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The problem of the blind demodulation of multiuser information symbols in a high rate Code Division Multiple Access (CDMA) network in the presence of InterSymbol Interference (ISI) is of considerable interest. The dispersive CDMA channel is first cast into a Multiple Input Multiple Out (MIMO) signal model framework. Then, the problem of the blind channel equalization and multiuser detection is considered. In this paper, we formulate the problem of blind channel estimation and signal detection into a quadratic programming with binary constraints. Then, the efficient ε approximation algorithms are presented and applied to find the solution to the quadratic programming. The proposed approach does not estimate the channel directly or rely on any statistics. Simulation results support our theoretical analysis.
The problem of the blind demodulation of multiuser information symbols in a high rate Code Division Multiple Access (CDMA) network in the presence of InterSymbol Interference (ISI) is of considerable interest. The dispersive CDMA channel is first cast into a Multiple Input Multiple Out ( Then, the problem of blind channel equalization and multiuser detection is considered. Then, the problem of blind channel equalization and multiuser detection is considered. algorithms are presented and applied to find the solution to the quadratic programming. The proposed approach does not estimate the channel directly or rely on any statistics. Simulation results support our theoretical analysis.