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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.

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.