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Radar Signal Analysis and Design Using Frequency Modulation of Chaotic Signals

Radar Signal Analysis and Design Using Frequency Modulation of Chaotic Signals

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This chapter presented a theoretical analysis of CBFM signals as well as a sufficient condition for chaotic-based frequency modulated signals to be chaotic. The analysis has been based on Lyapunov exponents. The spectra of chaotic CBFM signals are flat, while the spectra of non-chaotic CBFM signals are non-flat. In radar applications, chaotic signals should not be treated simply as noise signals. This is because changing parameters responsible for producing chaotic signals affects the spectral characteristics of the FM modulated signals. In summary, the proper use of chaotic signals leads to less cost and higher range resolution than noise signals for the application of constant envelope signals in radar.

Inspec keywords: frequency modulation; Lyapunov methods; signal resolution; chaos; radar signal processing

Other keywords: spectral characteristics; chaotic CBFM signals; Lyapunov exponents; FM modulated signals; changing parameters; radar constant envelope signals; nonchaotic CBFM signals spectra; higher range signal resolution; chaotic-based frequency modulated signals; radar applications; radar signal analysis

Subjects: Signal processing and detection; Modulation and coding methods; Radar equipment, systems and applications

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