In this chapter, we investigated the application of compressed sensing in channel estimation for the emerging 60 GHz millimeter-wave communications. We firstly investigate the regular orthogonal matching pursuit (Regularized OMP) algorithm for 60 GHz systems, and then consider the characteristics of 60 GHz channel, a Cluster-based Classification Compressed Sensing Algorithm is finally proposed on this basis. It may significantly reduce the reconstruction error of the channel estimation. Error ratios of CS-ROMP and algorithm based Cluster-Classification are thoroughly compared and comprehensive analysis is given relying on the experimental simulations. The results show that CS-ROMP algorithms can be properly applied to channel estimation of the 60 GHz system. The developed Cluster-based Classification Compressed Sensing Algorithm shows a superior performance in both the precision of the channel estimation and the complexity of reconstruction. © 2012 Springer Science+Business.
CITATION STYLE
Sun, X., Hou, M., Tao, H., Zhang, S., Li, B., & Zhao, C. (2012). 60 GHz ultra-band channel estimation based on cluster-classification compressed sensing. In Lecture Notes in Electrical Engineering (Vol. 202 LNEE, pp. 417–425). https://doi.org/10.1007/978-1-4614-5803-6_42
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