Abstract
Weighted polynomial expansion (WPE) detectors can be used to approximate linear multiuser detectors to avoid the need to compute matrix inversion. For finite stage WPE detectors, weight vector optimization is an important process since it determines how effective the linear multiuser detectors can be approximated. In this letter, the optimal weight vector for the finite stage WPE detector is derived based on the mean-squared error (MSE) criteria. In addition, a low-complexity adaptive WPE detector based on the least-squares criteria is proposed to simplify the computation of the optimum weight vector. Simulation results show that the proposed adaptive WPE detector outperforms the existing WPE method.
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.
