Title :
Antinoise and ECCM performances of Multi-Segment chaos-based FM radar signals
Author :
Shaobin, Xie ; Zishu, He ; Lidong, Liu ; Sheng, Xie ; Anan, Wang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The aim of this paper present an analysis of a Multi-Segment chaos-based frequency modulated (MS CBFM) signals, to focus attention on antinoise and ECCM performances of MS-CBFM radar signals in a noise environment. Selected Logistic, Bernoulli, Tent and Multi-Segment as chaotic function generated CBFM signals. Lyapunov exponent, autocorrelation, power spectra and ambiguity function of selected CBFM signals were calculated, and antinoise performance of CBFM Signals were simulation in a noise environment. From the analysis and results of performance simulation presented in the thesis, it can be said that the use of MS CBFM radar signal, is not only feasible but also advantageous in the field of high-resolution radar imaging in a noise environment.
Keywords :
FM radar; radar imaging; CBFM signal; ECCM performances; Lyapunov exponent; MS-CBFM radar signal; ambiguity function of; antinoise; autocorrelation; chaotic function; high-resolution radar imaging; multisegment chaos-based FM radar signal; multisegment chaos-based frequency modulated signal; noise environment; power spectra; Chaos; Correlation; Electronic countermeasures; Frequency modulation; Noise; Radar imaging; Antinoise; Bernoulli map; Chaos-based FM Signals; Logistic map; Lyapunov exponent; Multi-Segment chaos maps; Tent map; ambiguity function; autocorrelation;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057439
