An Improved Algorithm of Unambiguous Acquisition Based on BOC Signal

Binary offset carrier (BOC) navigation signals can alleviate the problem of spectrum resource constraints while improving navigation positioning accuracy and anti-interference capabilities, and have a broad development prospect in Beidou/5G indoor and outdoor seamless high reliability positioning. However, while BOC signals have many of the advantages mentioned above, they also have the problem of multimodality in their autocorrelation functions. Using traditional capture methods can cause ambiguity issues. Therefore, this article is based on the idea of traditional optimization methods such as Aspect(Autocorrelation Side Peak Cancellation Technique) and PCF(Pseudo Correlation Function), Aiming at the problems existing in existing algorithms, an autocorrelation function reconstruction algorithm based on auxiliary signal coordination is proposed to eliminate side peak ambiguity while maintaining a high correlation peak and improving the anti-interference ability of the signal. Theoretical and matlab simulation results show that the algorithm proposed in this paper improves the peak height by about twice compared to the traditional PCF algorithm when applied to higher-order BOC signals, with no significant increase in the main lobe width, and has better anti-interference performance compared to other current optimization algorithms.