论文部分内容阅读
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.
In order to reduce the number of pilots and improve the spectrum utilization rate, the newly proposed compression sensing technology is applied to the channel estimation of digital broadcasting. Among the 6 channel modes specified by the European Telecommunications Standards Institute’s DRM standard, for determining the number of channel mode multipaths The subspace tracking algorithm is used to estimate the delay spread and attenuation of each path. The iterative termination condition of the algorithm is set as follows: the sparseness of the estimation result is equal to the number of multipath; for the case of unknown number of multipath, the orthogonal matching pursuit algorithm is used to estimate the channel Parameters and setting algorithm The iterative termination condition is that the estimation error is equal to the noise variance.The simulation results show that the compression-aware algorithm is superior to the traditional interpolation-based least square channel estimation algorithm under the same pilot number, In the case of inspection, the subspace tracking algorithm is better than the orthogonal matching pursuit algorithm.