coarse timing acquisition to obtain TOA estimates [16,17,25]. The performance of TOA location using fine timing esti- mates from a DLL has also been studied in [26]. Finally, we note that TDOA estimates could be formed by differencing the TOA estimates made at several BSs.…”

Section: Computing Toa and Tdoa Estimatesmentioning

confidence: 99%

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Overview of radiolocation in CDMA cellular systems

1998

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WApplications for the location of subscribers of wireless services continue to expand. Consequently, location techniques for wireless technologies are being investigated. With code-division multiple access (CDMA) being deployed by a variety of cellular and PCS providers, developing an approach for location in CDMA networks is imperative. This article discusses the applications of location technology, the methods available for its implementation in CDMA networks, and the problems that are encountered when using CDMA networks for positioning.

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Section: Computing Toa and Tdoa Estimatesmentioning

confidence: 99%

“…This leads to a set of linear equations that can be solved for the unknown x, y, and τ. An alternative approach is to use a gradient descent method [26]. These methods, such as the steepest descent method, are well known with well-developed theory [36].…”

Section: Algorithms For Locationmentioning

confidence: 99%

Overview of radiolocation in CDMA cellular systems

1998

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“…We also observe that the estimation performance of the LLS and LSC methods is different although their BLUE versions are identical. Moreover, the theoretical development of (6) or (12) is validated for sufficiently small noise powers, and the equivalence of the BLUE-LSC and BLUE-LLS algorithms is demonstrated. It is noteworthy that the average noise power range is reasonable for practical mobile location applications [17].…”

Section: Blue-lsc Lsc Blue-lls Llsmentioning

confidence: 99%

“…Although the BLUE approach is inferior to the CWLSC method, it has better threshold performance and still outperforms the standard LLS and LSC schemes. The theoretical development of (6) or (11) This paper is a postprint of a paper submitted to and accepted for publication in IET -Signal Processing and is subject to Institution of Engineering and Technology Copyright.…”

Section: Blue-lsc Lsc Blue-lls Llsmentioning

confidence: 99%

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Best linear unbiased estimator approach for time-of-arrival based localisation

Chan

Zheng

et al. 2008

IET Signal Process.

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A common technique for source localization is to utilize the time-of-arrival (TOA) measurements between the source and several spatially separated sensors. The TOA information defines a set of circular equations from which the source position can be calculated with the knowledge of the sensor positions. Apart from nonlinear optimization, least squares calibration (LSC) and linear least squares (LLS) are two computationally simple positioning alternatives which reorganize the circular equations into a unique and non-unique set of linear equations, respectively. As the LSC and LLS algorithms employ standard least squares (LS), an obvious improvement is to utilize weighted LS estimation. In this paper, it is proved that the best linear unbiased estimator (BLUE) version of the LLS algorithm will give identical estimation performance as long as the linear equations correspond to the independent set. The equivalence of the BLUE-LLS approach and the BLUE variant of the LSC method is analyzed. Simulation results are also included to show the comparative performance of the BLUE-LSC, BLUE-LLS, LSC, LLS and constrained weighted LSC methods with Cramér-Rao lower bound.

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Trends in Wireless Indoor Networks

Pahlavan

Beneat

2003

Wiley Encyclopedia of Telecommunications

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This chapter provides an overview of the trends in wireless indoor networks. Since the late 1970's when the concept of wireless LAN was first introduced, this area has gone through significant ups and downs. After a very exciting development period in the late 1980's, market revenues still remained far below predictions in the mid 1990's. However, during the late 1990's with the introduction of wireless personal area networking, Bluetooth technology, and home networking, a new surge of excitement has emerged in the wireless indoor communication industry, resulting in a number of new start up projects. Furthermore in the past few years, the emergence of wireless indoor positioning systems to augment wireless indoor telecommunication services, has attracted tremendous attention to wireless indoor networks.

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Subscriber location in CDMA cellular networks

Cited by 371 publications

References 26 publications

Overview of radiolocation in CDMA cellular systems

Overview of radiolocation in CDMA cellular systems

Best linear unbiased estimator approach for time-of-arrival based localisation

Trends in Wireless Indoor Networks

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