发明申请
US20100091912A1 METHODS AND SYSTEMS USING NORM APPROXIMATION FOR MAXIMUM LIKELIHOOD MIMO DECODING
有权
使用正态近似最大似然MIMO解码的方法和系统
- 专利标题: METHODS AND SYSTEMS USING NORM APPROXIMATION FOR MAXIMUM LIKELIHOOD MIMO DECODING
- 专利标题(中): 使用正态近似最大似然MIMO解码的方法和系统
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申请号: US12351820申请日: 2009-01-10
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公开(公告)号: US20100091912A1公开(公告)日: 2010-04-15
- 发明人: Jong Hyeon Park , Matthias Brehler , Brian Clarke Banister , Albert van Zelst , Tae Ryun Chang , Vincent K. Jones , Je Woo Kim
- 申请人: Jong Hyeon Park , Matthias Brehler , Brian Clarke Banister , Albert van Zelst , Tae Ryun Chang , Vincent K. Jones , Je Woo Kim
- 申请人地址: US CA San Diego
- 专利权人: QUALCOMM Incorporated
- 当前专利权人: QUALCOMM Incorporated
- 当前专利权人地址: US CA San Diego
- 主分类号: H04L27/06
- IPC分类号: H04L27/06
摘要:
Certain embodiments of the present disclosure provide techniques for approximate computation of l2 norms as a part of the maximum likelihood (ML) detection: tri-maxmin, maxsum and sortsum algorithms. The proposed approximation schemes show better accuracy than conventional approximation schemes—the abssum and maxmin algorithms, while the computational complexity is very similar. The error rate performance of the ML detection that utilizes proposed norm-approximation techniques are very close to the reference ML detection with exact calculation of l2 norms, while the computational complexity is significantly smaller.
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