A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Multi-Level Log-Likelihood Ratio Clipping in a Soft-Decision Near-Maximum Likelihood Detector
unpublished
Consider the MIMO detection background. While the hard-decision Sphere Decoder has been widely and recently considered as the most promising near-optimal detector, this perspective might fall down during the soft-decision extension through a List Sphere Decoder (LSD). Due to the finiteness of the LSD list output-that does not necessarily allow for generating explicitly the Log-Likelihood Ratios (LLRs), even through a max-log approximation-the issue of how to set the missing reliabilities has
fatcat:k25ilymxqbbpzi3vxaemdbh2ca