Development of an Energy Detection Algorithm for Signal Identification in a Security System
Abstract
The performance of the energy detector is heavily dependent on the estimate of the noise floor, as an inaccurate estimate will degrade the performance of the detector. The overall aim of this paper is the development of an energy detection algorithm for an estimated noise power in a security system to identify a signal. Before the design of the energy detector, a spectrum sweep was conducted in MATLAB environment to observe the available channels in order to test the accuracy of the design. The noise power is estimated based on the observation of the received signal in the noise. The designed energy detection algorithm in a MATLAB, when noise power is estimated, was able to filter the noise in the signal by approximation at -40.53dB.
Downloads
References
B. S. Byun, K. Kansanen, and J. M. Gil, “Achieving fair spectrum allocation and reduced spectrum handoff in wireless sensor networks: Modelling via biobjective optimisation,” International Conference on Decision and Game Theory for Security (GameSec), vol. 4, pp. 325-334, 2017.
A. Mariani, A. Giorgetti, and M. Chiani, “Effects of noise power estimation on energy detection for cognitive radio applications,” IEEE Transactions on Communications, vol. 59, no. 12, pp. 3410–3420, 2011.
K. Kim, I. A. Akbar, K. K. Bae, J. S. Um, C. M. Spooner, and J. H. Reed, “Cyclostationary approaches to signal detection and classification in cognitive radio,” 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 212–215, 2007.
A. Tkachenko, D. Cabric, and R. W. Brodersen, “Cyclostationary feature detector experiments using reconfigurable BEE2,” in 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 216–219, 2007.
S. Enserink, and D. Cochran, “A cyclostationary feature detector,” in Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers, vol. 2, pp. 806–810, 1994.
A. Mariani, A. Giorgetti, and M. Chiani, “Energy detector design for cognitive radio applications,” in Proc. 2010 IEEE Int. Waveform Diversity & Design Conf., pp. 53–57, 2010
H. Urkowitz, “Energy detection of unknown deterministic signals,” Proceedings of the IEEE, vol. 55, no. 4, pp. 523–531, 1967.
A. Sonnenschein, and P. M. Fishman, “Radiometric detection of spread spectrum signals in noise of uncertain power,” IEEE Transaction on Aerospace and Electronic Systems, vol. 28, no. 3, pp. 654–660, 1992.
R. Tandra and A. Sahai, “SNR walls for signal detection,” IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 1, pp. 4–17, 2008.
R. Tandra and A. Sahai, “Fundamental limits on detection in low SNR under noise uncertainty,” in Proc. 2005 IEEE International Conference on Wireless Network, Communications & Mobile Computing, pp. 464–469, 2005.
Copyright (c) 2019 F. N. Nwukor, M. S. Okundamiya
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.