论文标题
基于DFT-Spread-ofdm的CHIRP传输
DFT-spread-OFDM Based Chirp Transmission
论文作者
论文摘要
在这项研究中，我们通过利用离散的傅立叶变换正交频施加多路复用（DFT-S-OFDM）来提出一个基于CHIRP的通信的框架。我们表明，DFT-S-OFDM的精心设计的频域光谱（FDSS）滤波器可以将其单载体性质转换为在时域中循环翻译的chirps的线性组合。同样，通过利用第一类傅立叶系列和贝塞尔函数的属性，我们可以分析地获取用于任意chirp的FDSS滤波器。从理论上讲，我们表明频域中低纹波的轰鸣声通过更少的噪声增强而导致比特误差比（BER）较低。我们还通过利用频率重复来解决噪声增强。拟议的框架提供了一种新的方法，可以有效合成可用于Things Internet（IoT），双功能雷达和通信（DFRC）或与现有DFT-S-OFDM收发器的无线传感应用程序的呼叫。
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.
