Measurement of radio signal energy parameters

M. Zhodzishsky, V. Veitsel, R. Kurynin
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引用次数: 1

Abstract

The present paper discusses different techniques of measuring Carrier-to-Noise density ratio (C/N0) in navigation and information-communication systems. C/N0 means the ratio of the received signal power to the noise spectral density N0 at receiver's input (at the output of an antenna with a low-noise amplifier (LNA)). Correlation processing is performed in the receiver to obtain in-phase (I) and quadra-phase (Q) components of the input signal. Three estimation algorithms of C/N0 [Hz] have been analyzed in the paper. The first algorithm is robust: it requires minimal a priori information about signals, noise and receiver configuration. This algorithm is based on estimation in real time both expected value and the variance of in-phase component I. The second algorithm is called I-noise-immune, since it provides much more accurate estimates for C/N0, than the robust one but it needs a priori data about variance of component I. This requirement can be satisfied if value N0 is mainly determined by internal receiver noise (more precisely, - LNA noise), but not by received external interference. Both algorithms are applicable when Phase locked loop (PLL) operates quite precisely in the receiver. The third algorithm called Z-noise-immune, unlike the two first algorithms, does not need precise operation of PLL or even PLL availability in the receiver at all, but similar to the second algorithm is based on the assumption that value N0 is determined by internal noise rather than external interference. There were shown the third algorithm produces unbiased estimate of C/N0.
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测量无线电信号能量参数
本文讨论了在导航和信息通信系统中测量载波噪声密度比(C/N0)的不同技术。C/N0表示接收信号功率与接收机输入处(带低噪声放大器(LNA)的天线输出处)噪声谱密度N0之比。在接收机中进行相关处理以获得输入信号的同相分量(I)和四相分量(Q)。本文分析了C/N0 [Hz]的三种估计算法。第一种算法是鲁棒的:它只需要最小的关于信号、噪声和接收器配置的先验信息。该算法基于实时估计同相分量i的期望值和方差。第二种算法被称为i -噪声免疫算法,因为它对C/N0的估计比鲁棒算法准确得多,但它需要分量i方差的先验数据。如果N0值主要由接收机内部噪声(更准确地说是- LNA噪声)决定,而不是由接收到的外部干扰决定,则可以满足这一要求。这两种算法都适用于锁相环(PLL)在接收机中精确工作的情况。第三种算法称为z -噪声免疫算法,与前两种算法不同,它根本不需要精确操作锁相环甚至接收器中的锁相环可用性,但与第二种算法类似,它基于假设值N0由内部噪声而不是外部干扰决定。结果表明,第三种算法产生了C/N0的无偏估计。
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