基于DBO-CSS的鲁棒报文检测算法

Seong-Hyun Jang, Sang-Hun Yoon, J. Chong
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引用次数: 2

摘要

本文提出了一种差分双正交啁啾扩频(DBO-CSS)的鲁棒数据包检测算法。由于DBO-CSS的跳带特性,传统的基于自相关的包检测算法无法避免边带噪声。因此,如果我们在DBO-CSS中使用传统的数据包检测算法,数据包检测器的性能将会下降。首先,该检测器包含匹配滤波器以消除边带噪声。其次,所提出的检测器还包括自相关器,以便使匹配滤波器的输出相相。最后,该检测器对所有子啁啾的能量进行求和。当我们使用Permutator时,所建议的检测器不管piconet如何工作。仿真结果表明,在AWGN信道中可以检测到信噪比为-4 dB的数据包,在多径信道中也可以检测到信噪比为0 dB的数据包。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Packet Detection Algorithm for DBO-CSS
In this paper, we propose a robust packet detection algorithm for the differentially bi-orthogonal chirp-spread-spectrum (DBO-CSS). The conventional packet detection algorithms based on auto-correlation cannot avoid side band noise because of the band hopping property of the DBO-CSS. If we, therefore, use the conventional packet detection algorithms in the DBO-CSS, the performance degradation of the packet detector will break out. First, the proposed detector includes matched filters to eliminate the side band noise. Second, the proposed detector also includes auto-correlators in order to make outputs of matched filters inphase. Finally, the proposed detector gathers the energy of all sub-chirps by the summation. When we use the Permutator, the proposed detector works regardless of piconet. Simulation results show that we can detect packets in -4 dB SNR in AWGN channel and also in 0 dB in multipath channel.
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