一种有效的GNSS接收机载噪比估计方法

¹中国科学院微电子研究所通信与多媒体SOC室,北京市朝阳区北土城西路3号100029;²中国科学院微电子研究所通信与多媒体SOC室,北京市朝阳区北土城西路3号100029;³中国科学院微电子研究所通信与多媒体SOC室,北京市朝阳区北土城西路3号100029;⁴中国科学院微电子研究所通信与多媒体SOC室,北京市朝阳区北土城西路3号100029

基金项目: 国家863计划资助项目(2009AA011700)

详细信息

An Effective Carrier-to-noise Ratio Estimation Method for GNSS Receiver

¹ Institute of Microelectronics,Chinese Academy of Sciences,3 West Tucheng Road,Beijing 100029,China

Funds: 国家863计划资助项目(2009AA011700)

摘要: 提出了一种I支路功率方差比方法(I branch power variance ratio,IBPVR),并详细推导了另外3种载噪比估计方法(NWPR、MM、SNV),比较了这4种方法在强信号和弱信号情况下的跟踪性能。实验结果显示,在载噪比超过50dBHz时,NWPR方法与SNV方法并未出现饱和现象,SNV方法在弱信号情况下会产生估计偏差,NWPR与IBPVR方法的估计性能比较好。
- GNSS /
- 接收机 /
- 载噪比估计
Abstract: In this paper,we give the mathematical derivation for these estimation methods and discuss their tracking performance in both strong and weak signal environments.Meanwhile,a novel method,I-Branch Power-to-Variance Ratio(IBPVR),for the CNR estimation is proposed in this paper.Experiment results show that the NWPR and SNV methods do not have the saturation phenomenon when the CNR is above 50 dBHz.In weak signal environments,the SNV method has large estimation errors,whereas the NWPR and IBPVR methods have excellent estimation performances.The method IBPVR only uses the signal power in I-Branch to estimate CNR for the GNSS receivers and hence has the minimum calculation complexity among all the studied methods.
- GNSS /
- receiver /
- CNR estimation