一种卫星导航信号码跟踪环优化算法

发布时间：2018-03-08 04:13

本文选题：全球定位系统　切入点：码跟踪环　出处：《计算机仿真》2017年01期 　论文类型：期刊论文

【摘要】：在微弱卫星信号跟踪优化的问题中,多径干扰和热噪声的抑制是码跟踪环的难点技术之一。针对解扩前最大似然多径估计算法在低信噪比时难以保证多径抑制和噪声消除效果的问题,提出了一种基于最大似然估计的ML-KF算法。通过采用最大似然估计对中频数据进行多径估计,恢复出接近真实值的估计直达信号,并用于后续的解扩处理;然后采用卡尔曼滤波算法,通过对各相关器的相关输出进行最优组合,通过建模,不断收敛码相位估计误差,给出了码相位时延的最佳估计值。仿真结果表明,在相同信噪比的条件下,提出的ML-KF估计算法跟踪精度较高。
[Abstract]:In the optimization of weak satellite signal tracking, The suppression of multipath interference and thermal noise is one of the difficult techniques of code tracking loop. A ML-KF algorithm based on maximum likelihood estimation (MLE) is proposed. By multipath estimation of if data with maximum likelihood estimation, the estimated direct signal close to the true value is recovered and used for subsequent despreading processing. Then, by using Kalman filter algorithm, the correlation output of each correlator is combined optimally. By modeling, the phase estimation error of code is continuously converged, and the optimal estimation value of code phase delay is given. The simulation results show that, Under the same SNR, the tracking accuracy of the proposed ML-KF estimation algorithm is high.
【作者单位】：桂林电子科技大学信息与通信学院;
【分类号】：TN967.1

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