Nonlinear FM waveform design to reduction of sidelobe level in autocorrelation function
Autor: | Hossein Babashah, Roohollah Ghavamirad, Mohammad Ali Sebt |
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Rok vydání: | 2017 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Information Theory Information Theory (cs.IT) Acoustics Autocorrelation 0211 other engineering and technologies FOS: Physical sciences Spectral density 020206 networking & telecommunications 02 engineering and technology Signal Chebyshev filter Window function Reduction (complexity) Physics - Data Analysis Statistics and Probability 0202 electrical engineering electronic engineering information engineering Waveform Frequency modulation Data Analysis Statistics and Probability (physics.data-an) Computer Science::Information Theory 021101 geological & geomatics engineering Mathematics |
Zdroj: | 2017 Iranian Conference on Electrical Engineering (ICEE). |
DOI: | 10.1109/iraniancee.2017.7985379 |
Popis: | This paper will design non-linear frequency modulation (NLFM) signal for Chebyshev, Kaiser, Taylor, and raised-cosine power spectral densities (PSDs). Then, the variation of peak sidelobe level with regard to mainlobe width for these four different window functions are analyzed. It has been demonstrated that reduction of sidelobe level in NLFM signal can lead to increase in mainlobe width of autocorrelation function. Furthermore, the results of power spectral density obtained from the simulation and the desired PSD are compared. Finally, error percentage between simulated PSD and desired PSD for different peak sidelobe level are illustrated. The stationary phase concept is the possible source for this error. |
Databáze: | OpenAIRE |
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