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Direct blind symbol estimation for DS-CDMA without channel estimation

机译:没有信道估计的DS-CDMA的直接盲标数估计

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Based on the subspace method, a closed-form CDMA signal and DOA estimation approach without the knowledge of space-time channel and training sequence is presented. An auxiliary matrix is constructed by exploiting the special structure of the antenna array. Then the symbols instead of their signal subspace are achieved by eigendecomposition of the auxiliary matrix. Therefore, the puzzle of separating the different users' signal from their signal subspace in conventional blind symbol estimation method is avoided. In comparison with the conventional space-time linear multiuser detector, in which the knowledge of space-time channel is assumed to be known, the proposed method has the advantage of lower computation without degrading the near-far resistance performance. Finally, numeral simulations are presented.
机译:基于子空间方法,介绍了没有节省时间信道和训练序列的知识的闭合CDMA信号和DOA估计方法。通过利用天线阵列的特殊结构来构建辅助矩阵。然后通过辅助矩阵的实际分解来实现符号而不是其信号子空间。因此,避免了在传统的盲符号估计方法中与信号子空间分离不同用户信号的拼图。与传统的时空线性多用户检测器相比,假设空时通道的知识被认为是已知的,所提出的方法具有较低的计算的优点而不降低近距离的电阻性能。最后,提出了数字模拟。

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