Antenna array signal processing has emerged as a promising technique to improve the capacity and performance of wireless communication systems. One aspect that has received relatively little attention is the channel modeling, where the traditional assumption of point sources is inappropriate in many scenarios. Here, we use a statistical channel model for an environment where the signal energy arrives at the array in clusters of rays, distributed around the nominal directions of the signal sources. It is shown that each cluster can be well approximated by two point sources when the spread angle is small. This observation is used to derive low-complexity solutions both in the design of a beamformer with good interference rejection capabilities as well as for a parameter estimation algorithm for estimation of both nominal direction of arrival and spread angle. The performance of the different algorithms are illustrated in a simulation study
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