201. Antinoise and ECCM performances of Multi-Segment chaos-based FM radar signals
- Author
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He Zishu, Liu Lidong, Xie Shaobin, Wang Anan, and Xie Sheng
- Subjects
Noise ,Ambiguity function ,law ,Computer science ,Radar imaging ,Autocorrelation ,Electronic engineering ,Radar ,Tent map ,Signal ,Frequency modulation ,law.invention - 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.
- Published
- 2011
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