Abstract
We propose a generalized parallel least mean square algorithm (GpLMS) to deal with partial observation scenarios. GpLMS takes advantage of a two stage parallel LMS architecture to enhance the convergence rate and updates weight vector based on observed entries to obtain a low computational complexity. We compare the results from our proposed algorithm with the state-of-the-arts in an adaptive beamforming context to illustrate its effectiveness.
Supported by the AID-DGA and ANR in France to whom the authors are grateful.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akkad, G., Mansour, A., ElHassan, B., Inaty, E.: A multi-stage parallel LMS structure and its stability analysis using transfer function approximation. In: 2020 28th European Signal Processing Conference (EUSIPCO), pp. 1851–1855 (2021). https://doi.org/10.23919/Eusipco47968.2020.9287604
Akkad, G., Mansour, A., ElHassan, B.A., Inaty, E., Ayoubi, R., Srar, J.A.: A pipelined reduced complexity two-stages parallel LMS structure for adaptive beamforming. IEEE Trans. Circ. Syst. I: Reg. Pap. 67(12), 5079–5091 (2020)
Haykin, S.S.: Adaptive Filter Theory. Pearson Education India (2008)
Kong, L., Xia, M., Liu, X.Y., Chen, G., Gu, Y., Wu, M.Y., Liu, X.: Data loss and reconstruction in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 25(11), 2818–2828 (2014)
Ma, H., King, I., Lyu, M.R.: Effective missing data prediction for collaborative filtering. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 39–46 (2007)
Slavakis, K., Giannakis, G.B., Mateos, G.: Modeling and optimization for big data analytics: (statistical) learning tools for our era of data deluge. IEEE Signal Process. Mag. 31(5), 18–31 (2014)
Srar, J.A., Chung, K.S.: Adaptive RLMS algorithm for antenna array beamforming. In: TENCON 2009—2009 IEEE Region 10 Conference, pp. 1–6 (2009). https://doi.org/10.1109/TENCON.2009.5396256
Srar, J.A., Chung, K.S., Mansour, A.: Adaptive array beamforming using a combined LMS-LMS algorithm. IEEE Trans. Antennas Propag. 58(11), 3545–3557 (2010). https://doi.org/10.1109/TAP.2010.2071361
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Akkad, G., Nguyen, VD., Mansour, A. (2022). GpLMS: Generalized Parallel Least Mean Square Algorithm for Partial Observations. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 309. Springer, Singapore. https://doi.org/10.1007/978-981-19-3444-5_38
Download citation
DOI: https://doi.org/10.1007/978-981-19-3444-5_38
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-3443-8
Online ISBN: 978-981-19-3444-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)