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Estimation of the nonstationary mean signal in wireless systems using wavelets

机译:使用小波估计无线系统中的非营养均值信号

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A new technique is described for estimating the nonstationary mean signal received at a mobile station in a Rayleigh fading environment. The estimate is based on samples taken at the midpoints between the local minima of the received envelope The continuous wavelet transform is used to estimate the local minima An estimate of the mean signal is obtained using a fixed number or local minima This technique requires neither an estimate of the mobile speed nor an adaptive temporal averaging window, in contrast to other estimators. Simulations show that the mean signal is estimated well in nonstationary environment with variable mobile speed.
机译:描述了一种新技术,用于估计在瑞利衰落环境中在移动台处接收的非间断平均信号。估计是基于在接收包络的局部最小值之间的中点之间采集的样本,该封闭小波变换用于估计局部最小值使用固定数量或局部最小值获得平均信号的估计该技术既不需要估计移动速度和自适应时间平均窗口与其他估计器相比。模拟表明,在具有可变移动速度的非间断环境中估计平均信号。

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