Abstract
Sequential Monte Carlo (SMC) schemes have recently been proposed in order to perform optimal equalization of multiple input multiple output (MIMO) wireless channels. Unfortunately, for each simulated data sample, the complexity of existing algorithms grows exponentially with the number of input data streams. We propose a novel SMC MIMO channel equalizer that avoids this limitation. An adequate design of the data sampling scheme leads to a reduction of the computational load per sample, which becomes linear in the number of channel inputs. Computer simulations that illustrate the nearly optimal bit error rate of the proposed SMC equalizer are presented.
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.
