Design and Improvement of WiMAX OSTBC– OFDM Transceiver Based Multiwavelet Signals by Tomlinson-Harashima Precoding on SFF SDR Development Platform
Mohammed Aboud Kadhim1, Maha M. Mohammad Ali2

1Dr.Mohammed Aboud Kadhim, Foundation of Technical Education, Baghdad Iraq.
2Maha M. Mohammad Ali, Foundation of Technical Education, Baghdad Iraq
Manuscript received on 8 December 2013 | Revised Manuscript received on 18 December 2013 | Manuscript Published on 30 December 2013 | PP: 127-134 | Volume-3 Issue-7, December 2013 | Retrieval Number: G1404123713/13©BEIESP
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© 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 this paper, a new robust transceiver design with Tomlinson-Harashima precoding (THP) for multiple-input multiple-output (MIMO) for fixed (Worldwide Interoperability for Microwave Access) WiMAX Transceiver Based on multiwavelet signals is investigated.THP is adopted to mitigate the spatial inter symbol interference. All cases are based on the IEEE 802.16d standard using Orthogonal Frequency-Division Multiplexing (OFDM) based multiwavelet to further reduce the level of interference and increase spectral efficiency and 16-Quadrature amplitude modulation (QAM) half-values of coding rates, using Small Form Factor (SFF) Software Defined Radio (SDR) Development Platform. The proposed THP design achieves considerably lower bit error rate or bit error ratio (BER) and higher signal-to-noise power ratio than not using THP. The proposed TH pre-coding system was modeled-tested, and its performance is found to comply with International Telecommunications Union channel models (ITU) that have been elected for the wireless channel in the simulation process. Finally, the performance advantage of the proposed robust with THP design over non-robust design is demonstrated by simulation results.
Keywords: THP, WiMAX, SFF SDR, OFDM, OSTBC, DMWT, Precoding.

Scope of the Article: Signal and Speech Processing