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多输入多输出系统中有效降低复杂度的VB改进算法
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作者 江晓林 渠苏苏 唐征宇 《黑龙江科技大学学报》 CAS 2019年第5期627-631,共5页
在多输入多输出系统中,有效降低信号检测的复杂度对提升多输入多输出系统的检测至关重要。VB球形检测算法复杂度很高,提出一种收敛因子降低其复杂度,采用收敛因子加快搜索的速度,快速限定搜索的范围,找到有效的格点,完成信号的检测,仿... 在多输入多输出系统中,有效降低信号检测的复杂度对提升多输入多输出系统的检测至关重要。VB球形检测算法复杂度很高,提出一种收敛因子降低其复杂度,采用收敛因子加快搜索的速度,快速限定搜索的范围,找到有效的格点,完成信号的检测,仿真对比分析改进后的算法与VB算法的性能与复杂度。结果表明,在低信噪比时,信噪比小于16 dB,与传统的检测算法对比,改进的算法效果显著。性能略有损失,复杂度下降10%,可以有效检测信号。 展开更多
关键词 多输入多输出系统 球形检测算法 收敛因子 复杂度
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Signal Detection Algorithm Design Based on Stochastic Resonance Technology Under Low Signal-to-Noise Ratio 被引量:1
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作者 JIANG Xiaolin DIAO Ming qu susu 《Journal of Shanghai Jiaotong university(Science)》 EI 2019年第3期328-334,共7页
In the current 4th generation(4G)communication network,the base station with the same frequency transmission makes a serious interference among adjacent cells,and information transmission is susceptible to interferenc... In the current 4th generation(4G)communication network,the base station with the same frequency transmission makes a serious interference among adjacent cells,and information transmission is susceptible to interference such as channel multipath fading and occlusion effect.Detecting effectively spectrum signal under low signal-to-noise ratio(SNR),directly affects the whole performance of the wireless communication network system.This paper designs an energy signal detection algorithm based on stochastic resonance technology which transforms noise's signal energy into useful signal energy,and improves output SNR.The energy signal detection algorithm realizes the function of providing effective detection of signal under low SNR,and promotes the performance of the whole communication system. 展开更多
关键词 4G communication network stochastic resonance signal detection algorithm
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