The implementation of efficient baseband receivers characterized by affordable computational load is a crucial point in the\r\ndevelopment of transmission systems exploiting diversity in different domains. This would be a crucial point in the future\r\ndevelopment of 4G systems, where space, time, and frequency diversity will be combined together in order to increase system\r\nthroughput. In this framework, a linear multiuser detector for MC-CDMA systems with Alamouti�s Space-Time Block Coding\r\n(STBC), which is inspired by the concept of MinimumConditional Bit Error Rate (MCBER), is proposed. The MCBER combiner\r\nhas been implemented in adaptive way by using Least-Mean-Square (LMS) optimization. The estimation of Channel State\r\nInformation (CSI), necessary to make practically feasible the MCBER detection, is aided by a Genetic Algorithm (GA). The\r\nobtained receiver scheme is near-optimal, as both LMS-based MCBER and GA-assisted channel estimation perform closely to\r\noptimum in fulfilling their respective tasks. Simulation results evidenced that the proposed receiver always outperforms state-ofthe-\r\nart receiver schemes based on EGC andMMSE criterion exploiting the same degree of channel knowledge.
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