References
- Abu-Al-Saud, W. A., & Stuber, G. L. (2004). Efficient wideband channelizer for software radio systems using modulated PR filterbanks. IEEE Transactions on Signal Processing, 52(10), 2807–2820. https://doi.org/10.1109/TSP.2004.834242
- Ambede, A., Smitha, K. G., & Vinod, A. P. (2013). A low-complexity uniform and non-uniform digital filter bank based on an improved coefficient decimation method for multi-standard communication channelizers. Circuits, Systems, and Signal Processing, 32(6), 2543–2557. https://doi.org/10.1007/s00034-012-9532-9
- Amini, M. R., Mahdavi, M., & Omidi, M. J. (2017). Coexisting with the dynamic PU, the effect of PU‐returns on a secondary network. International Journal of Communication Systems, 30(15), e3316. https://doi.org/10.1002/dac.3316
- Amini, M. R., Mahdavi, M., & Omidi, M. J. (2018). Maximizing dynamic access energy efficiency in multiuser CRNs with primary user return. IEEE Systems Journal, 13(2), 1702–1713. https://doi.org/10.1109/JSYST.2018.2799902
- Amini, M., & Mirzavandi, A. (2015). Phase-type model spectrum sensing for cognitive radios. IETE Journal of Research, 61(5), 510–516. https://doi.org/10.1080/03772063.2015.1024177
- Aparna, P. S., & Jayasheela, M. (2012). Cyclostationary feature detection in cognitive radio using different modulation schemes. International Journal of Computer Applications, 47(21), 12–16. doi:10.5120/7472-0517
- Axell, E., Leus, G., Larsson, E. G., & Poor, H. V. (2012). Spectrum sensing for cognitive radio: State-of-the-art and recent advances. IEEE Signal Processing Magazine, 29(3), 101–116. https://doi.org/10.1109/MSP.2012.2183771
- Bellanger, M., Ihalainen, T., & Renfors, M. (2009). Filter bank based cognitive radio physical layer. In Proceedings of ICT-mobile summit 2009, 10-12 June, 2009, Santander, Spain (p. 8).
- Choi, H. H., Jang, K., & Cheong, Y. (2008, May). Adaptive sensing threshold control based on transmission power in cognitive radio systems. In 2008 3rd international conference on cognitive radio oriented wireless networks and communications (CrownCom 2008) (pp. 1–6). IEEE.
- Darak, S. J., & Vinod, A. P. (2013). Design of low complexity variable digital filters and reconfigurable filter banks for multi-standard wireless communication receivers [Doctoral dissertation, PhD Thesis]. NTU Singapore.
- Dey, A. K., & Banerjee, A. (2009). On primary user detection using energy detection technique for cognitive radio (NCC 2009), 16–18.
- Farhang-Boroujeny, B. (2008). Filter bank spectrum sensing for cognitive radios. IEEE Transactions on Signal Processing, 56(5), 1801–1811. https://doi.org/10.1109/TSP.2007.911490
- Hassan, E. S. (2019). Adaptive threshold to guarantee both detection and false alarm probabilities in multi-taper based spectrum sensing. Journal of the Franklin Institute, 356(3), 1640–1657. https://doi.org/10.1016/j.jfranklin.2018.10.028
- Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220. https://doi.org/10.1109/JSAC.2004.839380
- Lim, Y. (1986). Frequency-response masking approach for the synthesis of sharp linear phase digital filters. IEEE Transactions on Circuits and Systems, 33(4), 357–364. https://doi.org/10.1109/TCS.1986.1085930
- Lin, M., & Vinod, A. P. (2012). A low complexity high resolution cooperative spectrum-sensing scheme for cognitive radios. Circuits, Systems, and Signal Processing, 31(3), 1127–1145. https://doi.org/10.1007/s00034-011-9375-9
- Liu, X., Evans, B. G., & Moessner, K. (2013). Comparison of reliability, delay and complexity for standalone cognitive radio spectrum sensing schemes. IET Communications, 7(9), 799–807. https://doi.org/10.1049/iet-com.2013.0037
- Mahmood, N. H., Yilmaz, F., Oien, G. E., & Alouini, M. S. (2013). On hybrid cooperation in underlay cognitive radio networks. IEEE Transactions on Wireless Communications, 12(9), 4422–4433. https://doi.org/10.1109/TWC.2013.081413.121516
- Malvar, H. S. (1992). Extended lapped transforms: Properties, applications, and fast algorithms. IEEE Transactions on Signal Processing, 40(11), 2703–2714. https://doi.org/10.1109/78.165657
- Parvathi, A. K., & Sakthivel, V. (2021). Low complexity reconfigurable modified FRM architecture with full spectral utilization for efficient channelizers. Engineering Science and Technology, an International Journal. https://doi.org/10.1016/j.jestch.2021.06.002
- Pauluzzi, D. R., & Beaulieu, N. C. (2000). A comparison of SNR estimation techniques for the AWGN channel. IEEE Transactions on Communications, 48(10), 1681–1691. https://doi.org/10.1109/26.871393
- Prema, S. C., Rani, D. S., & Dasgupta, K. S. (2017). Spectral detection with multistage granularity bands using filter bank techniques for CR applications. International Journal of Wireless and Mobile Computing, 12(1)(1), 62–67. https://doi.org/10.1504/IJWMC.2017.083048
- Raghu, I., & Elias, E. (2019). Low complexity spectrum sensing technique for cognitive radio using farrow structure digital filters. Engineering Science and Technology, an International Journal, 22(1), 131–142. https://doi.org/10.1016/j.jestch.2018.04.012
- Sakthivel, V., & Elias, E. (2018). Low complexity reconfigurable channelizers using non-uniform filter banks. Computers Electrical Engineering, 68 , 389–403. https://doi.org/10.1016/j.compeleceng.2018.04.015
- Sun, S., Ju, Y., & Yamao, Y. (2013). Overlay cognitive radio OFDM system for 4G cellular networks. IEEE Wireless Communications, 20(2), 68–73. https://doi.org/10.1109/MWC.2013.6507396
- Tandra, R., & Sahai, A. (2005, June). Fundamental limits on detection in low SNR under noise uncertainty. In 2005 international conference on wireless networks, communications and mobile computing (Vol.1, pp. 464–469). IEEE.
- Wang, N., Gao, Y., & Zhang, X. (2013). Adaptive spectrum sensing algorithm under different primary user utilizations. IEEE Communications Letters, 17(9), 1838–1841. https://doi.org/10.1109/LCOMM.2013.081313.131468
- Zeng, Y., & Liang, Y. C. (2009). Eigenvalue-based spectrum sensing algorithms for cognitive radio. IEEE Transactions on Communications, 57(6), 1784–1793. https://doi.org/10.1109/TCOMM.2009.06.070402
- Zhang, S., & Bao, Z. (2011, June). An adaptive spectrum sensing algorithm under noise uncertainty. In 2011 IEEE International Conference on Communications (ICC) (pp. 1–5). IEEE.
- Zhang, X., Chai, R., & Gao, F. (2014, December). Matched filter based spectrum sensing and power level detection for cognitive radio network. In 2014 IEEE global conference on signal and information processing (GlobalSIP) (pp. 1267–1270). IEEE.
- Zhao, N., Pu, F., Xu, X., & Chen, N. (2015). Cognitive wideband spectrum sensing using cosine-modulated filter banks. International Journal of Electronics, 102(11), 1890–1901. https://doi.org/10.1080/00207217.2015.1006688