基于压缩感知的DRM信道估计

DRM Channel Estimation Based on Compressed Sensing

针对数字调幅广播(Digital Radio Mondiale,DRM)系统频谱有限的特点,为了以较少的导频开销获得精确的信道状态信息,本文将压缩感知理论与信道估计问题相联系,建立基于压缩感知的DRM信道估计模型,并分析和验证导频插入方式和数量对信道估计性能的影响。与LS(Least Square)方法相比,基于压缩感知的DRM信道估计不但能够以更少的导频获得精确可靠的估计结果,而且在提升信道估计性能的同时提高频谱利用率。

For characteristics of spectrum limitation of Digital Radio Mondiale(DRM),in order to obtain accurate channel status information with lower pilot overhead,the paper sets up a relationship between compressed sensing theory and channel estimation problem,build DRM channel estimation model based on compressed sensing and analyzes and verifies the impacts of the inserting method and quantity of pilots on the estimation performance.Compared with least-squares algorithm,channel estimation algorithm based on compressed sensing may not only obtain accurate and reliable estimation results with lower cost but also improve the estimation performance of channels while raising the spectrum utilization.