抑制SAR圖像中靜止雜波背景檢測(cè)慢速動(dòng)目標(biāo)
Suppress the Fixed Background Clutter for Detecting Moving Target in a SAR Image
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摘要: 動(dòng)目標(biāo)的二次相位誤差是方位向速度和距離向加速度作用的結(jié)果,導(dǎo)致信號(hào)的調(diào)頻率改變.本文提出了一種抑制SAR圖像中靜止雜波背景檢測(cè)慢速動(dòng)目標(biāo)的方法,它搜索動(dòng)目標(biāo)二次相位誤差,匯聚動(dòng)目標(biāo)能量,同時(shí)利用包含正負(fù)對(duì)稱二次相位誤差的靜止背景復(fù)圖像模處處相等的規(guī)律,對(duì)消靜止雜波背景,從而提高了檢測(cè)動(dòng)目標(biāo)的性能.實(shí)測(cè)數(shù)據(jù)表明本算法有效.
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關(guān)鍵詞:
- 合成孔徑雷達(dá); 移動(dòng)目標(biāo)檢測(cè); 二次相位誤差
Abstract: A new and powerful method for detecting moving targets in a synthetic aperture radar（SAR） image is presented. Phase errors induced by many moving targets are largely quadratic, which provides a basis, by way of a change in the Doppler rate, for estimating the combined effects of azimuth constant velocity and radial acceleration. In this paper, the data in the SAR image is corrected by subtracting the quadratic phase error, and inverse changed by adding the same quadratic phase for comparing, both results are transformed to time domain, where the fixed background clutter have same image intensity. The absolute value of subtracting the two signal expected to have superior moving target detection performance. The experiment result prove this method is valid. -
張賢達(dá),保錚.非平穩(wěn)信號(hào)分析與處理[M].北京:國(guó)防工業(yè)出版社,1998:84-107.[2]R P Perry, R C Dipietro,R L Fante. SAR imaging of moving targets[J].IEEE Trans. on Aerospace and Electronic Systems.1999, 35(1):188-[3]Jos M B D, Paulo C M. Multiple moving target detection and trajectory estimation using a single SAR sensor[J].IEEE Trans.on Aerospace and Electronic Systems.2003, 39(2):604-[4]Fienup J R. Detecting moving targets in SAR imagery by focusing[J].IEEE Trans. on Aerospace and Electronic Systems.2001, 37(3):794-[5]Ikram M Z, Abed-Metaim K, Hua Y. Fast discrete quadratic phase transform for estimating the parameters of chirp signals[A][J].IEEE Conference Record of the Thirtieth Asilomar Conference on Signals, Systems and Computers.1997, Vol. 1:798- -
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