Loading

Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for MIMO-OFDM Systems
S.B. Lenin1, N. Tamilarasan2, S. Malarkkan3

1S.B. Lenin, Research Scholar, Sathyabama University, (Tamil Nadu), India.
2N. Tamilarasan, Research Scholar, Pondicherry University, (Tamil Nadu), India.
3S. Malarkkan, Principal, Manakular Vinayagar Institute of Technology, Pondicherry (Tamil Nadu), India.
Manuscript received on 07 February 2019 | Revised Manuscript received on 29 March 2019 | Manuscript Published on 28 April 2019 | PP: 105-110 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10260275C19/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A multiple-input multiple (MIMO) communication model is integrated to orthogonal frequency division multiplexing (OFDM) for reliable and data transmission at a higher rate in the broadband wireless channels. A significant part in the wireless data transmission is use of adaptive channel estimation techniques in which the channel is frequently varying. This paper introduces a hybrid adaptive channel estimation technique by integrating the beneficial characteristics of the time domain as well as frequency domain. The column based time domain and the row based frequency domain are combined together and they are used based on the channel quality and received bit error rate (BER). Here, the channel estimation at pilot frequencies depends on minimum mean square error (MMSE). For the evaluation of the proposed techniques, a set of experiments and detailed comparative analysis is made interms of different measures under different condition. The experimental results depicted the proposed method outperforms the other methods.
Keywords: Channel Estimation, OFDM, CSI, MMSE.
Scope of the Article: Frequency Selective Surface