The problem of the blind demodulation of multiuser information symbols in ahigh-rate Code Division Multiple Access (CDMA) network in the presence of InterSymbol Interference(ISI) is of considerable interest. The dispe...The problem of the blind demodulation of multiuser information symbols in ahigh-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-InputMultiple-Out (MIMO) signal model framework. Then , the problem of the blind channel equalization andmultiuser detection is considered. In this paper, we formulate the problem of blind channelestimation and signal detection into a quadratic programming with binary constraints. Then, theefficient ε-approximation algorithms are presented and applied to find the solution to thequadratic programming. The proposed approach does not estimate the channel directly or rely on anystatistics . Simulation results support our theoretical analysis .展开更多
文摘The problem of the blind demodulation of multiuser information symbols in ahigh-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-InputMultiple-Out (MIMO) signal model framework. Then , the problem of the blind channel equalization andmultiuser detection is considered. In this paper, we formulate the problem of blind channelestimation and signal detection into a quadratic programming with binary constraints. Then, theefficient ε-approximation algorithms are presented and applied to find the solution to thequadratic programming. The proposed approach does not estimate the channel directly or rely on anystatistics . Simulation results support our theoretical analysis .
