Abstract
In the mobile communications field, smart technologies are not only being applied at the antenna level, but also at the receiver (for direction of arrival estimation, detection. diversity combining and equalization). The ultimate benefit of these techniques is to increase cellular capacity and range. Furthermore, with the use of CDMA, where multiaccess interference power is a fundamental capacity limiting factor, adaptive beamforming is revealed to be another complementary means for signal-to-interference-plus-noise ratio (SINR) optimization. The problem in this case deals with the formation of a lobe structure that results from the variation of an element-space processing weight vector. The beamforming in such adaptive arrays is controlled by an adaptive algorithm minimizing a particular cost function, ideally directing beams toward the signal of interest and nulls in the direction of interference. In this paper we examine the characteristics of two such algorithms, least mean square (LMS) and sampled matrix inversion (SMI) and discuss a modification in the SMI algorithm to handle some situations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
