GPS, Galileo and Glonass L1 signal detection algorithms based on bandpass sampling techniques

Al-Aboodi, Maher; Albu-Rghaif, Ali; Lami, Ihsan Alshahib

doi:10.1109/icumt.2012.6459675

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…Therefore shared components of the received/transmit signal chain functions will help saving silicon size & cost as well as reducing processing time and thus battery power consumption. Multi-signal processing of GNSS signals, for example, will also help improving the overall tracking [1] and detection [2] capability when compared with single-signal GPS receiver.…”

Section: Introduction and Related Workmentioning

confidence: 99%

OCBPSR: Orthogonal Complex BandPass Sampling Receiver

Al-Aboodi

Lami

2014

2014 World Congress on Computer Applications and Information Systems (WCCAIS)

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Abstract-Second-order/Complex BandPass Sampling Receivers (CBPSR) are attractive for acquiring multi-signals for SDR/CR applications. One of the issues caused by the implementation of such receivers is the signals IQ mismatch. This paper proposes a CBPSR implementation that eliminates this IQ mismatch by reformatting the received signals in an orthogonal analytic form (thus named OCBPSR). Our implementation will also reduce the required sampling frequency to below the Nyquist rate, and so reducing the processing time to recover the signals. This is achieved by folding the upper-side of the received signals to the same fold-frequency in the baseband domain without overlapping, by making the signals orthogonal. MATLAB simulation is used to evaluate the performance of our OCBPSR using various scenarios of harsh signal environment, including Doppler and multipath effects.

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Section: Introduction and Related Workmentioning

confidence: 99%