Title :
Application of Compressive Sensing for Estimating Sparse Multipaths Channel of MIMO Systems
Author :
Jin, Ming ; Li, Youming
Author_Institution :
Coll. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
Abstract :
The compressive sensing (CS) theory can be applied for estimating the nonselective sparse multipath channel of multiple-input multiple-output (MIMO) systems. In this paper, a progressive refinement approach is given for alleviating the high computational load from high dimensions of basis matrix. Comparing with the least square (LS) estimating method, the presented algorithm is shown to be achieving a better performance. Finally, numerical simulations verify the proposed method.
Keywords :
MIMO communication; channel estimation; least squares approximations; matrix algebra; multipath channels; numerical analysis; signal reconstruction; CS theory; LS estimation method; MIMO system; compressive sensing theory; least square estimation method; multiple-input multiple-output system; nonselective sparse multipath channel estimation; numerical simulation; progressive refinement approach; Channel estimation; Compressed sensing; Information science; MIMO; MIMO radar; Multipath channels; Signal processing;
Conference_Titel :
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7253-6
DOI :
10.1109/ITAP.2011.6006114
