基于分?jǐn)?shù)階Fourier變換的機(jī)載SAR運動目標(biāo)檢測
The airborne sar moving target detection based on fractional fourier transform
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摘要: 該文首先建立了機(jī)載合成孔徑雷達(dá)(SAR)對運動目標(biāo)的回波信號模型,闡述了其本質(zhì)為線性調(diào)頻信號的特點。根據(jù)這種特點,提出了一種基于分?jǐn)?shù)階Fourier變換的機(jī)載SAR運動目標(biāo)檢測新方法,有效地消除了線性調(diào)頻信號的時頻耦合特性對信號檢測的影響。與雙線性時頻分布類算法相比,分?jǐn)?shù)階Fourier變換是線性變換,在多運動目標(biāo)存在的情況下,不會受到交叉項的影響。仿真結(jié)果驗證了算法的有效性。Abstract: In this paper, the signal model of airborne SAR moving target echo is constructed firstly, which is a chirp signal naturally. According to this feature, a new technique of SAR moving target detection based on fractional Fourier transform is proposed. The effects of coupling in time-frequency domain on signal detection are eliminated. Compare with the bilinear time-frequency distribution algorithms, the fractional Fourier transform is a linear operator, and it will not affected by the intercross terms when multiple moving targets exist. The simulation results validate the effectiveness of this technique.
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