Abstract
In frequency selective fading channel, the STBC-OFDM system achieves optimal performance. Unfortunately, the STBC-OFDM system performance is degraded due to co-channel interference (CCI) in time selective fading channel. To suppress CCI effects various signal detection techniques are investigated including diagonalized zero forcing detection (DZFD), successive interference cancellation (SIC), decision feedback detection (DFD), List-SIC, and maximum likelihood (ML) methods. Although ML detection technique achieves optimal performance, it results into very high computational complexity. In this paper, the STBC-OFDM systems performance is analyzed under the influence of time selective channels. In particular, we proposed a suboptimal ordered iterative decision feedback (OIDF) detection technique based on dual combining scheme of DZFD and SIC with iterations. Finally, the performance evaluation is carried out for proposed OIDF method and various standard conventional signal detection methods based on complexity and bit error rate (BER). The results show that BER performance of OIDF method nearly approaches to ML method with substantial reduction in complexity.
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References
Paulraj, A., Gore, D., Nabar, R., Bolcskei, H.: An overview of MIMO communications- a key to gigabit wireless. Proc. IEEE 92(2), 198–218 (2004)
Zhang, W., Xia, X.G., Letaief, K.B.: Space-time/frequency coding for MIMOOFDM in next generation broadband wireless systems. IEEE Wirel. Commun. 14(3), 32–43 (2007)
Alamouti, S.M.: A simple transmit diversity technique for wireless communications (1998)
Li, Q., et al.: MIMO techniques in WiMAX and LTE: a feature overview. IEEE Commun. Mag. 48(5), 86–92 (2010)
Pham, V.B.: Space-time block code design for LTE-advanced systems. Trans. Emerg. Telecommun. Technol. 26(5), 918–928 (2015)
Bejarano, O., Knightly, E.W., Park, M.: IEEE 802.11 AC: from channelization to multi-user MIMO. IEEE Commun. Mag. 51(10), 84–90 (2013)
Cisco: 802.11ac: The fifth generation of Wi-Fi technical white paper. Technical report, Cisco (2012)
Pham, Q.V., Nguyen, N.T., Huynh-The, T., Le, L.B., Lee, K., Hwang, W.J.: Intelligent radio signal processing: a survey. IEEE Access 9, 83818–83850 (2021)
Lee, K.F., Williams, D.B.: A space-time coded transmitter diversity technique for frequency selective fading channels. In: Proceeding of IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM, pp. 149–152 (2000)
Wee, J.W., Seo, J.W., Lee, K.T., Lee, Y.S., Jeon, W.G.: Successive interference cancellation for STBC-OFDM systems in a fast fading channel. In: Proceeding of IEEE 61st Vehicular Technology Conference, VTC-Spring, pp. 841–844 (2005)
Kanemaru, H., Ohtsuki, T.: Interference cancellation with diagonalized maximum likelihood decoder for space-time/space-frequency block coded OFDM. In: Proceedings of IEEE 59th Vehicular Technology Conference. VTC-Spring, pp. 525–529. IEEE (2004)
Suraweera, H.A., Armstrong, J.: Alamouti coded OFDM in Rayleigh fast fading channels-receiver performance analysis. In: TENCON 2005 IEEE Region 10, pp. 1–5. IEEE (2005)
Chiang, P.H., Lin, D.B., Li, H.J.: Performance of 2IMO differentially transmitdiversity block coded OFDM systems in doubly selective channels. In: Proceedings of IEEE Global Telecommunications Conference, GLOBECOM, pp. 3768–3773. IEEE (2005)
Lin, D.B., Chiang, P.H., Li, H.J.: Performance analysis of two-branch transmit diversity block-coded OFDM systems in time-varying multipath Rayleigh-fading channels. IEEE Trans. Veh. Technol. 54(1), 136–148 (2005)
Tso, C.Y., Wu, J.M., Ting, P.A.: Iterative interference cancellation for STBCOFDM systems in fast fading channels. In: Proceeding of IEEE Global Telecommunications Conference, GLOBECOM, pp. 1–5 (2009)
Li, C.M., Li, G.W., Liu, H.Y.: Performance comparison of the STBC-OFDM decoders in a fast fading channel. J. Mar. Sci. Technol. 20(5), 534–540 (2012)
Cortez, J., Palacio, R., Ramírez-Pacheco, J.C., Ruiz-Ibarra, E.: A very low complexity near ml detector based on QRD-M algorithm for STBC-VBLAST architecture. In: 2015 7th IEEE Latin-American Conference on Communications (LATINCOM), pp. 1–5. IEEE (2015)
Tu, H.H., Lee, C.W., Lai, I.W.: Low-complexity maximum likelihood (ML) decoder for space-time block coded spatial permutation modulation (STBC-SPM). In: 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pp. 1–2. IEEE (2019)
Zhao, G., Wang, J., Chen, W., Song, J.: A novel signal detection algorithm for underwater mimo-OFDM systems based on generalized MMSE. J. Sens. 2019, 1–10 (2019)
Mousavi, S.H., Pourrostam, J.: Low computational complexity methods for decoding of STBC in the uplink of a massive MIMO system. EURASIP J. Wirel. Commun. Netw. 2020(1), 1–17 (2020)
Akhondi, M., Alirezapouri, M.A.: A modified ZF algorithm for signal detection in an underwater MIMO STBC-OFDM acoustic communication system. Ann. Telecommun. 1–17 (2023)
Cho, Y.S., Kim, J., Yang, W.Y., Kang, C.G.: MIMO-OFDM Wireless Communications with MATLAB. Wiley, Hoboken (2010)
Zheng, Y.R., Xiao, C.: Simulation models with correct statistical properties for Rayleigh fading channels. IEEE Trans. Commun. 51(6), 920–928 (2003)
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Patra, J.P., Pradhan, B.B., Prasad, S.T., Singh, P. (2023). An Efficient Signal Detection Technique for STBC-OFDM in Fast Fading Channel. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z., Parikh, S., Amin, K. (eds) Computing Science, Communication and Security. COMS2 2023. Communications in Computer and Information Science, vol 1861. Springer, Cham. https://doi.org/10.1007/978-3-031-40564-8_1
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