OFDM Radar for Detecting a Rayleigh Fluctuating Target in Gaussian Noise
Subject Areas : Communication Engineering
1 - Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran
Keywords: Constant false alarm rate (CFAR), match filter (MF), fast Fourier transform (FFT), OFDM radars, Rayleigh fluctuating target,
Abstract :
we develop methods for detecting a target for continuous wave orthogonal frequency division multiplexing (OFDM) based radars. As a preliminary step we introduce the target and Gaussian noise models in discrete time form. Then resorting to match filter (MF) we derive a detector for two different scenarios (a non- fluctuating target and a Rayleigh fluctuating target). It will be shown that a MF is not suitable for Rayleigh fluctuating targets. In this paper we propose a reduced complexity method based on fast Fourier transform (FFT) for such a situation. The proposed method has better detection performance. The effectiveness of the proposed approach is demonstrated both by providing theoretical performance prediction expressions and by using simulated analyses.
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