-
Weak signal detection is a vital technology in underwater acoustic communication with strong noise background. In this area, non-autonomous Duffing system is still widely used, and a lot of researches focus on enhancing the ability to detect weak signal and to find out the detection limitation of the Duffing system. Moreover, great achievements have already made. But problems still exist such as non-convergence of the periodic state of the Duffing system and its narrow detection domain. Unfortunately, researches on weak signal detection by using other systems are still rare. In order to solve the above problems, a new three-dimensional similar Liu chaotic system for weak signal detection is proposed. A thorough theoretical analysis for the similar Liu chaotic system is given, and its equilibrium point and the Lyapunov index are deduced and analyzed in detail. The major conclusion is that the variable x of the new system becomes a deformation signal when the input signal amplitude is greater than a certain critical value, the variables y and z converge to zero, and the Lyapunov exponents are less than zero at the same time. This means that no matter how strong the input signal is, the detection can be achieved by using a similar Liu chaotic system as long as its amplitude exceeds the threshold value. The periodic convergence and wide area detection of the similar Liu chaotic system are proved by the Matlab simulation, the Multisim circuit simulation, and the actual circuit test. This new system solves the two problems of the period convergence and narrow detection domain for the traditional Duffing system. The periodic state and chaotic state are easy to distinguish when detected. The periodic state can be maintained when the signal amplitude changes from short distance to long distance in a new system. The spectral signal-to-noise ratio range increases up to -46:57 dB in the similar Liu chaotic system. The characteristics of the new system are only effected by its structure and parameters. The system does not rely on the external factors, and it can be extended. By using some switching devices, the conversion between the chaotic state and periodic state can be realized in the practical engineering applications with a higher detection accuracy. The new design concept of the similar Liu chaotic system shows a very high practical value. It will lay a certain foundation for the underwater acoustic communication of the ocean internet of things in the future.
-
Keywords:
- similar Liu system /
- Duffing system /
- chaotic circuit /
- weak signal detection
[1] Chitre M, Shahabudeen S, Stojanovic M 2008 Marine Technol. Sci. J. 42 103
[2] Birx D L, Pipenberg S J 1992 Int. Joint Conf. Neural Networks 2 881
[3] Wang G Y, Chen D J, Lin J Y, Chen X 1999IEEE Trans. Ind. Electron. 46 440
[4] Nie C Y, Shi Y W, Liu Z Z 2002 Trans. China Electrotech. Soc. 17 87 (in Chinese) [聂春燕, 石要武, 刘振泽 2002 电工技术学报 17 87]
[5] Shang Q F, Qiao H Z, Yin C Q 2005 Chin. J. Sci. Instrum. 26 1271 (in Chinese) [尚秋峰, 乔宏志, 尹成群 2005 仪器仪表学报 26 1271]
[6] Li Y, Yang B J, Yuan Y, Liu X H 2007 Chin. Phys. B 16 1072
[7] Rui G S, Zhang Y, Miao J, Zhang S, Shi T 2012 Acta Electron. Sin. 40 1269 (in Chinese) [芮国胜, 张洋, 苗俊, 张嵩, 史特 2012 电子学报 40 1269]
[8] Liu H B, Wu D W, Jin W, Wang Y Q 2013 Acta Phys. Sin. 62 050501 (in Chinese) [刘海波, 吴德伟, 金伟, 王永庆 2013 物理学报 62 050501]
[9] Hu W J, Liu Z Z, Li Z H 2011 Electric Machines and Control 15 80 (in Chinese) [胡文静, 刘志珍, 厉志辉 2011 电机与控制学报 15 80]
[10] Zeng Z Z, Zhou Y, Hu K 2015 Acta Phys. Sin. 64 070505 (in Chinese) [曾喆昭, 周勇, 胡凯 2015 物理学报 64 070505]
[11] Choe C U, Hohne K, Benner H, Kivshar Y S 2005 Phys. Rev. E 72 036206
[12] Wang M J, Zeng Y C, Xie C Q, Zhu G F, Tang S H 2012 Acta Phys. Sin. 61 180502 (in Chinese) [王梦蛟, 曾以成, 谢常清, 朱高峰, 唐淑红 2012 物理学报 61 180502]
[13] Xu Y C, Yang C L, Qu X D 2010 Chin. Phys. B 19 030516
[14] Zhou F, Shen M N 2014 Machinery 41 5 (in Chinese) [周芳, 沈媚娜 2014 机械 41 5]
[15] Liu C X 2006 Far East J. Dyn. Sys. 8 51
[16] Mcdonald E J, Higham D J 2001 Electron. Trans. Numer. Anal. 12 234
-
[1] Chitre M, Shahabudeen S, Stojanovic M 2008 Marine Technol. Sci. J. 42 103
[2] Birx D L, Pipenberg S J 1992 Int. Joint Conf. Neural Networks 2 881
[3] Wang G Y, Chen D J, Lin J Y, Chen X 1999IEEE Trans. Ind. Electron. 46 440
[4] Nie C Y, Shi Y W, Liu Z Z 2002 Trans. China Electrotech. Soc. 17 87 (in Chinese) [聂春燕, 石要武, 刘振泽 2002 电工技术学报 17 87]
[5] Shang Q F, Qiao H Z, Yin C Q 2005 Chin. J. Sci. Instrum. 26 1271 (in Chinese) [尚秋峰, 乔宏志, 尹成群 2005 仪器仪表学报 26 1271]
[6] Li Y, Yang B J, Yuan Y, Liu X H 2007 Chin. Phys. B 16 1072
[7] Rui G S, Zhang Y, Miao J, Zhang S, Shi T 2012 Acta Electron. Sin. 40 1269 (in Chinese) [芮国胜, 张洋, 苗俊, 张嵩, 史特 2012 电子学报 40 1269]
[8] Liu H B, Wu D W, Jin W, Wang Y Q 2013 Acta Phys. Sin. 62 050501 (in Chinese) [刘海波, 吴德伟, 金伟, 王永庆 2013 物理学报 62 050501]
[9] Hu W J, Liu Z Z, Li Z H 2011 Electric Machines and Control 15 80 (in Chinese) [胡文静, 刘志珍, 厉志辉 2011 电机与控制学报 15 80]
[10] Zeng Z Z, Zhou Y, Hu K 2015 Acta Phys. Sin. 64 070505 (in Chinese) [曾喆昭, 周勇, 胡凯 2015 物理学报 64 070505]
[11] Choe C U, Hohne K, Benner H, Kivshar Y S 2005 Phys. Rev. E 72 036206
[12] Wang M J, Zeng Y C, Xie C Q, Zhu G F, Tang S H 2012 Acta Phys. Sin. 61 180502 (in Chinese) [王梦蛟, 曾以成, 谢常清, 朱高峰, 唐淑红 2012 物理学报 61 180502]
[13] Xu Y C, Yang C L, Qu X D 2010 Chin. Phys. B 19 030516
[14] Zhou F, Shen M N 2014 Machinery 41 5 (in Chinese) [周芳, 沈媚娜 2014 机械 41 5]
[15] Liu C X 2006 Far East J. Dyn. Sys. 8 51
[16] Mcdonald E J, Higham D J 2001 Electron. Trans. Numer. Anal. 12 234
Catalog
Metrics
- Abstract views: 5669
- PDF Downloads: 320
- Cited By: 0
下载:
