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    PROCESSING METHOD AND DEVICE FOR PERFORMING SPACE-TIME DECODING ON A MIMO SIGNAL
    1.
    发明授权
    PROCESSING METHOD AND DEVICE FOR PERFORMING SPACE-TIME DECODING ON A MIMO SIGNAL 有权

    公开(公告)号：EP2852085B1

    公开(公告)日：2018-06-27

    申请号：EP13807052.9

    申请日：2013-08-20

    申请人： ZTE Corporation

    发明人： QIN, Hongfeng ,  XIONG, Gaocai ,  XIAO, Yue ,  ZHAO, Hongzhi

    IPC分类号： H04L1/06 ,  H04L25/03

    CPC分类号： H04B7/0478 ,  H04B7/0473 ,  H04L1/0631 ,  H04L25/03242 ,  H04L25/03318 ,  H04L25/03891 ,  H04L2025/0342

    摘要： The embodiment of present invention discloses a processing method and apparatus for performing space-time decoding on MIMO signals. The method includes: step 1, performing QR decomposition on a channel matrix H with a matrix size of N r × N t in a MIMO system and performing an initialization operation, wherein N t is the number of transmitting antennas and N r is the number of receiving antennas; step 2, enumerating candidate constellation points of transmitting signals at each level of transmitting antennas according to an input parameter M = [ M 1 , M 2 ,··· , M N t ] , a receiving signal y and a result of the QR decomposition of the channel matrix H, wherein M is the number of the numerated candidate constellation points at each level, y=Hs+n, s is a transmitting signal with a matrix size of N t ×1 , n is white gaussian noise with a matrix size of N r ×1; step 3, calculating increments of a Euclid distance due to addition of selection of a candidate constellation point at present level according to the obtained candidate constellation points; and step 4, deciding and outputting space-time decoding according to the sum of calculated increments of Euclid distances of candidate constellation points at all levels.

    CO-CHANNEL SPATIAL SEPARATION USING MATCHED DOPPLER FILTERING
    2.
    发明公开
    CO-CHANNEL SPATIAL SEPARATION USING MATCHED DOPPLER FILTERING 审中-公开
    RÄUMLICHEGLEICHKANALTRENNUNG MIT ANGEPASSTER DOPPLERFILTERUNG

    公开(公告)号：EP3128707A1

    公开(公告)日：2017-02-08

    申请号：EP16001727.3

    申请日：2016-08-03

    申请人： Harris Corporation

    发明人： Dyson, Timothy F. ,  McPherson, Rodney K.

    IPC分类号： H04L25/03 ,  G08G3/02 ,  H04B7/185 ,  H04L25/06

    CPC分类号： H04L27/2649 ,  G08G3/02 ,  H04L1/0045 ,  H04L1/0061 ,  H04L5/0058 ,  H04L25/03057 ,  H04L25/03203 ,  H04L25/03318 ,  H04L25/067

    摘要： Systems (100) and methods for co-channel separation of communication signals. The methods involve: simultaneously receiving a plurality of communication signals transmitted at disparate relative Doppler frequencies from different locations within a multi-access system; performing matched filtering operations to pre-process each of the plurality of communication signals so as to generate pre-processed digitized samples using a priori information contained in pre-ambles (302, 304) of messages present within the plurality of communication signals; using estimated signal parameters to detect the plurality of communication signals from the pre-processed digitized samples; and demodulating the plurality of communication signals without using a Viterbi decoder.

    摘要翻译： 系统（100）和通信信号的同频道分离方法。 所述方法包括：同时接收以多址系统内的不同位置以不同的相对多普勒频率发送的多个通信信号; 执行匹配滤波操作以预处理所述多个通信信号中的每一个，以便使用包含在所述多个通信信号中存在的消息的前置放电（302,304）内的先验信息来生成预处理的数字化采样; 使用估计的信号参数来从预处理的数字化采样中检测多个通信信号; 并且在不使用维特比解码器的情况下解调多个通信信号。

    A METHOD PERFORMED BY A SPHERE DECODER BASED TURBO EQUALIZER
    4.
    发明公开
    A METHOD PERFORMED BY A SPHERE DECODER BASED TURBO EQUALIZER 有权
    程序由TURBO均衡器基于一个SPHÄRENDECODIERERS执行

    公开(公告)号：EP3005635A1

    公开(公告)日：2016-04-13

    申请号：EP14730446.3

    申请日：2014-05-23

    申请人： Telefonaktiebolaget LM Ericsson (publ)

    发明人： PAKER, Özgün

    IPC分类号： H04L25/03

    CPC分类号： H04L25/03242 ,  H03M13/258 ,  H04L25/03286 ,  H04L25/03318 ,  H04L27/3416 ,  H04L2025/03426 ,  H04L2025/03611

    摘要： A sphere decoder based turbo equalizer is described. A method comprises assorting in a first vector Quadrature Amplitude Modulation,QAM,symbols on a particular tree level based on first distance properties, assorting in a second vector QAM symbols on the particular tree level based on second distance properties, selecting the QAM symbol with the minimum second distance property in the second vector, wherein said selecting comprises labeling the selected QAM symbol as protected, identifying the selected QAM symbol in the first vector assorted by distance properties, pruning the first vector by eliminating all QAM symbols having a larger first distance property compared to the selected QAM symbol, wherein said pruning is restricted to QAM symbols not being labeled as protected, and repeating the steps d-e selecting the QAM symbol with the next minimum second distance property.

    Adaptive decoding based on signal to noise ratio (SNR)
    10.
    发明公开
    Adaptive decoding based on signal to noise ratio (SNR) 审中-公开
    基于所述信噪比自适应解码（SNR）

    公开(公告)号：EP2738989A3

    公开(公告)日：2015-11-18

    申请号：EP13005564.3

    申请日：2013-11-29

    申请人： Broadcom Corporation

    发明人： Shen, Ba-Zhong ,  Prodan, Richard ,  Kliger, Avi ,  Lee, Tak ,  Cameron, Kelly ,  Tran, Hau ,  Montreuil, Leo ,  Min, Jonathan S.

    IPC分类号： H04L25/03 ,  H04L25/06 ,  H04L1/00

    CPC分类号： H04L1/0054 ,  H04L1/0045 ,  H04L25/03159 ,  H04L25/03318 ,  H04L25/067 ,  H04L27/2649

    摘要： A communication device is configured adaptively to process a receive signal based on noise that may have adversely affected the signal during transition via communication channel. The device may be configured to identify those portions of the signal of the signal that are noise-affected (e.g., noise-affected sub-carriers of an orthogonal frequency division multiplexing (OFDM) signal), or the device may receive information that identifies those portions of the signal that are noise-affected from one or more other devices. The device may be configured to perform the modulation processing of the received signal to generate log-likelihood ratios (LLRs) for use in decoding the signal. Those LLRs associated with noise-affected portions of the signal are handled differently than LLRs associated with portions of the signal that are not noise-affected. The LLRs may be scaled based on signal to noise ratio(s) (SNR(s)) associated with the signal (e.g., based on background noise, burst noise, etc.).