A phase-based ranging method for fast frequency hopping system

2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2014-12-22 DOI:10.1109/WCSP.2014.6992172

Yue Liu, Wangdong Qi, Su Zhang, Zhi Wang

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引用次数: 2

Abstract

Alternative Position, Navigation, Time (APNT) service is gradually on the rise to maintain safety, and minimize economic impacts from GNSS interference outages within the airspace system. As a result, anti-interference ranging methods are urgently needed in APNT systems. Fast frequency hopping technology can provide strong resistance to radio interference for APNT systems. However, it is hard to get accurate range estimate from measurements of one hop because the residence time and the baseband width are limited in fast frequency hopping systems. In this paper, we propose a new phase-based ranging method for fast frequency hopping system, which is called Time-Frequency Matrix Ranging (TFMR). By TFMR, we can combine measurements of multi-hops to achieve high accuracy of range estimate. We present DFT-based and FFT-based estimators for different scenarios respectively. Different estimate accuracies are achieved by using matrices in different sizes. We calculate the Cramer Rao lower bounds (CRLB), which can provide a benchmark for selecting matrices with different signal-to-noise ratio.

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一种基于相位的快速跳频测距方法

替代位置、导航、时间(APNT)服务正在逐步兴起，以保持安全，并最大限度地减少空域系统内GNSS干扰中断对经济的影响。因此，APNT系统迫切需要抗干扰测距方法。快速跳频技术为APNT系统提供了较强的抗无线电干扰能力。然而，在快速跳频系统中，由于驻留时间和基带宽度的限制，很难从一跳的测量中得到准确的距离估计。本文提出了一种新的基于相位的快速跳频测距方法——时频矩阵测距(TFMR)。利用TFMR，我们可以将多跳的测量结合起来，以达到较高的距离估计精度。我们分别针对不同的场景提出了基于dft和基于fft的估计器。使用不同大小的矩阵可以达到不同的估计精度。我们计算了Cramer - Rao下界(CRLB)，可以为选择不同信噪比的矩阵提供一个基准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP)

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