DocumentCode :
1968968
Title :
Radar signal bandwidth-scaling via parameters of a changed Lorenz chaotic system
Author :
Shaobin, Xie ; Lidong, Liu ; Jinfeng, Hu ; Anan, Wang ; Sheng, Xie
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2011
fDate :
16-18 Sept. 2011
Firstpage :
4874
Lastpage :
4877
Abstract :
This paper develops a changed Lorenz chaotic system (CLCS). We can scale the signal bandwidth exactly by scaling the parameters of the CLCS. The simulation results show that the new system also has nice radar characters such as its waveform has low peak-to-RMS ratio (PRMS), thumbtack shape ambiguity function, narrow main-lobe and low peak side-lobe autocorrelation function. When there is a strict requirement to the signal bandwidth, it doesn´t need to spend much time in finding out other suitable parameters but just scaling the known suitable parameters. This is an advantage comparing to the signal waveform generated by the original Lorenz chaotic system.
Keywords :
chaotic communication; radar signal processing; CLCS; PRMS; changed Lorenz chaotic system; low peak side-lobe autocorrelation function; narrow main-lobe autocorrelation function; peak-to-RMS ratio; radar signal bandwidth-scaling; thumbtack shape ambiguity function; Bandwidth; Chaotic communication; Correlation; Radar imaging; Shape; Lorenz map; Waveform design; ambiguity function; autocorrelation; peak-to-RMS ratio(PRMS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
Type :
conf
DOI :
10.1109/ICECENG.2011.6056831
Filename :
6056831
Link To Document :
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