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GNSS系统中一种低复杂度的载噪比估计算法 被引量:4

A low complexity carrier to noise ratio estimation algorithm in GNSS system
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摘要 为了找到一种复杂度低和适应性强的载噪比估计算法,本文在分析了宽窄带功率比值法和方差求和法两种典型算法的基础上,提出了一种载噪比估计算法。对I支路二阶矩分布和I、Q四阶矩分布进行了的推导,得到了载噪比估计的精确表达式;论证了两种不同推导方法的一致性;从估计偏差、算法实现复杂度、输出时延、适应性四个方面对本文的方法进行了理论仿真和实测数据验证。结果表明:本文提出的算法估计误差小于1 d B,同时解决了宽窄带功率比值法不能直接应用于BD系统以及方差求和法在实际应用时实现较复杂的问题。本文提出的算法在保证一定性能的前提下,极大地降低了算法实现复杂度和输出时延,提升了适应性,可广泛应用于北斗等GNSS系统中。 To provide a carrier-to-noise ratio estimation algorithm with low complexity and strong adaptability,this paper proposes a new algorithm after an analyses of the commonly used narrowband-wideband power ratio and variance summing methods. The distribution of the I-branch secondary moment and the I and Q fourth moment were used to deduce the accurate expression of the carrier-to-noise ratio estimation,and the consistency of the two different deduction methods was demonstrated. For the proposed algorithm,theoretical simulation and actual data demonstrations were carried out from the following four aspects: estimation bias,complexity of algorithm implementation,output delay time,and adaptability. The results show that,the estimation error of the proposed algorithm is less than 1 d B. In addition,this algorithm is a suitable alternative,since narrowband-wideband power ratio method is difficult to be directly applied to BD system and the variance summing method is highly complex. On the whole,the proposed method greatly reduces complexity,output delay,and improves adaptability. Therefore,it can be successfully used in global navigation satellite systems(GNSS) such as Beidou.
作者 王姣 姜苏洋 狄世超 李金海 欧松林 WANG Jiao;JIANG Suyang;DI Shichao;LI Jinhai;OU Songlin(Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Military Representative Office, Rocket Army in 211 factory, Beijing 100086, China;Beijing Institute of Space Launch of Technology, Beijing 100076, China;Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China)
出处 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2018年第6期1087-1092,共6页 Journal of Harbin Engineering University
基金 国家自然科学基金项目(61271423)
关键词 全球卫星导航系统 载噪比估计 估计偏差 低复杂度 输出时延 适应性 global navigation satellite system(GNSS) carrier to noise ratio estimation estimation bias low complexity output delay adaptability
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