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Maximum Likelihood Detection and Estimation for New Users in CDMA

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TL;DRAbstract

We present two detectors which allow multiuser detection without a side channel in a dynamic CDMA system where users are constantly leaving and entering the system. These detectors, the Maximum Likelihood (ML) and Generalized Maximum Likelihood (GML) detectors, optimally detect a new user given only the chip rate and the spreading factor of the new user. Each of these detectors produces maximum likelihood estimates of all unknown parameters which are then incorporated into a multiuser detector.

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We present two detectors which allow multiuser detection without a side channel in a dynamic CDMA system where users are constantly leaving and entering the system. These detectors, the Maximum Likelihood (ML) and Generalized Maximum Likelihood (GML) detectors, optimally detect a new user given only the chip rate and the spreading factor of the new user. Each of these detectors produces maximum likelihood estimates of all unknown parameters which are then incorporated into a multiuser detector.

Keywords

Computer scienceMaximum likelihoodEstimationCode division multiple accessMaximum likelihood sequence estimationEstimation theoryStatisticsAlgorithm

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