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Combining Signals by Weighted Least Square Error Method for Wireless Communication Networks

机译:无线通信网络中的加权最小二乘误差组合信号

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摘要

In this paper we presented weighted least square error method for signal combining for wireless communication in presence of unequal channels noise variance. The method has been commonly used for target tracking and in econometrics. System presented for signal combining by weighted least square error is a receiver with filters at each received branch for the error estimation (noise). The inverse of estimate of channels noise variance used as weights for signal combining to achieve wiener's solution. The presented scheme of signal combining is particularly useful when wireless communication subject to unequal noise variance which is very common in present wireless communication systems . The performance of our scheme is shown by computer simulation in Gaussian, Rayleigh flat fading and frequrency selective wireless communication channel. The computer simulation performance of the system is about 10~(-3) bits at 8 dB SNR and about NT~(-4) at 16 dB SNR in wireless flat fading Raleigh channel with two receive antennas.
机译:在本文中,我们提出了加权最小二乘误差方法,用于在不相等信道噪声方差的情况下进行无线通信的信号组合。该方法已普遍用于目标跟踪和计量经济学。所提出的用于通过加权最小二乘误差进行信号组合的系统是一种在每个接收分支均具有滤波器的接收机,用于误差估计(噪声)。信道噪声方差估计值的倒数,用作信号合并以实现维纳解决方案的权重。当无线通信遭受不相等的噪声方差时,所提出的信号组合方案特别有用,这在当前的无线通信系统中非常普遍。在高斯,瑞利平坦衰落和频率选择性无线通信信道上的计算机仿真显示了我们方案的性能。在具有两个接收天线的无线平坦衰落罗利信道中,系统的计算机仿真性能在8 dB SNR时约为10〜(-3)位,在16 dB SNR时约为NT〜(-4)。

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