GPS Signal Acquisition via Compressive Multichannel Sampling

In this paper, we propose an efficient acquisition scheme for GPS receivers. It is shown that GPS signals can be effectively sampled and detected using a bank of randomized correlators with much fewer chip-matched filters than those used in existing GPS signal acquisition algorithms. The latter use correlations with all possible shifted replicas of the satellite-specific C/A code and an exhaustive search for peaking signals over the delay-Doppler space. Our scheme is based on the recently proposed analog compressed sensing framework, and consists of a multichannel sampling structure with far fewer correlators. The compressive multichannel sampler outputs are linear combinations of a vector whose support tends to be sparse; by detecting its support one can identify the strongest satellite signals in the field of view and pinpoint the correct code-phase and Doppler shifts for finer resolution during tracking. The analysis in this paper demonstrates that GPS signals can be detected ...

• Type: Journal
• Year: 2011
• Where: CORR
• Authors: Xiao Li, Andrea Rueetschi, Yonina C. Eldar, Anna Scaglione
• Keywords: Compressed Sensing, Compressive Multichannel, CORR 2011, Education, GPS Signals