Performance Assessment of Maximum Likelihood in the Detection of Carrier Interference Corrupted Gps Data in Mobile Handsets

نویسنده

  • Taher AlSharabati
چکیده

Mobile handset carriers are presented as a source of interference to GPS operation in smartphones. The carriers are presented in terms of their analytical form; block level generation as well as their statistical distribution model. In addition, we present the analytical form of the received GPS signal corrupted by carrier interference The Analysis is applied on the chip level in the acquisition engine before stripping the code or carrier. This expansion will restore the operation of GPS receiver in the presence of carrier interference. We present an estimate of the amount of improvement that Maximum Likelihood estimation gives in mitigating carrier interference in smartphones. The amount of improvement is compared to that of calculations based on measured data processing. The power spectral density of the interference is treated thoroughly to derive expressions for half of the noise power spectral density.

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تاریخ انتشار 2017