Pseudo-snapshot Based on Forward-backward Cyclic Correlation Function for Narrow-band Signals

Inhalt:
Many modulated communication signals exhibit a cyclostationarity property. Cyclic-MUSIC algorithm uses the property to improve the detection capability and estimation accuracy over conventional MUSIC (Multiple Signal Classification) algorithm in DOA (Direction of Arrival) estimation. Based on cyclic-MUSIC, SC-SSF (Spectral Correlation Signal Subspace Fitting) algorithm extends application bound from narrowband signals to wide-band signals, where a kind of pseudodata matrix is constructed to act as pseudosnapshot. In this paper, a new kind of pseudo-snapshot is proposed based on forward-backward cyclic correlation function for narrow-band signals, then a virtual array with doubly augmented aperture of true array can be obtained, thus when applying conventional MUSIC on the pseudo-snapshot, two times the number of DOA can be detected and higher resolution can be achieved in comparison with cyclic-MUSIC and SC-SSF in the case of narrow-band signals. Simulation results prove it.