Unambiguous Compression Acquisition for BOC-Signal at Low Sampling Rate

Abstract—In the modernization of Global Navigation Satellite System (GNSS), Binary offset carrier (BOC) modulation signal has been applied as a new modulation method, but it also brings the complexity of signal acquisition process. To reduce the data required for BOC signal acquisition and eliminate acquisition ambiguity, an unambiguous compression acquisition method is proposed. The core ideas are as follows: (1) Based on the principle of disambiguation by side-peak superposition, a matrix operation model is constructed for signal sparse transformation; (2) Extract the basic elements of compressed sensing (CS) theory, select a measurement matrix based on singular value decomposition (SVD) for compression measurement, and use the Orthogonal Matching Pursuit (OMP) algorithm for signal reconstruction. The simulation results show that the method can completely remove the side-peaks of the acquisition curve. The acquisition performance is more than 3 dB better than the compressed sensing acquisition method based on singular value decomposition (SVD-CS). The sampling rate is more than 57% lower than that of the BOC signal acquisition based on side-peak superposition (BASS), overcoming the limitation of Nyquist sampling theorem. Finally, it can be explained that the proposed method can realize the unambiguous acquisition of BOC signal under low sampling rate.