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Downward-Looking Linear Array 3D SAR Imaging Based on Multiple Measurement Vectors Model and Continuous Compressive Sensing
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نویسنده
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liu q.-y. ,zhang q. ,gu f.-f. ,chen y.-c. ,kang l. ,qu x.-y.
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منبع
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journal of sensors - 2017 - دوره : 2017 - شماره : 0
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چکیده
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This paper concerns the problems of huge data and off-grid effect of cross-track direction in downward-looking linear array (dlla) 3d sar imaging. since the 3d imaging needs a great deal of memory space,we consider the methods of downsampling to reduce the data quantity. in the azimuth direction,we proposed a method based on the multiple measurement vectors (mmv) model,which can enhance computational efficiency and elevate the performance of antinoise,to recover the signal. further,in cross-track direction,since the resolution is restricted by the length of array,as well as platform size,the influence of off-grid effect is more serious than azimuth direction. continuous compressive sensing (ccs),which can solve the off-grid effect of the classical compressive sensing (cs),is presented to obtain the precise imaging result under the noise scenarios. finally,we validate our method by extension numerical experiments. © 2017 qi-yong liu et al.
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آدرس
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information and navigation college,air force engineering university,xi'an,china,collaborative innovation center of information sensing and understanding,xi'an, China, information and navigation college,air force engineering university,xi'an,china,collaborative innovation center of information sensing and understanding,xi'an,china,key laboratory for information science of electromagnetic waves,fudan university,shanghai, China, china satellite maritime tracking and control department,jiangyin, China, information and navigation college,air force engineering university,xi'an,china,collaborative innovation center of information sensing and understanding,xi'an, China, information and navigation college,air force engineering university,xi'an,china,collaborative innovation center of information sensing and understanding,xi'an, China, information and navigation college,air force engineering university,xi'an, China
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Authors
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