| 基于自适应交叉变异量子免疫信号盲检测算法 |
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| 引用本文： | 于大为,张昀,夏祎,于舒娟. 基于自适应交叉变异量子免疫信号盲检测算法[J]. 电视技术, 2014, 38(23) |
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| 作者姓名： | 于大为 张昀 夏祎 于舒娟 |
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| 作者单位： | 1. 南京邮电大学电子科学与工程学院,江苏南京,210003
2. 苏州信息职业技术学院计算机科学与技术系,江苏苏州,215200 |
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| 基金项目： | 国家自然科学基金资助项目(批准号No. 61302155)；南京邮电大学引进人才项目(NY212022)；; |
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| 摘 要： | 提出了基于自适应交叉变异算子的量子免疫信号盲检测方法,所述方法在量子化交叉与变异基础上,引入了基于自适应策略的量子免疫交叉与变异算子,用量子交叉与量子变异进行进化,同时采用了传统免疫算法中交叉和变异算子的策略,以求更好地加强种群的进化程度,仿真结果表明所提出的基于自适应交叉变异算子的量子免疫算法能够有效避免早熟现象,收敛速度更快,相同信噪比条件下误码率更低。
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| 关 键 词： | 自适应 量子免疫算法 盲检测 交叉变异算子 |
| 收稿时间： | 2014-05-09 |
| 修稿时间： | 2014-06-19 |
A quantum immune algorithm based on adaptive crossover-mutation operator for blind signals detection |
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| YU Dawei,Zhang yun,Xia Yi and YU Shujuan. A quantum immune algorithm based on adaptive crossover-mutation operator for blind signals detection[J]. Ideo Engineering, 2014, 38(23) |
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| Authors: | YU Dawei Zhang yun Xia Yi YU Shujuan |
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| Affiliation: | Department of computer science and technology, Suzhou College of Information Technology,Electronic Science and Engineering College,Nanjing University of posts telecommuni,Electronic Science and Engineering College,Nanjing University of posts telecommunication,Electronic Science and Engineering College,Nanjing University of posts telecommunication |
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| Abstract: | Considering the easy converging to local optimum and slow convergence, an adaptive crossover-mutation operator quantum immune algorithm is proposed to blind detection signals of SIMO system. Based on the quantization crossover and mutation, the adaptive immune crossover and mutation operator was introduced. Using quantum crossover and mutation for evolution to better enhance the evolution of the population. Simulation results show that the algorithm can effectively avoid premature phenomenon, needs shorter received signals and show high speed to blindly detect signals . |
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| Keywords: | self-adaptive , quantum immune algorithm , blind detection, crossover-mutation operator |
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