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Switched Diversity Techniques for Indoor Off-Body Communication Channels: An Experimental Analysis and Modeling

机译:室内离体通信信道的交换分集技术:实验分析和建模

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This communication investigates the potential improvement in signal reliability for indoor off-body communications channels operating at 5.8 GHz using switched diversity techniques. In particular, we investi-gate the performance of switch-and-stay combining (SSC), switch-and-examine combining (SEC), and (SECps) schemes, which utilize multiple spatially separated antennas at the base station. During the measurements, a test subject, wearing an antenna on his chest, performed a number of walking movements toward and then away from a uniform linear array. It was found that all the considered diversity schemes provided a worthwhile signal improvement. However, the performance of the diversity systems varied according to the switching threshold that was adopted. To model the fading envelope observed at the output of each of the combiners, we have applied diversity specific equations developed under the assumption of Nakagami- $m$ fading. As a measure of the goodness-of-fit, the Kullback–Leibler divergence between the empirical and theoretical probability density functions (pdfs) was calculated and found to be close to 0. To assist with the interpretation of the goodness-of-fit achieved in this communication, the standard deviation $sigma $ of a zero-mean, $sigma ^{2}$ variance Gaussian pdf used to approximate a zero-mean, unit variance Gaussian pdf is also presented. These were generally quite close to 1 indicating that the theoretical models provided an adequate fit to the measured data.
机译:此通信调查了使用切换分集技术在5.8 GHz下运行的室内体外通信信道在信号可靠性方面的潜在改进。特别是,我们研究了交换和保持组合(SSC),交换和检查组合(SEC)和(SECps)方案的性能,这些方案在基站使用了多个空间分离的天线。在测量过程中,被测者的胸部戴着天线,朝着然后离开均匀的线性阵列进行了许多步行运动。发现所有考虑的分集方案都提供了有价值的信号改进。然而,分集系统的性能根据所采用的切换阈值而变化。为了对在每个组合器的输出处观察到的衰落包络建模,我们应用了在Nakagami- $ m $衰落假设下开发的分集特定方程。作为拟合优度的一种度量,计算了经验和理论概率密度函数(pdfs)之间的Kullback-Leibler差异,并接近于0。为了帮助解释所获得的拟合优度在此通信中,还介绍了零均值的标准偏差$ sigma $,$ sigma ^ {2} $方差高斯pdf,用于近似零均值,单位方差Gaussian pdf。这些通常非常接近1,表明理论模型对测量数据提供了足够的拟合度。

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