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公开(公告)号:US20150230270A1
公开(公告)日:2015-08-13
申请号:US14689518
申请日:2015-04-17
发明人: Fei Tong , Mark Gorthorn Rison
CPC分类号: H04W74/04 , H04L12/6418 , H04W72/0446 , H04W74/006 , H04W74/02 , H04W74/0841
摘要: Managing access to a time-slotted communications medium by masking interrogatory codes that are contained in signals demarcating time slots of the medium and comparing the masked interrogatory codes against masked response codes. Access to the medium is dependent on the outcome of these comparisons.
摘要翻译: 通过掩蔽包含在分界介质的时隙的信号中的询问码来管理对时隙通信介质的访问,并将屏蔽的询问码与屏蔽的响应码进行比较。 获取媒介取决于这些比较的结果。
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公开(公告)号:US09008240B1
公开(公告)日:2015-04-14
申请号:US14145799
申请日:2013-12-31
发明人: Hong Wan , Fei Tong , Erik Lindskog
CPC分类号: H04L1/0054 , H04B7/0413 , H04L1/0048 , H04L5/0014 , H04L25/067 , H04L27/22 , H04L27/2649 , H04L27/38 , H04L2025/03426 , H04L2025/03624
摘要: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. An initial symbol estimation is performed for a received symbol vector. The soft information of the received symbol vector can be more accurately calculated using every candidate symbol vector of a combined set of candidate symbol vectors, wherein the combined set is generated based on the initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.
摘要翻译: 本发明涉及具有接近最佳性能的无线通信系统中的低复杂度MIMO检测器。 对接收到的符号向量执行初始符号估计。 可以使用组合的一组候选符号向量的每个候选符号向量来更精确地计算接收符号向量的软信息,其中基于初始估计生成组合集合。 通过组合线性检测和ML检测的方面,提出的检测器的复杂度比ML检测器的复杂度低几个数量级,但性能非常接近于ML检测器。
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公开(公告)号:US09083499B1
公开(公告)日:2015-07-14
申请号:US14145813
申请日:2013-12-31
发明人: Fei Tong , Hong Wan , Erik Lindskog
CPC分类号: H04L1/0054 , H04B7/0413 , H04L1/0048 , H04L25/03318 , H04L25/03891 , H04L25/067 , H04L27/265
摘要: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. Initial symbol estimation is performed for a transmitted symbol vector. The soft information of the transmitted symbol vector can be more accurately calculated by deemphasizing the LLRs associated with symbols belonging to weak channels that may suffer from poor initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.
摘要翻译: 本发明涉及具有接近最佳性能的无线通信系统中的低复杂度MIMO检测器。 对发送的符号向量执行初始符号估计。 可以通过对与属于可能遭受不良初始估计的弱信道的符号相关联的LLR进行强调来更精确地计算所发送的符号向量的软信息。 通过组合线性检测和ML检测的方面,提出的检测器的复杂度比ML检测器的复杂度低几个数量级,但性能非常接近于ML检测器。
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