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DETERMINING RESPONSES OF RAPIDLY VARYING MIMO-OFDM COMMUNICATION CHANNELS USING OBSERVATION SCALARS

机译:使用观测标量确定快速变化的MIMO-OFDM通信信道的响应

摘要

In an embodiment, a channel estimator includes first, second, and third stages. The first stage is configurable to generate a first observation scalar for a first communication path of a first communication channel, and the second stage is configurable to generate a second observation scalar for a first communication path of a second communication channel. And the third stage is configurable to generate channel-estimation coefficients in response to the first and second observation scalars. For example, such a channel estimator may use a recursive algorithm, such as a Vector State Scalar Observation (VSSO) Kalman algorithm, to estimate the responses of channels over which propagate simultaneous orthogonal-frequency-division-multiplexed (OFDM) signals (e.g., MIMO-OFDM signals) that suffer from inter-carrier interference (ICI) due to Doppler spread. Such a channel estimator may estimate the channel responses more accurately, more efficiently, with a less-complex algorithm, and with less-complex software or circuitry, than conventional channel estimators.
机译:在一个实施例中,信道估计器包括第一,第二和第三阶段。第一级可配置为生成用于第一通信信道的第一通信路径的第一观测标量,并且第二级可配置为生成用于第二通信信道的第一通信路径的第二观测标量。第三阶段可配置为响应于第一和第二观测标量来生成信道估计系数。例如,这样的信道估计器可以使用诸如矢量状态标量观测(VSSO)卡尔曼算法的递归算法来估计在其上同时传播正交频分复用(OFDM)信号的信道的响应(例如,由于多普勒扩展而遭受载波间干扰(ICI)的MIMO-OFDM信号)。与传统的信道估计器相比,这种信道估计器可以使用较少复杂的算法以及较少复杂的软件或电路来更准确,更有效地估计信道响应。

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