| 引用本文： |
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袁建国,王 姣,陈忠平,等.基于宽窄带功率比值法的GNSS载噪比估计改进方法[J].电讯技术，2018，58（5）： - . [点击复制]
- YUAN Jianguo,WANG Jiao,CHEN Zhongping,et al.An improved method for GNSS carrier-to-noise ratio estimation based on wide-narrow bandwidth power ratio method[J].，2018，58（5）： - . [点击复制]
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| 摘要: |
| 为了降低载噪比估计算法的实现复杂度，提出了一种改进的宽窄带载噪比估计方法。该方法利用接收机良好跟踪信号时信号能量主要分布在I支路这一特点，将传统的宽窄带功率比值法中的宽带进行简化变为仅取I支路信号，而窄带保持不变来进行载噪比估计。在详细推导了改进后算法的载噪比估计的理论表达式后，通过仿真测试进行了验证与分析，最后对K值的选取进行了讨论。测试结果表明，改进后的算法与传统算法的性能基本相当，但相比传统的宽窄带功率比值法而言，在算法复杂度方面加法和乘法次数都减少了1000次左右，约为传统算法的60%，使算法复杂度得到了有效降低。 |
| 关键词: 全球卫星导航系统 载噪比估计 宽窄带功率比值 低复杂度 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(61472464)；重庆市基础与前沿研究计划项目(cstc2015jcyjA0554) |
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| An improved method for GNSS carrier-to-noise ratio estimation based on wide-narrow bandwidth power ratio method |
| YUAN Jianguo,WANG Jiao,CHEN Zhongping,LIU Shuhan |
| (Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
| Abstract: |
| In order to reduce the implementation complexity of the carrier-to-noise ratio estimation algorithm,an improved method of narrow to wide bandwidth carrier-to-noise ratio estimation is proposed.The signal energy is mainly distributed in the I branch when the signal is tracked well.Based on this feature,this method which only takes the I-branch signal simplifies the broadband in the traditional Narrow to Wide Power Ratio Method,and holds the narrow band constant for the carrier-to-noise ratio estimation.After the theoretical expression of the improved carrier-to-noise ratio estimation is deduced in detail,the verification and analysis are carried out by simulation test.Finally,the selection of K value is discussed.The test results show that the improved algorithm is basically equivalent to the traditional algorithm,however,compared with the traditional Narrow to Wide Power Ratio Method,the improved algorithm can reduce about 1 000 times in the add and multiply amount of the algorithm complexity,about 60% of the traditional algorithm,which makes the complexity is effectively reduced. |
| Key words: GNSS carrier-to-noise ratio estimation wide-narrow bandwidth power ratio low complexity |
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