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Kalman-Filter-Based Semi-Codeless Tracking of Weak Dual-Frequency GPS Signals

机译:基于Kalman-滤波器的弱双频GPS信号的半无附带追踪

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Extended Kalman-Filter (EKF) based methods have been developed for semi-codeless tracking of the P(Y) code on weak dual-frequency GPS signals. Optimal Kalman filtering methods are essential to maintain lock with a semi-codeless approach during ionospheric scintillations, when deep power fades can occur. EKF-based semicodeless techniques use maximum a posteriori estimation techniques to estimate the unknown W code that gets modulo-2 added to the P code in order to provide antispoofing protection. These tracking techniques take advantage of the known W-bit chip timing, whose chipping rate is approximately 500 KHz. They also use a posteriori cost functions that involve -log[cosh()] terms, which allow seamless transition between various W-bit decision techniques. The algorithm estimates the P(Y) carrier amplitudes, accounts for signal dynamics in the optimization process, and optimally couples its code and carrier tracking loops. The algorithm has been successfully tested with real data under normal signal strength conditions.
机译:已经开发了基于Kalman-Filter(EKF)的基于方法,用于弱双频GPS信号上的P(Y)代码的半无附带跟踪。最佳卡尔曼滤波方法对于在电离层闪烁期间在电离层闪烁期间保持锁定的必要条件是必不可少的,当时可能发生深度荧光。基于EKF的半导体技术使用最大的后验估计技术来估计将Modulo-2添加到P代码的未知W代码,以便提供抗断漏保护。这些跟踪技术利用了已知的W位芯片定时,其切削速率约为500 kHz。它们还使用涉及-log [COSH()]术语的后验性成本函数,这允许各种W位决策技术之间的无缝转换。该算法估计P(Y)载波幅度,用于优化过程中的信号动态,并最佳地耦合其代码和载波跟踪环路。该算法已在正常信号强度条件下成功使用实际数据进行了测试。

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