On improving the CR-SCORE adaptive array by using multiple cyclic correlation properties

Many array signal processing techniques have been proposed for application in mobile cellular and mobile satellite communication systems. Particularly, much attention is focused on adaptive antenna arrays operating in the spatial domain (i.e., smart antennas), which enable spatial reuse of allocated frequency slots in those communication systems. Blind adaptive arrays are increasingly being used in a number of signal processing applications because they can reduce cost and outage time in radio communication systems. SCORE (spectral self-coherence restoral) is a blind adaptive algorithm which exploits the cyclostationary nature of many communication signals and merely requires knowledge of a cycle frequency which is determined by the carrier frequency and/or symbol rate of the desired signal. We improve the cross-SCORE (CR-SCORE) algorithm, which is one of the SCORE algorithms, by using the multiple cyclostationary properties of the desired signal. Via computer simulation, we show the effectiveness and advantage of the improved CR-SCORE adaptive array.