Title :
Comparative study of adaptive filter channel estimation technique in MIMO-OFDM system based on STBC
Author :
Mei Li ; Xiang Wang ; Kun Zhang
Author_Institution :
Inst. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shi Jiazhuang, China
Abstract :
In this paper, we will analyze the Least Mean Square(LMS) and Recursive Least Square(RLS) algorithms. Then, we apply these two algorithms to a Multiple-input Multiple-output(MIMO-OFDM) system based on Space-Time Block Coding(STBC), and do some simulations on these two algorithms. From the simulation, it is found that the convergence speed of the RLS algorithm is faster than LMS algorithm, i.e., the performance of RLS is better than LMS algorithm.
Keywords :
MIMO communication; OFDM modulation; adaptive filters; channel estimation; least mean squares methods; space-time block codes; LMS algorithms; MIMO-OFDM system; RLS algorithms; STBC; adaptive filter channel estimation technique; convergence speed; least mean square algorithms; multiple-input multiple-output system-OFDM system; recursive least square algorithms; space-time block coding; Abstracts; Accuracy; Adaptive systems; Encoding; Filtering algorithms; Least squares approximations; Time-frequency analysis; Adaptive filter algorithm; Channel estimation; Multiple-input multiple-output; Orthogonal frequency division multiplexing;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009691
