Non-Supervised Learning for Spread Spectrum Signal Pseudo-Noise Sequence Acquisition

来源 :电子科技学刊：英文版 | 被引量 : 0次 | 上传用户：lhy5200

【摘要】

：

An idea of estimating the direct sequence spread spectrum(DSSS) signal pseudo-noise(PN) sequence is presented. Without the apriority knowledge about the DSSS si

【作者】

：

Hao Cheng Na Yu Tai-Jun Wang

【机构】

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ElectronicInformationEngineeringCollege,SichuanMilitaryAutomationStationChengdu610041

【出处】

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电子科技学刊：英文版

【发表日期】

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2015年1期

【关键词】

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非监督学习算法伪噪声序列扩频信号神经网络算法自组织特征映射 KOHONEN 采集直接序列扩频 Blind estimation direct sequ

【基金项目】

：

supported by the National Natural Science Foundation of China under Grant No.61271168

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An idea of estimating the direct sequence spread spectrum(DSSS) signal pseudo-noise(PN) sequence is presented. Without the apriority knowledge about the DSSS signal in the non-cooperation condition, we propose a self-organizing feature map(SOFM) neural ne

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Non-Supervised Learning for Spread Spectrum Signal Pseudo-Noise Sequence Acquisition

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