An algorithm is described for estimation of multipath fading channels without a priori information on channel characteristics, for application in automatic modulation classification based on normalised sixth-order cumulants. Compared with existing approaches, the proposed algorithm can achieve much better classification accuracy in distinguishing complex-valued modulation techniques. Theoretical analysis is verified via extensive Monte-Carlo simulations.

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In this article we present a survey of the power control techniques for modern wireless DS-CDMA communication systems. Power control is the single most important system requirement for DS-CDMA systems. Well-defined power control is essential for proper functioning of the DS-CDMA system. In the absence of power control the effect of near/far phenomena is dominant, and the capacity of the DS-CDMA mobile system is very low, even lower than that of mobile systems based on FDMA. However, when the power control in DS-CDMA systems exists, it allows users to share resources of the system equally between themselves. Also, with a proper power control it is possible to lower total transmitting power of the mobiles and prolong the battery life.

Data fusion methods are proposed for cooperative modulation classification by using multiple sensors in multipath fading channels. Performances of these methods are evaluated, and compared with those of existing optimal decision fusion method, through Monte-Carlo simulations for a realistic application scenario, and evident gains are confirmed.