物联网中参数可调软扩频系统解调算法研究与实现

Liu Yaqing, Lian Baowang
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引用次数: 1

摘要

物联网(IOT)是一个全球性的网络基础设施,通过利用数据捕获和通信能力将物理和虚拟对象连接起来。软扩频既有传统扩频的强抗干扰能力,又有m - 1调制的高带宽利用率。具有较低的被截获概率,可调节通信速率和传播增益。所以它适合物联网。由于扩频码是同一序列的循环移位,因此提出FFT提取信号的互相关系特性进行解调算法,而不是传统的多重相关累加器解调算法,从而可以动态改变物联网通信系统中的数据速率和扩频增益。为了处理任意长度的扩频码,设计了一种新的互关计算方法,其代价是FFT的双长度。为此,扩展了该算法的应用范围。基于FPGA平台的实验验证表明,该算法可以达到理论水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and implementation on demodulation algorithm of parameters-adjustable soft spread spectrum system in IOT
The IOT (Internet of Things) is a global network infrastructure, linking physical and virtual objects through the exploitation of data capture and communication capabilities. The Soft Spread Spectrum (M-ary Spread Spectrum) has not only strong anti-interference ability of conventional Spread Spectrum, but also high bandwidth utilization of M-ary modulation. What's more, it has lower probability of intercept, and can adjust the communication rate and spreading gain. So it's suitable for IOT. Since the spreading code is a cyclic shift of the same sequence, FFT is proposed to get cross-correlation characteristics of the signal for demodulation algorithms, instead of the traditional multiple correlation accumulators demodulation algorithm, so that it can dynamically change the data rate and spreading gain in IOT communication system. To deal with the spreading code of arbitrary length, the new calculation of cross-correlation is designed with the cost of double length of FFT. To do so, the application of the proposed algorithm is expanded. The experimental verification based on FPGA platform shows that the algorithm can reach the theoretical level.
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