Cyclostationarity-based detection and identification of binary offset carrier-modulated signals

In this paper, cyclostationarity-based detection and identification of binary offset carrier (BOC)-modulated signals is considered. BOC-modulated signals are widely used in current and next-generation global navigation satellite systems. The cyclostationary properties of the BOC-modulated signals are summarized and distinguishing features are discussed. A multiple hypothesis testing problem is formulated for detecting and identifying the strongest BOC-modulated signal from a multi-signal mixture. Two cyclic detection and identification tests are proposed. Their asymptotic distributions under the null hypothesis, when only noise is present, are established. Simulation results that show the very good detection and identification performance of the proposed algorithms are provided.