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载噪比是全球导航定位系统(GNSS)接收机跟踪过程中的重要参量。为了合理利用新一代GNSS信号中的导频和数据通道对载噪比进行估计,从两种经典的单通道载噪比估计算法(方差求和算法和能量比例算法)出发,分别使用相干和非相干的融合方式设计了导频和数据通道融合的载噪比估计算法。仿真结果表明:融合的载噪比估计算法相对单通道算法有较小的估计偏差;基于非相干融合的能量比例算法在弱导航信号的情况下性能较优;在实际应用中,在接收机完成电文同步前,基于相干融合的方差求和算法是较好的选择。
The carrier-to-noise ratio is an important parameter in the tracking process of a Global Navigation Satellite System (GNSS) receiver. In order to make reasonable use of the pilot and data channel of the new generation of GNSS signals to estimate the carrier-to-interference ratio, two classical algorithms of single-channel carrier to noise ratio estimation (variance summation and energy scaling) Coherent fusion design pilot and data channel fusion carrier-to-noise ratio estimation algorithm. The simulation results show that the proposed algorithm has a smaller estimation bias than the single-channel algorithm. The energy proportion algorithm based on incoherent fusion has better performance in the case of weak navigation signals. In practical applications, after the receiver completes Before the synchronization of the message, the covariance method based on coherent fusion is a better choice.