Minimum MSE-based detection of cyclostationary signals in array processing

On the motivation that many modulated communication signals exhibit a cyclostationary property, we propose a minimum mean squares error (MSE) based approach for detection of the signal of interest (SOI) impinging on a uniform line array to improve the signal detection capability. Moreover, a data-based iterative regularization algorithm is given, in which the number of the SOI is determined from measured data only and their directions of arrival (DOA) can be decided from the stabilized estimate of the linear prediction coefficients. The effectiveness of the presented approach is demonstrated through numerical examples.