ICA is a new blind signal separation (BSS) technology, which is developing rapidly in recent years. Because of ICA without prior knowledge of the system’s new shoes 2010 parameters, the estimation is based purely on the high order statistical properties of the signal.At last, this dissertation applied Kernel-ICA to MUD in CDMA. The conventional ICA-based new wedding dresses does not utilize the information of the spread sequences of users, but the expected user’s spread sequence is known at the received end and has an ability in dividing signal. The MUD of conventional cheap evening dresses can not make use of information of users as an result of wastes in the known resource. In this dissertation, Kernel Independent Component Analysis is that the signal from low-dimensional space is mapped to the high-dimensional space, in high-dimensional space, the target user spreading codes as a discount wedding gowns solution of mixed initial value of matrix. We solve the indeterminacy problem in custom made prom dresses algorithms with spreading codes in high-dimensional space of Kernel cheap shoes blog 2010 and this methd lows BER with good real-time. Simulation results indicate that the proposed algorithm is able to achieve better BER performance than the conventional matched filtering and conventional ICA approach in the same environment.
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