Direct-Sequence Spread-Spectrum Acquisition for High Dynamic Environments via Signal Partitioning

D. A. Chu, J. Barry
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引用次数: 1

Abstract

Time-varying Doppler shifts can arise in low-earth orbit satellites and other high-dynamic environments, and are a significant impediment to the acquisition of spread-spectrum signals. In this paper we propose delay-Doppler efficient exhaustive search (DEES), an efficient algorithm that can acquire direct-sequence spread-spectrum signals with long spreading codes in the presence of both Doppler rate and Doppler frequency shifts. DEES combines the second-order keystone transform and the fractional Fourier transform to mitigate the effects of time-varying channel delays, before jointly estimating both the code phase offset and the Doppler frequency. Numerical results demonstrate that DEES can acquire spread-spectrum signals in the high-acceleration regime of the low-earth orbit satellite channel at low SNR.
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基于信号分割的高动态环境直接序列扩频采集
时变多普勒频移可能出现在近地轨道卫星和其他高动态环境中,是获取扩频信号的一个重大障碍。本文提出了延迟-多普勒高效穷举搜索(延迟-多普勒高效穷举搜索)算法,该算法可以在多普勒速率和多普勒频移存在的情况下获取具有长扩频码的直接序列扩频信号。在联合估计码相偏移和多普勒频率之前,该算法结合了二阶梯形变换和分数阶傅立叶变换来减轻时变信道延迟的影响。数值计算结果表明,该方法可以在低信噪比条件下获取近地轨道卫星信道高加速度条件下的扩频信号。
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