Performance analysis of curve-shaped NLFM against Doppler effect and background noise
| Autor: | Ratna Indrawijaya, Budiman P.A. Rohman, Chaeriah Bin Ali Wael, Tajul Miftahushudur |
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| Rok vydání: | 2016 |
| Předmět: |
business.industry
Acoustics 05 social sciences 050801 communication & media studies 02 engineering and technology law.invention Background noise symbols.namesake Noise 0508 media and communications Optics Signal-to-noise ratio law Pulse compression Physics::Space Physics 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Center frequency Radar business Doppler effect Frequency modulation Mathematics |
| Zdroj: | 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET). |
| DOI: | 10.1109/icramet.2016.7849581 |
| Popis: | Linear Frequency Modulation (LFM) is a pulse compression method which is largely implemented in the radar applications. The high peak sidelobe is its main problem instead of its superiority on the simplicity and Doppler tolerance characteristics. The curve-shaped Nonlinear Frequency Modulation (NLFM) has been developed for overcoming this lack and prior investigation showed that this method provide lower sidelobe suppression than LFM. For obtaining the overall performance to be compared with LFM method, this research will investigate the curve-shaped NLFM in the case of Doppler effects and high level background noise. The Doppler effects considered in this research consist of two including center frequency shift and time dilation. Then, the background noise investigated is Gaussian distributed noise with signal to noise ratio (SNR) levels in range 0dB to −20dB. According to the simulation results, in the Doppler shift case, the curve-shaped NLFM is more sensitive than LFM as other NLFM drawbacks. However, this method is better than LFM in the time dilation scenario. Then, this pulse compression also has better detectability than LFM in the certain case of high level background noise condition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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