The paper proposes and investigates a new approach to adaptive spatio-temporal equalization for MIMO (multiple-input multiple-output) channels. A system with n transmit and m (m≥n) receiver antennas is\udassumed. \ud\udA decision Feedback equalizer is considered. A least squares\udsolution is first formulated, based on which a recursive solution using Riccati recursions is proposed. The proposed solution is tested by simulating the MIMO system. It is shown that the adaptive solution achieves the same performance as the optimum least squares solution. The\udeffect of the nondiagonal channel elements (acting as interference) on the system performance is also studied. It has been shown that in order to achieve better performance, the interference from nondiagonal channel elements needs to be minimized. This can be done by using orthogonal\udtransmission. Moreover the proposed solution do not require channel identification and will also enable equalizer adaptation to channel changes.
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机译：本文提出并研究了一种用于MIMO（多输入多输出）信道的自适应时空均衡的新方法。假定具有n个发射天线和m个（m≥n）接收天线的系统。 \ ud \ ud考虑决策反馈均衡器。首先制定最小二乘\ udsolution，在此基础上，提出了使用Riccati递归的递归解。通过仿真MIMO系统对提出的解决方案进行了测试。结果表明，自适应解获得了与最佳最小二乘解相同的性能。还研究了非对角信道元素对系统性能的影响。已经表明，为了获得更好的性能，非对角信道元素的干扰需要被最小化。这可以通过使用正交\ udtransmission来完成。此外，所提出的解决方案不需要信道识别，并且还将使均衡器能够适应信道变化。
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