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Channel estimation for MIMO-OFDM systems based on data nulling superimposed pilots

机译:基于数据归零叠加导频的MIMO-OFDM系统信道估计

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This paper proposes a new channel estimation algorithm based on data nulling superimposed pilots for the spatial multiplexing multiple-input-multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. In the proposed method each OFDM data symbol of each transmit antenna is spread over all subcarriers by using a spreading matrix then nulls are introduced at certain subcarriers to cancel the mutual interference between data symbols and superimposed pilots. At receiver accurate channel estimation can be easily acquired based on the superimposed pilots. Then the superimposed pilots are removed from the received signal and simple iterative data detection scheme is used to compensate the distortion which occurred in the data symbols. The simulation results of the proposed algorithm show improvement in the estimation accuracy, bit error rate (BER) and computational complexity compared to that of the conventional superimposed pilot technique. The simulation results also show that the performance of the proposed technique approaches that of the frequency division multiplexed pilots technique while having higher data rate and some excess in the receiver complexity.
机译:本文提出了一种新的基于数据归零叠加导频的信道估计算法,用于空间复用多输入多输出(MIMO)正交频分复用(OFDM)系统。在提出的方法中,通过使用扩展矩阵将每个发射天线的每个OFDM数据符号扩展到所有子载波上,然后在某些子载波上引入空值,以消除数据符号和叠加导频之间的相互干扰。在接收机处,可以基于叠加的导频容易地获取准确的信道估计。然后,从接收信号中去除叠加的导频,并且使用简单的迭代数据检测方案来补偿在数据符号中出现的失真。与传统的叠加导频技术相比,该算法的仿真结果表明在估计精度,误码率(BER)和计算复杂度方面都有所提高。仿真结果还表明,所提出的技术的性能接近频分复用导频技术的性能,同时具有更高的数据速率和接收机复杂度方面的一些过剩。

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