Comb Type Pilot Based Channel Estimation using Dft Based Interpolation for Spatial Modulated OFDM Systems
Anetha Mary Soman1, R Nakkeeran2, Shinu Mathew John3
1Anetha Mary Soman, Research Scholar, Department of Electronics Engineering, School of Engineering and Technology, Pondicherry Central University, Pondicherry, India
2R Nakkeeran, Associate Professor, Department of Electronics Engineering, School of Engineering and Technology, Pondicherry Central University, Pondicherry, India.
3Shinu Mathew John, Professor, Department of Computer Science & Engineering, St. Thomas College of Engineering & Technology, Kannur (Kerala), India.

Manuscript received on June 23, 2021. | Revised Manuscript received on June 10, 2021. | Manuscript published on June 23, 2021. | PP: 403-410 | Volume-10 Issue-5, June 2021. | Retrieval Number: 100.1/ijeat.E28970610521 | DOI: 10.35940/ijeat.E2897.0610521
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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: An integration of Spatial Modulation with Orthogonal Frequency Division Multiplexing (SM OFDM) is a recently evolved transmission technique. In practical scenarios, channel estimation is significant for detecting transmitted data coherently. Impulse response based interpolation technique that provides channel frequency response estimate with reduction in noise error is proposed for comb type pilot based channel estimation of SM OFDM system along with 1D interpolation techniques under frequency selective channel. This scheme focus on carrying out smoothing and estimation in time domain and transforming output back to the frequency domain. BER performance is investigated for Rayleigh channel employing COST 207 project model on two test urban environments (Typical and Bad) for 4 and 16 QAM SM OFDM systems. Results show that the Least Square estimator with DFT interpolation performs finer compared to all one dimensional interpolation methods with less computational complexity by employing FFT algorithms. 
Keywords: Multiple Input Multiple output (MIMO), Multicarrier modulation, Spatial Modulation, Channel Estimation, Interpolation.