Invention Application
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
- Patent Title: METHODS AND SYSTEMS USING NORM APPROXIMATION FOR MAXIMUM LIKELIHOOD MIMO DECODING
- Patent Title (中): 使用正态近似最大似然MIMO解码的方法和系统
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Application No.: US12351820Application Date: 2009-01-10
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Publication No.: US20100091912A1Publication Date: 2010-04-15
- Inventor: Jong Hyeon Park , Matthias Brehler , Brian Clarke Banister , Albert van Zelst , Tae Ryun Chang , Vincent K. Jones , Je Woo Kim
- Applicant: Jong Hyeon Park , Matthias Brehler , Brian Clarke Banister , Albert van Zelst , Tae Ryun Chang , Vincent K. Jones , Je Woo Kim
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Main IPC: H04L27/06
- IPC: H04L27/06

Abstract:
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.
Public/Granted literature
- US08374274B2 Methods and systems using norm approximation for maximum likelihood MIMO decoding Public/Granted day:2013-02-12
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