文章基本信息

标题：Improved Compressive Sampling SFCW Radar by Equipartition of Energy Sampling
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作者：Andriyan Bayu Suksmono
期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2014
卷号：6
期号：3
DOI：10.15676/ijeei.2014.6.3.8
出版社：School of Electrical Engineering and Informatics
摘要：A Stepped-Frequency Continuous Wave (SFCW) radar performs imagingby transmitting a number of electromagnetic tones whose frequency is increasedstep-wisely to obtain an equivalent representation of a signal in frequency domain,then Fourier inversion is conducted to obtain a range profile. A CompressiveSampling (CS) SFCW radar reduces measurement time by randomly selecting asmall number of the tones, followed by CS reconstruction. This paper showsempirically, that the knowledge of typical magnitude spectrum of the radar’s signalcan be used to improve the CS-SFCW radar system in term of either betterreconstruction quality or less number of required samples. Instead of randomselection, the knowledge of the spectrum is used to select the best set offrequencies, by applying equipartition of energy sampling (EES) principle. Threesampling schemes, i.e., Frequency Equidistant Sampling (FES), Uniform RandomSampling (URS), and the proposed EES, are used to obtain the samples of bothsimulated and actual A-scan data and then identical CS reconstruction methods areapplied. Objective performance evaluation in term of PSNR (Peak Signal to NoiseRatio) shows that reconstructed result of URS outperforms the FES, while the EESoutperforms both of them.
关键词：Compressive sampling; CS-SFCW radar; Non- Uniform Sampling; Ultra;Wideband Radar