In this study, we propose a framework for chirp-based communications by exploiting discrete Fourier transform-spread orthogonal frequency division multiplexing (DFT-s-OFDM). We show that a well-designed frequency-domain spectral shaping (FDSS) filter for DFT-s-OFDM can convert its single-carrier nature to a linear combination of chirps circularly translated in the time domain. Also, by exploiting the properties of the Fourier series and Bessel function of the first kind, we analytically obtain the FDSS filter for an arbitrary chirp. We theoretically show that the chirps with low ripples in the frequency domain result in a lower bit-error ratio (BER) via less noise enhancement. We also address the noise enhancement by exploiting the repetitions in the frequency. The proposed framework offers a new way to efficiently synthesize chirps that can be used in Internet-of-Things (IoT), dual-function radar and communication (DFRC) or wireless sensing applications with existing DFT-s-OFDM transceivers.
翻译:在这项研究中,我们提出一个借助离散的傅里叶变换分布式正方位频率多路转换的通信框架(DFT-s-OFDM)。我们表明,为DFT-s-OFDM设计好的频率光谱成像过滤器(FDSS)可以将其单一载波性质转换成在时间域中循环翻译的声波成线性组合。此外,通过利用Fourier系列的特性和第一种类型的贝塞尔功能,我们分析获得FDSS过滤器,以进行任意的声波调整。我们理论上表明,频率域中带低波纹的响声通过减少噪音的增强,导致比特机率比率降低。我们还通过利用频率的重复处理噪音增加问题。拟议框架提供了一种新途径,可以有效地合成可用于因特网-电话、双功能雷达和通信(DFRC)或无线感测应用现有的DFT-OFDDDDDM转录器的焦点。