连续波射频干扰下GNSS信号质量的量化退化

A. T. Balaei, A. Dempster, D. Akos
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引用次数: 10

摘要

在数字匹配滤波器(DMF)中,信号质量的退化取决于预采样滤波器带宽和模数转换器(ADC)位的数量。数字匹配滤波器用于全球卫星导航系统(GNSS)信号的采集。GNSS接收机中的自动增益控制(AGC)用于确定ADC的最大量化水平。在(Chang, 1982)中,分析了在加性高斯白噪声(AGWN)存在下不同预采样带宽和adc位的量化退化。超过一倍(或两倍)数据比特率的带宽仅对DMF的总体退化贡献约0.4 dB(或(0.2 dB))。此外,采用最佳ADC阈值设置的2位均匀步进量化显示可以恢复大多数数字实现退化。本文以等于数据比特率的预采样滤波器带宽和2位ADC为重点,分析了在连续波(CW)射频干扰(RFI)情况下量化对接收到的GNSS信号质量的影响。结果表明,在AGWN情况下,1位ADC具有比3.5 dB高得多的退化。结果表明,AGC对量化退化的影响与连续波RFI的功率和频率有关。在连续RFI存在的情况下,ADC最大阈值与有效噪声RMS之比的最优值约为1.35,高于不存在RFI的情况(0.8)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantization Degradation of GNSS Signal Quality in the Presence of CW RFI
In a digital matched filter (DMF) the degradation of signal quality depends on the pre-sampling filter bandwidth and on the number of analogue to digital) converter (ADC) bits. Digital matched filters are used in the acquisition of Global navigation satellite systems (GNSS) signals. Automatic gain control (AGC) in the GNSS receivers is used to determine the maximum level of quantization by the ADC. In (Chang, 1982), the quantization degradation for different pre sampling bandwidths and adc bits is analysed in the presence of Additive Gaussian white noise (AGWN). Bandwidths of more than once (or twice) the data bit rate contribute only about 0.4 dB (or (0.2 dB) to the overall degradation of the DMF. Also 2 bit uniform step quantization with optimum ADC threshold setting is shown to recover most of the digital implementation degradation. In this paper by focusing on pre-sampling filter bandwidth equal to the data bit rate and 2 bit ADC, the effect of quantization on the received GNSS signal quality in the presence of continuous wave (CW) radio frequency interference (RFI) is analysed. It is shown that a one bit ADC can have much higher degradation than the 3.5 dB in the AGWN case. It is also shown that the effect of AGC on the quantization degradation has to do with both power and frequency of CW RFI. In the presence of CW RFI, the optimal value for ratio of maximum threshold of ADC to the effective noise RMS is shown to be about 1.35 which is higher than the case when RFI does not exist (0.8).
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