一种用于认知无线电的40nm CMOS 500MHz盲分类处理器

Fang-Li Yuan, Tsung-Han Yu, D. Markovic
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引用次数: 5

摘要

在40nm CMOS上实现了一种认知无线电盲分类处理器,该处理器采用三步参数估计方法,比穷举方法节能59倍,并采用多算法特征提取方法区分多载波、单载波PSK/QAM/MSK和扩频信号5种调制类型。在500MHz信道下,在10dB信噪比下,每组分类的检测时间消耗为17μJ,检测概率≥95%,虚警率≤0.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 500MHz blind classification processor for cognitive radios in 40nm CMOS
A blind classification processor for cognitive radios is realized in 40nm CMOS, featuring three-step parameter estimation for a 59× energy saving compared to an exhaustive method, and multi-algorithm feature extraction to distinguish five modulation classes: multicarrier, single-carrier PSK/QAM/MSK, and spread-spectrum signals. The chip consumes 17μJ within 2ms sensing time per classification, achieving ≥95% detection probability (PD) and ≤0.5% false-alarm rate (PFA) at 10dB SNR in a 500MHz channel.
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