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Combat multiple access interference(MAI) and near-far effect, to some degree, BP neural network can be better suppression interference, because of its use of the least squares method, prone to local minimum. In this paper, instead of using the MMSE algorithm for least squares and the addition of a new kind of constraints, and gain iterative formula of BP neural network blind multiuser detection algorithm,...
A new blind adaptive multi-user detection scheme based on the RLS filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the RLS filter just by using the signature waveform and the timing of the desired user. The subspace- based algorithm brings the benefit from the lower computational...
A unified approach to power control is proposed for maximizing utility in terms of energy efficiency in code-division multiple access (CDMA) networks. The approach is applicable to a large family of multiuser receivers including the matched filter, the decorrelator, the linear minimum mean-square error (MMSE) receiver, and the (nonlinear) optimal detectors. It exploits the linear relationship between...
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