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Semi-blind adaptive beamforming based on constant modulus algorithm for smart antennas

机译:基于恒定模量算法的智能天线半盲自适应波束形成

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摘要

Adaptive beamforming plays an important role in smart antenna systems. Nonblind adaptive algorithm utilizes the known training sequence to update the weights of antenna array at the cost of low transmission efficiency. Without sending training sequences, blind adaptive algorithm is a solution to implement beamforming and increase the transmission efficiency. Two classic blind algorithms are studied, namely constant modulus (CM) algorithm and Least squares-constant modulus (LS-CM) algorithm. Considering the advantages of the nonblind and blind algorithms, a semi-blind adaptive beamforming based on CM algorithm is proposed in this paper. Simulation results indicate it has comparable performance compared with nonblind adaptive algorithm, while it only needs the training sequence in the first iteration.
机译:自适应波束成形在智能天线系统中起着重要作用。非盲自适应算法利用已知的训练序列来以较低的传输效率为代价来更新天线阵列的权重。无需发送训练序列,盲自适应算法是一种实现波束成形并提高传输效率的解决方案。研究了两种经典的盲算法,即恒模(CM)算法和最小二乘-恒模(LS-CM)算法。鉴于非盲和盲算法的优点,提出了一种基于CM算法的半盲自适应波束形成方法。仿真结果表明,与非盲自适应算法相比,它具有可比的性能,而在第一次迭代中只需要训练序列即可。

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