Estimation of time-domain calibration parameters to restore MIMO-TDD channel reciprocity

B. Kouassi, I. Ghauri, L. Deneire
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引用次数: 11

Abstract

Spatial interweave cognitive radio opportunistically exploits spatial holes to enable transmission of secondary systems. The latter form carefully aligned spatial beams so that there is no interference to the primary system. This requires acquisition of the (spatio-temporal) channel state (CS) between the secondary emitter and the primary receiver. CS can be acquired by using a multi-input multi-output time-division-duplex (MIMO-TDD) setup thanks to channel reciprocity inherent in such systems. Unfortunately, global reciprocity is often jeopardized by the nonreciprocal radio frequency front-ends (RF) at the two ends of the link. Restoration of reciprocity to compensate for the RF calls for on-line (and hence low complexity) calibration parameters estimation. In this paper, we propose an approach to estimate the space-time-domain parameters restoring the channel reciprocity in a frequency selective MIMO-TDD context. Accounting for antenna coupling effects, we find accurate space-time-domain calibration parameters and demonstrate real-time calibration process in an OFDM system.
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估计时域校准参数以恢复MIMO-TDD通道互易性
空间交织认知无线电利用空间漏洞实现二次系统的传输。后者形成精心排列的空间光束,这样就不会对主系统产生干扰。这需要在次级发射器和主接收器之间获取(时空)信道状态(CS)。由于这种系统固有的信道互易性,CS可以通过使用多输入多输出时分双工(MIMO-TDD)设置来获得。不幸的是,全局互易性经常被链路两端的非互易射频前端(RF)破坏。恢复互易性以补偿在线校准参数估计的RF调用(因此复杂性较低)。在本文中,我们提出了一种在频率选择性MIMO-TDD环境下估计时空参数以恢复信道互易性的方法。考虑天线耦合效应,找到准确的空-时标定参数,并演示了OFDM系统的实时标定过程。
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