| 遗传算法在分数阶Fourier变换域极值优化中的应用 |
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| 引用本文： | 邵云生,傅寅锋,卫红凯.遗传算法在分数阶Fourier变换域极值优化中的应用[J].声学技术,2010,29(5):548-550. |
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| 作者姓名： | 邵云生 傅寅锋 卫红凯 |
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| 作者单位： | 1. 驻上海地区水声导航系统军事代表室,上海,201108
2. 海军工程大学电子工程学院,武汉,430033 |
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| 摘 要： | 分数阶Fourier变换采用线性调频基,因此,线性调频（Linear Frequency Modulation,LFM）信号在分数阶Fourier域平面能够聚焦,并形成峰值。为了克服传统步进式搜索法在LFM信号峰值搜索中效率低下的缺点,将遗传算法引入到分数阶Fourier变换极值搜索中。仿真结果表明,该方法优于传统的步进式搜索法。
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| 关 键 词： | 遗传算法 分数阶Fourier变换 极值优化 |
| 收稿时间： | 2010/3/12 0:00:00 |
| 修稿时间： | 2010/6/20 0:00:00 |
Application of genetic algorithm in factional Fourier domain for extremum searching |
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| SHAO Yun-sheng,FU Yin-feng and WEI Hong-kai.Application of genetic algorithm in factional Fourier domain for extremum searching[J].Technical Acoustics,2010,29(5):548-550. |
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| Authors: | SHAO Yun-sheng FU Yin-feng and WEI Hong-kai |
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| Affiliation: | 1.Military Representative Office in the Shanghai Area of Underwater Acoustic Navigation System,Shanghai 201108,China;2.Electronic Engineering College,Navy Engineering University,Wuhan 430033,China) |
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| Abstract: | The linear frequency modulation（LFM） signal can be concentrated in fractional Fourier domain due to the orthonormal chirp basis of fractional Fourier transform.And usually the extremum searching of LFM signal in fractional Fourier domain is completed by using step-based searching method,which has the shortcoming of inefficiency.To resolve this problem,Genetic algorithm is introduced to factional Fourier transform for extremum searching.Simulation results show that the performance of Genetic algorithm is better than that of traditional step-based method. |
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| Keywords: | Genetic algorithm fractional Fourier transform extremum searching |
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