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

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

4737

Lastpage

4740

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;

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.2011.6057439

Filename

6057439