A mobile tracking algorithm for adaptive array smart antennas by adapting the weights of the transmit antenna

S. Hussain, S.A.H. Shah, M. I. Sheikh
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引用次数: 5

Abstract

A simple stochastic gradient algorithm for adaptation of complex baseband weights of the transmit antenna at the base station by feedback from the mobile is presented. In order to converge to the optimal weights of the transmit antenna, the algorithm relies on two feedbacks from the mobile. The first feedback consist of a bit that indicates which of the two normalized perturbed weights sent along with the pilot signal from the base station delivered more power to the mobile. The second feedback consists of the difference of the powers delivered by the two normalized perturbed weights. The second feedback is sent only when the power difference decreases as compared to the previous minimum stored power difference. Utilizing these two feedbacks, our algorithm at the base station updates the complex base weights of the transmit antenna. It makes a coarse stochastic gradient algorithm and converges to those weights that maximize the power delivered to the receiver. This has been confirmed by simulations.
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一种基于发射天线权值的自适应阵列智能天线移动跟踪算法
提出了一种简单的随机梯度算法,利用移动端反馈自适应基站发射天线的复杂基带权重。为了收敛到发射天线的最优权值,该算法依赖于来自移动端的两个反馈。第一个反馈由一个比特组成,该比特表示与基站的导频信号一起发送的两个归一化扰动权重中,哪一个向移动设备提供了更多的功率。第二次反馈由两个归一化扰动权值所传递的功率之差组成。只有当功率差比之前的最小存储功率差减小时,才发送第二个反馈。利用这两种反馈,我们的算法在基站更新发射天线的复杂基权值。它采用了一种粗糙的随机梯度算法,并收敛到那些能使发送给接收器的功率最大化的权重。这已经通过模拟得到了证实。
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