CAJ | 학술논문

为降低导频数目并提高频谱利用率,将最新提出的压缩感知技术应用于数字广播的信道估计.在欧洲电信标准协会DRM标准规定的6种信道模式中,对于确定了信道模式多径数目的情况,采用子空间跟踪算法估计各径的时延扩展和衰减,设定算法迭代终止条件为估计结果的稀疏度等于多径数目;对于多径数目未知的情况,采用正交匹配追踪算法估计信道参数,设定算法迭代终止条件为估计误差等于噪声方差.仿真结果表明,在相同的导频数目下,压缩感知算法优于传统的基于内插的最小二乘信道估计算法;在多径数目先验的情况下,子空间跟踪算法优于正交匹配追踪算法.
위강저도빈수목병제고빈보이용솔,장최신제출적압축감지기술응용우수자엄파적신도고계.재구주전신표준협회DRM표준규정적6충신도모식중,대우학정료신도모식다경수목적정황,채용자공간근종산법고계각경적시연확전화쇠감,설정산법질대종지조건위고계결과적희소도등우다경수목;대우다경수목미지적정황,채용정교필배추종산법고계신도삼수,설정산법질대종지조건위고계오차등우조성방차.방진결과표명,재상동적도빈수목하,압축감지산법우우전통적기우내삽적최소이승신도고계산법;재다경수목선험적정황하,자공간근종산법우우정교필배추종산법.
In order to reduce the pilot number and improve spectral efficiency, recently emerged compressive sensing (CS) is applied to the digital broadcast channel estimation. According to the six channel profiles of the European Telecommunication Standards Institute(ETSI) digital radio mondiale (DRM) standard, the subspace pursuit (SP) algorithm is employed for delay spread and attenuation estimation of each path in the case where the channel profile is identified and the multipath number is known. The stop condition for SP is that the sparsity of the estimation equals the multipath number. For the case where the multipath number is unknown, the orthogonal matching pursuit (OMP) algorithm is employed for channel estimation, while the stop condition is that the estimation achieves the noise variance. Simulation results show that with the same number of pilots, CS algorithms outperform the traditional cubic-spline-interpolation-based least squares (LS) channel estimation. SP is also demonstrated to be better than OMP when the multipath number is known as a priori.