| 基于改进二进制粒子群算法的LFSR种子优化方法研究 |
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| 引用本文： | 葛鹏岳,黄考利,吕晓明,方建. 基于改进二进制粒子群算法的LFSR种子优化方法研究[J]. 弹箭与制导学报, 2011, 31(1): 78-80 |
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| 作者姓名： | 葛鹏岳 黄考利 吕晓明 方建 |
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| 作者单位： | 葛鹏岳,黄考利,吕晓明,GE Pengyue,HUANG Kaoli,LV Xiaoming(解放军军械工程学院军械技术研究所,石家庄,050003);方建,FANG Jian(河北省优抚医院,石家庄,050003) |
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| 摘 要： | 为降低BIST测试功耗,采用一种改进的二进制粒子群算法对LFSR种子进行优选,使测试图形的长度得到减小进而降低了测试功耗;以ISCAS’85 benchmark电路作为测试对象,同时用粒子群算法和模拟退火算法进行实验,通过对比结果证明了该方法简单有效,可以在不增加硬件开销的情况下大幅度降低BIST测试功耗。
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| 关 键 词： | 改进二进制粒子群 LFSR 种子 |
Research on the Method of Selecting LFSR's Seeds Which Based on an Improved Binary Particle Swarm Optimization |
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| GE Pengyue,HUANG Kaoli,LV Xiaoming,FANG Jian. Research on the Method of Selecting LFSR's Seeds Which Based on an Improved Binary Particle Swarm Optimization[J]. Journal of Projectiles Rockets Missiles and Guidance, 2011, 31(1): 78-80 |
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| Authors: | GE Pengyue HUANG Kaoli LV Xiaoming FANG Jian |
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| Affiliation: | GE Pengyue1,HUANG Kaoli1,LV Xiaoming1,FANG Jian2(1 Ordnance Technological Institute,Ordnance Engineering College,Shijiazhuang 050003,China,2 Youfu Hospital of Hebei Province,China) |
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| Abstract: | In order to reduce the power of testing for BIST,we used an improved binary particle swarm optimization to select LFSR's seeds.By this way,it can make test vectors fewer and low the power of testing.At last,we used circuits in ISCAS'89 benchmark as unit under test.And we do experiment by using particle swarm optimization and simulated annealing algorithm.The result of this experiment proves that this method is easy and can reduce the testing power without additional hardware. |
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| Keywords: | LFSR |
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