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WFRFT modulation recognition based on HOC and optimal order searching algorithm 被引量:6
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作者 LIANG Yuan DA Xinyu +3 位作者 WU Jialiang XU Ruiyang ZHANG Zhe LIU Hujun 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2018年第3期462-470,共9页
A hybrid carrier(HC) scheme based on weighted-type fractional Fourier transform(WFRFT) has been proposed recently.While most of the works focus on HC scheme's inherent characteristics, little attention is paid to... A hybrid carrier(HC) scheme based on weighted-type fractional Fourier transform(WFRFT) has been proposed recently.While most of the works focus on HC scheme's inherent characteristics, little attention is paid to the WFRFT modulation recognition.In this paper, a new theory is provided to recognize the WFRFT modulation based on higher order cumulants(HOC). First, it is deduced that the optimal WFRFT received order can be obtained through the minimization of 4 th-order cumulants, C_(42). Then, a combinatorial searching algorithm is designed to minimize C_(42).Finally, simulation results show that the designed scheme has a high recognition rate and the combinatorial searching algorithm is effective and reliable. 展开更多
关键词 weighted-type fractional Fourier transform(WFRFT) modulation recognition higher order cumulants(HOC) combinatorial searching algorithm
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Optimizing combination of aircraft maintenance tasks by adaptive genetic algorithm based on cluster search 被引量:6
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作者 Huaiyuan Li Hongfu Zuo +3 位作者 Kun Liang Juan Xu Jing Cai Junqiang Liu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第1期140-156,共17页
It is significant to combine multiple tasks into an optimal work package in decision-making of aircraft maintenance to reduce cost,so a cost rate model of combinatorial maintenance is an urgent need.However,the optima... It is significant to combine multiple tasks into an optimal work package in decision-making of aircraft maintenance to reduce cost,so a cost rate model of combinatorial maintenance is an urgent need.However,the optimal combination under various constraints not only involves numerical calculations but also is an NP-hard combinatorial problem.To solve the problem,an adaptive genetic algorithm based on cluster search,which is divided into two phases,is put forward.In the first phase,according to the density,all individuals can be homogeneously scattered over the whole solution space through crossover and mutation and better individuals are collected as candidate cluster centres.In the second phase,the search is confined to the neighbourhood of some selected possible solutions to accurately solve with cluster radius decreasing slowly,meanwhile all clusters continuously move to better regions until all the peaks in the question space is searched.This algorithm can efficiently solve the combination problem.Taking the optimization on decision-making of aircraft maintenance by the algorithm for an example,maintenance which combines multiple parts or tasks can significantly enhance economic benefit when the halt cost is rather high. 展开更多
关键词 cluster search genetic algorithm combinatorial optimization multi-part maintenance grouping maintenance.
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