Loading

Performance Analysis and Comparison of Different Modulation Schemes with Channel Estimation Methods for MIMO-OFDM System
R Jeya1, B. Amutha2, Maninder Singh3, Chetan Arora4

1R Jeya, Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.

2B. Amutha, Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.

3Maninder Singh, Student, SRM Institute of Science and Technology, Kattankulathur, India.

4Chetan Arora, Student, SRM Institute of Science and Technology, Kattankulathur, India.

Manuscript received on 04 May 2019 | Revised Manuscript received on 09 May 2019 | Manuscript Published on 13 May 2019 | PP: 54-59 | Volume-8 Issue-7S May 2019 | Retrieval Number: G10120587S19/19©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: In Communication systems Multi Input Multi Output -Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is the most popular and competitive technology for its capability of high rate transmission and its robustness against multipath fading. The performance of a network can result in so many issues and it experiences some degradation in quality due to intercarrier interference.. High data rate information and strong reliability in wireless communication has become the most important factor for the commercial wireless networks. In this paper some different equalizing techniques are implemented and their performances are compared. Here, BER and SNR are the two factors which will be evaluate the performance of the network. MMSE-SIC and ZF-SIC equalizer techniques are implemented .and the performance values are analyzed . Training Symbol based channel estimation involves algorithms like LSE(Least Square Error) and MMSE(Minimum Mean Square Error).Training symbols usually provide a good performance as seen in previous works in this wireless networking area.

Keywords: MIMO, OFDM, MMSE-SIC, ZF-SIC, MMSE, ZF.
Scope of the Article: Computer Science and Its Applications