CAJ | 학술논문

针对压缩感知应用于UWB通信信道估计时信息算子的相干性严重影响UWB信道估计精度的问题，提出将优化的信息算子和贝叶斯算法相结合的方法。该方法以互累积相干参数为准则，首先将加权信息算子通过最优化与正则化得到优化的信息算子，最后通过贝叶斯算法重构UWB信道。理论分析和仿真结果表明优化信息算子的相干性大大减弱，有效提高了UWB信道估计精度，同时该方法能在较低的压缩比和信噪比条件下实现UWB通信信道的准确重建。
침대압축감지응용우UWB통신신도고계시신식산자적상간성엄중영향UWB신도고계정도적문제，제출장우화적신식산자화패협사산법상결합적방법。해방법이호루적상간삼수위준칙，수선장가권신식산자통과최우화여정칙화득도우화적신식산자，최후통과패협사산법중구UWB신도。이론분석화방진결과표명우화신식산자적상간성대대감약，유효제고료UWB신도고계정도，동시해방법능재교저적압축비화신조비조건하실현UWB통신신도적준학중건。
The coherence of sensing matrix may affect seriously the estimation accuracy of Ultra-Wideband ( UWB) channel based on Compressive Sensing ( CS ),thus a method is proposed which combines the optimized sensing matrix with Bayesian algorithm .Taking the cross cumulative coherence as the principle,the optimized sensing matrix is obtained by optimizing and regularizing the weighted sensing matrix .Bayesian algorithm is then used to reconstruct the UWB channel .Both the theoretical analysis and the experimental results show that the optimized sensing matrix has weaker coherence compared with the sensing matrix ,and the estimation accuracy of UWB channel is improved effectively .At the same time,the UWB communication channel can be accurately reconstructed with low compressive ratio and SNR .