Interference effects on GPS L2C signal acquisition and tracking | | Posted on:2008-06-17 | Degree:M.Sc | Type:Thesis | | University:University of Calgary (Canada) | Candidate:Yao, Donghua | Full Text:PDF | | GTID:2448390005467956 | Subject:Engineering | | Abstract/Summary: | PDF Full Text Request | | GPS L2C signals are now being transmitted from the new-generation IIR-M satellites. L2C signals are easily affected by RF and are often distorted by RF interference. Therefore, the performance of L2C signal acquisition and tracking is influenced by RF interference. The interferences of additive white Gaussian noise and unwanted L2C signals are always accompanied with incoming desired L2C signals. In this thesis, the effects of cross-correlation and additive white Gaussian noise (AWGN) on the performances of the L2C signal acquisition and tracking are analyzed in four parts: L2C signal detection, maximum error probability of information data estimation, signal-to-noise ratio, and PLL tracking errors.; In L2C signal detection, a large cross-correlation value is used to estimate the detection probabilities. Cross-correlation will affect L2C signal detection performance. The cross-correlations increase the error probability of information data estimation. The average signal-to-noise ratio is derived under the effects of cross-correlation and AWGN. The SNR is reduced when there is more cross-correlation or when the unwanted signal power from another satellite is higher than the desired signal power. In the PLL error analysis, the PLL error is estimated by using the linear method under the cross-correlation and AWGN. Simulations are also done for the analyses of the cross-correlation and AWGN effects on L2C signal acquisition and tracking. | | Keywords/Search Tags: | L2C signal, GPS L2C, Effects, Cross-correlation and AWGN, Additive white gaussian noise, RF interference, PLL error, Information data estimation | PDF Full Text Request | Related items |
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