A Novel Unambiguous Acquisition Algorithm for BOC(n, n) Signals

Abstract

In order to solve the problem of ambiguous acquisition of BOC signals caused by its property of multiple peaks, an unambiguous acquisition algorithm is proposed in this paper. The concept of sub quadratic correlation function and sub QBOC code are first defined in this letter by analyzing the autocorrelation and quadratic correlation of BOC(n, n). Then a new correlation function without multiple peaks can be obtained by a simple combination of sub quadratic correlation, which can be used to unambiguous acquisition for BOC(n, n). The theoretical analysis and simulation prove that the proposed algorithm not only can accomplish unambiguous acquisition but also have more effective de-ambiguity, higher capture sensitivity and higher peak to average power ratio compared to the classical BPSK-like, SPCP and ASPeCT algorithms.