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Maximum-likelihood joint channel estimation and data detection for space time block coded MIMO systems

机译:空时分组编码MIMO系统的最大似然联合信道估计和数据检测

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This paper considers an exact maximum likelihood (ML) joint channel estimation and data detection problem for orthogonal space time block coded (OSTBC) multiple input multiple output (MIMO) systems. We propose an efficient algorithm which achieves exact ML blind data detection even for non-constant-modulus constellations. To the best of our knowledge, this is the first algorithm which efficiently achieves exact ML blind detection for OSTBC MIMO systems with non-constant-modulus constellations. Simulation results validate the performance and the complexity improvements our scheme compare with that of LS channel estimation and data detection scheme.
机译:本文考虑了正交空时分块编码(OSTBC)多输入多输出(MIMO)系统的精确最大似然(ML)联合信道估计和数据检测问题。我们提出一种有效的算法,即使对于非恒定模数星座,它也可以实现精确的ML盲数据检测。据我们所知,这是第一个为具有非恒定模星座的OSTBC MIMO系统有效实现精确ML盲检测的算法。仿真结果验证了该方案与LS信道估计和数据检测方案相比性能和复杂度的提高。

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