| 一种新的优化滤波算法 |
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| 引用本文： | 解增辉,刘占辰,方洋旺. 一种新的优化滤波算法[J]. 计算机工程与应用, 2011, 47(23): 133-136 |
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| 作者姓名： | 解增辉 刘占辰 方洋旺 |
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| 作者单位： | 1.空军工程大学 工程学院，西安 7100382.中国人民解放军 93802部队 |
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| 基金项目： | 国家自然科学基金No.60874040~~ |
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| 摘 要： | 提出一种基于改进PSO的优化滤波算法，构造多指标均衡的适应度函数，把滤波增益作为PSO的粒子进行优化求解，同时将最小方差鲁棒滤波增益和H∞滤波增益以及它们的组合平均值作为PSO的初始粒子，赋予粒子一定的认知能力，大大提高收敛速度。仿真表明新的优化滤波算法滤波精度高，鲁棒性强，实时性好。
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| 关 键 词： | 最小方差鲁棒滤波 H∞滤波 改进PSO算法 滤波增益 |
| 修稿时间： | |
New optimization filtering algorithm |
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| XIE Zenghui,LIU Zhanchen,FANG Yangwang. New optimization filtering algorithm[J]. Computer Engineering and Applications, 2011, 47(23): 133-136 |
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| Authors: | XIE Zenghui LIU Zhanchen FANG Yangwang |
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| Affiliation: | 1.Engineering Institute，Air Force Engineering University，Xi’an 710038，China2.Unit 93802 of PLA |
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| Abstract: | A new optimization filtering algorithm is proposed based on modified PSO algorithm.Balanced multi-capability adaptability function is constructed.Optimization filtering gain is answered as particle of PSO algorithm.Least variance robust filtering gain and H∞ filtering gain,and average value of them are initialized as particles.So particles have cognitive capability and convergence speed of algorithm will be quick.Simulation results prove that new algorithm accords with the real time control need,also filtering precision and robustness is better. |
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| Keywords: | least variance robust filtering H∞ filtering modified Particle Swarm Optimization（PSO）algorithm filtering gain |
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