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    Method and apparatus for optimum selection of MIMO and interference cancellation
    81.
    发明申请
    Method and apparatus for optimum selection of MIMO and interference cancellation 有权
    用于MIMO和干扰消除的最佳选择的方法和装置

    公开(公告)号：US20060285585A1

    公开(公告)日：2006-12-21

    申请号：US11454762

    申请日：2006-06-15

    申请人： Hemanth Sampath

    发明人： Hemanth Sampath

    IPC分类号： G01N37/00 ,  H04B17/00

    CPC分类号： H04B7/0632 ,  H04B7/063 ,  H04B7/0817 ,  H04L1/0026 ,  H04L1/06 ,  H04L25/0206

    摘要： Systems and methodologies are described that facilitate performing interference nulling and rank prediction in an access terminal. Multiple receiver demodulator types may be implemented at the access terminal, and an interference covariance matrix may be estimated thereat. SNRs may be calculated for the various receiver demodulator types, and an optimum rank and associated CQI information may be identified and generated, respectively, which information may then be transmitted to an access point. At least one of the receiver demodulator types may perform an interference nulling protocol. For example, the receiver demodulator types may comprise at least one minimum mean-squared error interference-nulling (MMSE-IN) demodulator, along with and one or more of a maximal ratio combining (MRC) demodulator and a minimum mean-squared error (MMSE) demodulator.

    摘要翻译： 描述了有助于在接入终端中执行干扰归零和秩预测的系统和方法。 可以在接入终端实现多个接收机解调器类型，并且可以在其上估计干扰协方差矩阵。 可以针对各种接收机解调器类型计算SNR，并且可以分别识别和生成最佳等级和相关联的CQI信息，然后可以将哪些信息发送到接入点。 至少一个接收机解调器类型可以执行干扰归零协议。 例如，接收机解调器类型可以包括至少一个最小均方误差干扰消隐（MMSE-IN）解调器，以及最大比组合（MRC）解调器和最小均方误差（MRC）的一个或多个 MMSE）解调器。

    System and method for multiple signal carrier time domain channel estimation
    82.
    发明申请
    System and method for multiple signal carrier time domain channel estimation 失效

    公开(公告)号：US20060188034A1

    公开(公告)日：2006-08-24

    申请号：US11402597

    申请日：2006-04-12

    申请人： Hemanth Sampath

    发明人： Hemanth Sampath

    IPC分类号： H04K1/10

    CPC分类号： H04L25/0232 ,  H04L25/022 ,  H04L25/0222 ,  H04L27/2647

    摘要： The present invention provides a method of characterizing a frequency response of a transmission channel between a transceiver and a subscriber unit. The method includes once per predetermined interval of time, the transceiver transmitting a signal including multiple carriers, a plurality of the carriers including training symbols, a plurality of the carriers including information symbols. The subscriber unit generates frequency response estimates at the frequencies of the carriers including training symbols, each interval of time. The frequency response estimates are converted into a time domain response generating an impulse response once per interval of time. The impulse responses are filtered over a plurality of intervals of time. A channel profile is determined from the filtered impulse responses. The channel profile is converted to the frequency domain generating a channel interpolator. The characterized frequency response is generated from the channel interpolator and the frequency response estimates. The filtering can include averaging the impulse responses over a plurality of intervals of time, accumulating the impulse responses over a plurality of intervals of time, or weighted averaging of the impulse responses over a plurality of intervals of time. The weighted averaging can be dependent upon a phase error between the impulse responses, and/or an amplitude error between the impulse responses.

    Performance based rank prediction for MIMO design
    83.
    发明申请
    Performance based rank prediction for MIMO design 有权

    公开(公告)号：US20060133521A1

    公开(公告)日：2006-06-22

    申请号：US11021791

    申请日：2004-12-22

    申请人： Hemanth Sampath ,  Tamer Kadous

    发明人： Hemanth Sampath ,  Tamer Kadous

    IPC分类号： H04K1/10

    CPC分类号： H04L1/0618 ,  H04B7/0486 ,  H04L27/2608

    摘要： The performance of a Single Code Word (SCW) design with low complexity MMSE receiver & rank prediction is similar to the Multiple Code Word (MCW) design with successive interference cancellation (SIC). A method of rank prediction comprises calculating MIMO channel matrices corresponding to layer transmissions for each tone, calculating signal-to-noise ratios (SNRs) for each tone based on the MIMO channel matrices, mapping the SNR for each tone to generate effective SNRs for each layer transmission, selecting a highest packet format (PF) with an SNR threshold less than the effective SNR for each layer transmission, maximizing an over-all spectral efficiency based on the selected highest packet formats for each layer transmission, and selecting a rank based on maximizing an over-all spectral efficiency.