Abstract
In this paper, we propose an actually novel and simple method for detection of transmitted symbols in MIMO channels. This method is based on the energy level of the received signals. At the receiver, we assume the knowledge of channel state information which can be estimated by different methods, e.g. by sending pilots. So, we can determine all possible levels of energy. This computation of energy levels is done only once for the quasi-static channels. Energy of the received signals is a criterion by which we can estimate the transmitted symbols. Detection of transmitted signal is made based on the nearest energy level and the points which lie on it. In other words, we have restricted our search space to a new smaller space with different levels of energy. Simulation results confirm approximately the same performance between the maximum-likelihood detector and the proposed approach especially in high signal-to-noise ratios with a remarkable reduction in the computational complexity.
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References
Dai, X., Sun, S., & Wang, Y. (2012). Reduced-complexity (Quasi-) maximum-likelihood detectors with no performance degradation for S-QAM modulated MIMO systems. Wireless Personal Communications, 66(4), 613–627.
Hui, B., Mohaisen, M., Han, D., Chang, K., Baek, Y., & Koo, B. (2012). MIMO detection techniques based on low complexity adaptive QR-decomposition with M-algorithm for 3GPP LTE systems. Wireless Personal Communications, 67(3), 505–523.
Soltani, M. D., Aghaeinia, H., & Alimadadi, M. (2012). A novel and low complex detection method for MIMO channels: A new perspective. In Telecommunications (IST), 2012 Sixth International Symposium on (pp. 134–138). IEEE.
Deng, J. H., & Ho, C. L. (2012). A simplified maximum likelihood detector with the aid of reduced-size searching set for MIMO systems. Wireless Personal Communications, 62(1), 167–181.
Kovacevic, S., & Labeau, F. (2007). Complexity reduction in SISO decoding of block codes. Wireless Personal Communications, 40(4), 557–568.
Pammer, V., Delignon, Y., Sawaya, W., & Boulinguez, D. (2003). A low complexity suboptimal MIMO receiver: The combined ZF-MLD algorithm. In Personal, indoor and mobile radio communications, 2003. PIMRC 2003. 14th IEEE Proceedings on (vol. 3, pp. 2271–2275). IEEE.
Ozbek, B., & Le Ruyet, D. (2005). Performance and complexity analysis of suboptimal MIMO detectors. In Vehicular technology conference, 2005. VTC 2005-Spring. 2005 IEEE 61st (vol. 2, pp. 929–933). IEEE.
Hekrdla, M. (2009). A constellation space dimensionality reduced sub-optimal receiver for orthogonal STBC CPM modulation in a MIMO channel. Journal of Advanced Engineering, Acta Polytechnica, 49, 2–3.
Xu, W., & Hassibi, B. (2007). On the complexity of exact maximum-likelihood decoding for asymptotically good low density parity check codes: A new perspective. In Information theory workshop, 2007. ITW’07. IEEE (pp. 150–155). IEEE.
Lim, S., Kwon, T., Lee, J., & Hong, D. (2010). A new grouping-ML detector with low complexity for SC-FDMA systems. In Communications (ICC), 2010 IEEE international conference on (pp. 1–5). IEEE.
Goldsmith, A. (2005). Wireless communications. Cambridge: Cambridge University Press.
Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communications. IEEE Journal Selected Areas in Communications, 16, 1451–1458.
Belfiore, J. C., Rekaya, G., & Viterbo, E. (2004). The golden code: a 2 \(\times \) 2 fullrate space-time code with non-vanishing determinants. In Proceedings of the IEEE international symposium on information theory (p. 308).
Sezginer, S., Sari, H., & Biglieri, E. (2009). On high-rate full-diversity 2 \(\times \) 2 space-time codes with low-complexity optimum detection. IEEE Transactions on Communications, 57(5), 1532–1541.
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Soltani, M.D., Aghaeinia, H. & Alimadadi, M. A Low Complexity Suboptimal Energy-Based Detection Method for SISO/MIMO Channels. Wireless Pers Commun 77, 2857–2869 (2014). https://doi.org/10.1007/s11277-014-1672-8
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DOI: https://doi.org/10.1007/s11277-014-1672-8