An adaptive multiuser detector with joint amplitude and delay estimation

Iltis, R.A.; Mailaender, L.

doi:10.1109/49.298051

Cited by 67 publications

(29 citation statements)

References 20 publications

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“…Iltis and Mailaender [59] give a multiuser counterpart of the single-user algorithm due to Abend and Frichtman [60]. Their adaptive algorithm results in optimum symbol-by-symbol decisions without knowledge of amplitudes or chip-offsets.…”

Section: Blind Multiuser Detectionmentioning

confidence: 98%

Adaptive Multiuser Detection

Verdú¹

1995

Code Division Multiple Access Communications

1,050

1,892

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Section: Blind Multiuser Detectionmentioning

confidence: 98%

Adaptive Multiuser Detection

Verdú¹

1995

Code Division Multiple Access Communications

1,050

1,892

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“…Many of the near-far resistant delay estimators are based on subspace techniques such as MUSIC [56][57][58]. Other estimators have been produced in conjunction with multi-user detectors [59,60] and interference cancellation techniques [61,62].…”

Section: Multiple Access Interferencementioning

confidence: 99%

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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“…The solution to this constrained optimization problem yields the linear MMSE detector, which is given by [4], [11] …”

Section: Blind Rls Multiuser Detectormentioning

confidence: 99%

“…Motivated probably by these two facts, some attention has been focused on Kalman filter-based adaptive multiuser detection [11]- [15]. In particular, it is shown in [13] that when applied in an asynchronous CDMA system, the RLS algorithm performs more poorly than the more general Kalman filter algorithm.…”

Section: Introductionmentioning

confidence: 99%