چکیده مقاله
The aim of this paper is to investigate channel estimation methods based on adaptive methods in MIMO OFDM systems In this paper, least mean square LMS and recursive least squares RLS adaptive channel estimator are described for multiple input multiple output MIMO orthogonal frequency division multiplexing OFDM systems These CE methods uses adaptive estimator which are able to update parameters of the estimator continuously, so that the knowledge of channel and noise statistics are not necessary First of all, pilots were inserted among subcarriers in transmitter with distances emerged of sampling theory then Least Square method was chosen for initial channel estimation in pilots at receiver The simulation results showed that the RLS CE algorithm is better to use for MIMO OFDM systems
کلیدواژهها
نویسندگان
Adel Abbasi
Department of Electrical Engineering, Boushehr Branch, Islamic Azad University, Boushehr, Iran
Navid Daryasafar
Faculty of Electrical Engineering, Dashtestan Branch, Islamic Azad University, Borazjan, Iran
شیوه ارجاع
Abbasi, Adel and Daryasafar, Navid,1394,Adaptive Channel Techniques with Optimum Training Sequences for MIMO-OFDM Systems,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
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