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机构地区:[1]国防科技大学电子科学与工程学院,湖南长沙410073
出 处:《通信学报》2007年第4期87-94,共8页Journal on Communications
摘 要:基于连续衰落信道假设,将一种具有递推形式的近似最大似然(ML)度量嵌入自动球形译码算法中,提出了多符号差分近似自动球形译码(MSDAASD)。该算法适用于一般酉空时星座,克服了准静态信道假设下多符号差分球形译码(MSDSD)的错误平层现象,具有接近ML检测的性能,其平均复杂度在大多数情况下低于相同假设下的判决反馈检测算法。Based on the assumption of continuous fading, a multiple symbol differential approximate automatic sphere decoding (MSDAASD) algorithm was developed by incorporating a recursive form of an approximate maximum-likelihood (ML) metric into automatic sphere decoding. The proposed algorithm is suitable for arbitrary unitary constellations and eliminates the error floor caused by in multiple symbol differential sphere decoding (MSDSD) with quasi-static channel assumption. Compared with decision-feedback detection under the same assumption, MSDAASD achieves similar performance of ML detection with much lower complexity at moderate to high signal-to-noise ratios.
分 类 号:TN911[电子电信—通信与信息系统]
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