基于ML和GLRT的超宽带TR接收机的改进

Shahin Nikookhoy, V. Vakili, Ali Jarrahi
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引用次数: 0

摘要

对于超宽带传输参考(UWBTR)系统,最大似然(ML)和广义似然比检验(GLRT)是估计接收机中相关模板的两种主要方法。本文将这些方法推广到脉冲位置调制(PPM)中,并与脉冲幅度调制(PAM)进行比较。我们还改进了这些方法,通过对ML接收机使用更好的截止来获得约3db的性能增益,并提出了一种新的改进的GLRTreceiver,当使用PPM和PAM信号时,可以将GLRTreceiver的性能提高1dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improvement for ML and GLRT Based UWB TR Receivers
For ultra wideband transmitted reference (UWBTR)systems Maximum-likelihood (ML) and generalizedlikelihood ratio test (GLRT) are two major methods toestimate a correlation template in receivers. In this paperthese methods will be generalized for pulse positionmodulation (PPM) and will be compared with pulse amplitudemodulation (PAM). We also improve these methods by using abetter cutoff for ML receivers to achieve about 3dBperformance gain, and presenting a new improved GLRTreceiver which can ameliorate performance of the GLRTreceiver by 1dB when PPM and PAM signals are employed.
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