This paper proposes an iterative EQ-gm algorithm for SFBC-OFDM systems based on gm channel estimation algorithm and ZF principle. The scheme deduces a frequency domain ZF equalizer for the 2 X 2 SFBC-OFDM system to el...
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ISBN:
(纸本)9781424424238
This paper proposes an iterative EQ-gm algorithm for SFBC-OFDM systems based on gm channel estimation algorithm and ZF principle. The scheme deduces a frequency domain ZF equalizer for the 2 X 2 SFBC-OFDM system to eliminate the channel coefficient differences of the adjacent subcarriers introduced by the frequency selective channel in order to maintain the orthogonality of the SFBC codes at the receiver. At the same time, by embedding the equalizer to the gm algorithm, this scheme can improves the convergence ability and system performance effectively.
Although simple genetic algorithm (SGA) can, to some extent, improve the back propagation neural network (BP), it is prone to prematurity and losing the optimal solutions. Niche technology and fuzzy control theory are...
详细信息
ISBN:
(纸本)9781424455379
Although simple genetic algorithm (SGA) can, to some extent, improve the back propagation neural network (BP), it is prone to prematurity and losing the optimal solutions. Niche technology and fuzzy control theory are introduced to improve SGA and the improved one is used to optimize BP. The improved genetic algorithm is used to optimize BP neural network. In addition, due to the increasingly voltage levels and the effect from many other uncertain factors such as the continuously changing temperature, the application of a single forecasting model is limited. So in the end of this paper, the BP optimized is combined with gm algorithm, which was proposed by the known professor Julong Deng in 1982 and is popular with the researchers studying prediction. Both of the optimized BP and the combinational predicting model was used on the prediction of gas-in-oil in some transformers. The results of the experiments show that the proposed optimizing strategy is valuable and practicable.
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