i-manager Publications

Channel Estimation and It’s Techniques: A Survey

Damninder Singh*

IK Gujral Punjab Technical University, Kapurthala, Punjab, India.

Periodicity:July - December'2024
DOI : https://doi.org/10.26634/jwcn.13.1.20860

Abstract

In wireless mobile networks, the signal transmitted from the transmitter to the receiver is vulnerable to many performance-degrading factors, such as distortion, noise, fading, and nonlinear distortion, due to the physical nature of the channel. To address these factors, accurate prediction and estimation must be employed to achieve optimized performance in wireless mobile networks. Several channel estimation techniques have been developed. In this article, we provide a review of some of these techniques under various categories, highlighting their strengths and limitations in different operational environments.

Keywords

Channel Estimation, MMSE, LMMSE, Fading and Noise Compensation, Estimation Techniques, Signal Prediction, Survey on Channel Estimation.

How to Cite this Article?

Singh, D. (2024). Channel Estimation and It’s Techniques: A Survey. i-manager’s Journal on Wireless Communication Networks, 13(1), 42-52. https://doi.org/10.26634/jwcn.13.1.20860

References

[1]. Abdelkader, Y. M., & Jamal, E. A. (2012). Pilot design optimization using modified differential evolution algorithm in SISO and MIMO OFDM systems. Journal of Basic and Applied Scientific Research, 2(6), 6260-6267.

[2]. Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 16(8), 1451-1458.

[3]. Angelosante, D., Biglieri, E., & Lops, M. (2009). Sequential estimation of multipath MIMO-OFDM channels. IEEE Transactions on Signal Processing, 57(8), 3167-3181.

[4]. Anvesh, P., & Rani, V. S. (2013). Efficient SINR computation using LMMSE approach in MIMO-OFDM system. International Journal of Engineering Research and Application, 3 (1), 1820-1823.

[5]. Ashish, N., Srivatsan, K. A., Karthikeyan, N., Gutta, S., Raman, A. A., Ramanathan, R., & Pasupuleti, R. T. (2011, February). A novel channel estimation technique for MIMO-OFDM systems for frequency selective Rayleigh channel. In 2011 International Conference on Devices and Communications (ICDeCom) (pp. 1-5). IEEE.

[6]. Babu, A. S., & Rao, D. K. S. (2011). Evaluation of BER for AWGN, Rayleigh and Rician fading channels under various modulation schemes. International Journal of Computer Applications, 26(9), 23-28.

[7]. Barhumi, I., Leus, G., & Moonen, M. (2003). Optimal training design for MIMO OFDM systems in mobile wireless channels. IEEE Transactions on Signal Processing, 51(6), 1615-1624.

[8]. Bhoyar, D. B., & Niranjane, V. B. (2013). Channel estimation for MIMO-OFDM systems. International Journal of Engineering Research and Applications (IJERA), 2(1), 044-050.

[9]. Biguesh, M., & Gershman, A. B. (2004, June). MIMO channel estimation: Optimal training and tradeoffs between estimation techniques. In 2004 IEEE International Conference on Communications, 5, 2658-2662. IEEE.

[10]. Chen, B. S., Yang, C. Y., & Liao, W. J. (2012). Robust fast time-varying multipath fading channel estimation and equalization for MIMO-OFDM systems via a fuzzy method. IEEE Transactions on Vehicular Technology, 61(4), 1599-1609.

[11]. Chen, Y. S. (2009). Semiblind channel estimation for MIMO single carrier with frequency-domain equalization systems. IEEE Transactions on Vehicular Technology, 59(1), 53-62.

[12]. Choi, J., Bouchard, M., & Yeap, T. H. (2005, May). Adaptive filtering-based iterative channel estimation for MIMO wireless communications. In 2005 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 4951-4954). IEEE.

[13]. Coleri, S., Ergan, M., & Puri, A. (2002). A study of channel estimation techniques based on pilot arrangement in OFDM systems. Broadcasting, IEEE Transactions on, 48(3), 223-229.

[14]. Colieri, S., Ergen, M., Puri, A., & Bahai, A. (2002, September). A study of channel estimation in OFDM systems. In Proceedings IEEE 56th Vehicular Technology Conference, 2, 894-898. IEEE.

[15]. Dahiya, S., & Singh, A. K. (2018). Channel estimation and channel tracking for correlated block-fading channels in massive MIMO systems. Digital Communications and Networks, 4(2), 138-147.

[16]. Ganesh, R. S. (2016). A Novel Genetic Algorithm Based Hybrid Channel Estimation for 4g Mimo Ofdm Systems (Masters of Thesis, Noorul Islam Centre for Higher Education).

[17]. Guo, C., Li, J., & Zhang, H. (2017). On superimposed pilot for channel estimation in massive MIMO uplink. Physical Communication, 25, 483-491.

[18]. Hajjaj, M., Chainbi, W., & Bouallegue, R. (2015). Low-rank channel estimation for MIMO MB-OFDM UWB system over spatially correlated channel. IEEE Wireless Communications Letters, 5(1), 48-51.

[19]. He, S., Tugnait, J. K., & Meng, X. (2007). On superimposed training for MIMO channel estimation and symbol detection. IEEE Transactions on Signal Processing, 55(6), 3007-3021.

[20]. Ispas, A., Gong, X., Schneider, C., Ascheid, G., & Thoma, R. (2013). Dual-polarized Ricean MIMO channels: Modeling and per formance assessment. IEEE Transactions on Communications, 61(10), 4218-4231.

[21]. James, A. R., Benjamin, R. S., John, S., Joseph, T. M., Mathai, V., & Pillai, S. S. (2011, July). Channel estimation for OFDM systems. In 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (pp. 587-591). IEEE.

[22]. Jemmali, A., Conan, J., & Torabi, M. (2013, July). Bit error rate analysis of MIMO schemes in LTE systems. In The Ninth International Conference on Wireless and Mobile Communications (pp. 190-194).

[23]. Jiang, W., & Xiang, H. (2004). Multiuser detection algorithm based on belief propagation in multiple-input multiple-output systems. Science in China Series: Information Sciences, 47, 384-393.

[24]. Jo, J., & Sohn, I. (2015). On the optimality of training signals for MMSE channel estimation in MIMO-OFDM systems. EURASIP Journal on Wireless Communications and Networking, 2015, 1-9.

[25]. Kakadiya, A., Solanki, M. M., Hadia, K., & Rathod, M. (2013). Analysis of adaptive channel estimation techniques in MIMO OFDM system. International Journal of Advancement in Research & Technology, 2(4).

[26]. Katselis, D., Kofidis, E., & Theodoridis, S. (2008). On training optimization for estimation of correlated MIMO channels in the presence of multiuser interference. IEEE Transactions on Signal Processing, 56(10), 4892-4904.

[27]. Kaur, R., & Goyal, S. (2013). Bit error rate reduction in MIMO systems using equalization techniques. International Journal of Engineering Science and Innovative Technology, 2(3), 36-40.

[28]. Kewen, L. (2010, December). Research of MMSE and LS channel estimation in OFDM systems. In The 2nd International Conference on Information Science and Engineering (pp. 2308-2311). IEEE.

[29]. Khan, A. A., Bashir, S., Naeem, M., Shah, S. I., & Li, X. (2008). Symbol detection in spatial multiplexing system using particle swarm optimization meta heuristics. International Journal of Communication Systems, 21(12), 1239-1257.

[30]. Kho, Y. H., & Taylor, D. P. (2008). MIMO channel estimation and tracking based on polynomial prediction with application to equalization. IEEE Transactions on Vehicular Technology, 57(3), 1585-1595.

[31]. Kho, Y. H., & Taylor, D. P. (2008). MIMO receiver using reduced complexity sequence estimation with channel estimation and tracking. IEEE Transactions on Vehicular Technology, 58(2), 682-691.

[32]. Knievel, C., & Hoeher, P. A. (2012). On particle swarm optimization for MIMO channel estimation. Journal of Electrical and Computer Engineering, 2012(1), 614384.

[33]. Leus, G., & van der Veen, A. (2005, July). Optimal training for ML and LMMSE channel estimation in MIMO systems. In IEEE/SP 13th Workshop on Statistical Signal Processing, 2005 (pp. 1354-1357). IEEE.

[34]. Li, J., Lu, E., & Lu, I. T. (2013). Joint MMSE designs for analog network coding and different MIMO relaying schemes: A unified approach and performance benchmarks. Physical Communication, 6, 62-73.

[35]. Li, L., Zhu, G., Wang, D., & Cai, W. (2004, September). MIMO-OFDM channel estimation based on time-domain window filter. In IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004, 5, 3713-3717. IEEE.

[36]. Li, M., Zuo, W., & Liu, Z. (2007, November). Time-selective MIMO channel estimation based on implicit training. In 2007 International Symposium on Intelligent Signal Processing and Communication Systems (pp. 384-387). IEEE.

[37]. Li, Y. G., Winters, J. H., & Sollenberger, N. R. (2002). MIMO-OFDM for wireless communications: Signal detection with enhanced channel estimation. IEEE Transactions on Communications, 50(9), 1471-1477.

[38]. Lu, B., Wei, G., & Xiong, S. (2006, June). Blind estimation of frequency-selective MIMO channels by using delay diversity scheme. In 2006 International Conference on Communications, Circuits and Systems, 2, 943-947. IEEE.

[39]. Marzetta, T. L. (2010). Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Transactions on Wireless Communications, 9 (11), 3590-3600.

[40]. Monson, C. K., & Seppi, K. D. (2004, June). The Kalman swarm: A new approach to particle motion in swarm optimization. In Genetic and Evolutionary Computation Conference (pp. 140-150). Springer Berlin Heidelberg.

[41]. Negi, R., & Cioffi, J. (1998). Pilot tone selection for channel estimation in a mobile OFDM system. IEEE Transactions on Consumer Electronics, 44(3), 1122-1128.

[42]. Özbek, B., & Yılmaz, R. (2005). The adaptive channel estimation for STBC-OFDM systems. IU-Journal of Electrical & Electronics Engineering, 5(1), 1333-1340.

[43]. Ozdemir, M. K., Arslan, H., & Arvas, E. (2004, April). MIMO-OFDM channel estimation for correlated fading channels. In Proc. IEEE Wireless and Microwave Technology Conference, 1, 1-5.

[44]. Ozdemir, M. K., Arslan, H., & Arvas, E. (2006). Toward real-time adaptive low-rank LMMSE channel estimation of MIMO-OFDM systems. IEEE Transactions on Wireless Communications, 5(10), 2675-2678.

[45]. Pukkila, M. (2000). Channel Estimation Modeling. Nokia Research Center.

[46]. Rao, A. S., & Srinivas, S. (2014). A new BER and SNR calculations for MIMO System. International Journal of Inventive Engineering and Sciences (IJIES), 2(8), 1-4.

[47]. Rizogiannis, C., Kofidis, E., Papadias, C. B., & Theodoridis, S. (2010). Semi-blind maximum-likelihood joint channel/data estimation for correlated channels in multiuser MIMO networks. Signal Processing, 90(4), 1209-1224.

[48]. Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., Edfors, O., & Tufvesson, F. (2012). Scaling up MIMO: Opportunities and challenges with very large arrays. IEEE Signal Processing Magazine, 30(1), 40-60.

[49]. Savaux, V., Louët, Y., Djoko-Kouam, M., & Skrzypczak, A. (2013). Artificial channel aided LMMSE estimation for time–frequency selective channels in OFDM context. Signal Processing, 93(9), 2369-2380.

[50]. Sezgin, A., & Jorswieck, E. (2002, November). Joint decoding and channel estimation for low-complexity STC. In Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002, 1, 546-550. IEEE.

[51]. Shamna, A. R. (2021). Advanced Equalization Techniques for Channel Estimation in MIMO OFDM System (Masters of Thesis, Noorul Islam Centre for Higher Education).

[52]. Shi, Q., Karasawa, Y., & Wang, Y. (2010, September). Blind channel and frequency offset estimation for ofdm via frequency-domain oversampling. In 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM) (pp. 1-5). IEEE.

[53]. Shin, C., Heath, R. W., & Powers, E. J. (2007). Blind channel estimation for MIMO-OFDM systems. IEEE Transactions on Vehicular Technology, 56(2), 670-685.

[54]. Shin, C., Heath, R. W., & Powers, E. J. (2008). Non-redundant precoding-based blind and semi-blind channel estimation for MIMO block transmission with a cyclic prefix. IEEE Transactions on Signal Processing, 56(6), 2509-2523.

[55]. Singh, S. (2017). Channel Estimation Based on Swarm Intelligence for Mimo Ofdm Transmission (Masters of Thesis, Maharshi Dayanand University).

[56]. Stoica, P., & Besson, O. (2003). Training sequence design for frequency offset and frequency-selective channel estimation. IEEE Transactions on Communications, 51(11), 1910-1917.

[57]. Takano, Y., Juntti, M., & Matsumoto, T. (2015). Performance of an ℓ1 regularized subspace-based MIMO channel estimation with random sequences. IEEE Wireless Communications Letters, 5(1), 112-115.

[58]. Trivedi, S., Raeen, M. S., & Pawar, S. S. (2012). BER analysis of MIMO-OFDM system using BPSK modulation scheme. International Journal of Advanced Computer Research, 2(3), 208-214.

[59]. Tuan, H. D., Ha, H. K., Nguyen, H. H., & Luong, V. J. (2010). Optimized training sequences for spatially correlated MIMO-OFDM. IEEE Transactions on Wireless Communications, 9(9), 2768-2778.

[60]. Xu, W., Jiang, J., Wang, Y., Wang, J., & Zhou, Z. (2004, September). An efficient tree search algorithm for optimal detection of MIMO signals with channel estimation errors. In IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004, 2, 1503-1507. IEEE.

[61]. Yang, L., Zeng, Y., & Zhang, R. (2016, May). Efficient channel estimation for millimeter wave MIMO with limited RF chains. In 2016 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE.

[62]. Zhang, Z., Zhang, W., & Tellambura, C. (2008). MIMO-OFDM channel estimation in the presence of frequency offsets. IEEE Transactions on Wireless Communications, 7(6), 2329-2339.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.