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US08229013B2 Methods and systems for maximum-likelihood detection using post-squaring compensation 失效
使用后平方补偿的最大似然检测方法和系统

Methods and systems for maximum-likelihood detection using post-squaring compensation
Abstract:
A “post-squaring” detection algorithm, and related devices, that may reduce the complexity of maximum likelihood detection (MLD) schemes while preserving their performance is provided. Rather than search for optimum metrics (such as minimum distance metrics) based on squared norm values, a search may be based on un-squared norm metrics, and the squaring may be postponed, for example, until subsequent log-likelihood ratio (LLR) computation. For certain embodiments, approximations of un-squared norm values may significantly reduce computation complexity.
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