DocumentCode
168885
Title
Improving holographic radar imaging resolution via deconvolution
Author
Xiaoji Song ; Yi Su ; Yutao Zhu ; Chunlin Huang ; Min Lu
Author_Institution
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear
2014
fDate
June 30 2014-July 4 2014
Firstpage
633
Lastpage
636
Abstract
Holographic radar usually adopts antenna with wide beam pattern to form a big synthetic aperture and to obtain high spatial resolution. However, previous works have indicated that the antenna pattern is essentially a low-pass filter in wavenumber domain and it reduces the practical resolution. To eliminate the influence of the antenna pattern and improve the practical resolution, this paper presents a deconvolution method implemented in two-dimension wavenumber domain. The proposed method acquires parameters by scaling and shifting the target echo to design a Wiener filter. With this Wiener filter, the received signal is deconvolved to restore the wavenumber spectrum. Some numerical simulations and laboratory experiments were conducted. The imaging results of the deconvolved data show that the resolution improved by 50%.
Keywords
Wiener filters; antenna radiation patterns; deconvolution; holographic optical elements; radar imaging; radar resolution; Wiener filter; antenna pattern; deconvolution method; holographic radar imaging resolution; low-pass filter; synthetic aperture; target echo; two-dimension wavenumber domain; wide beam pattern antenna; Computers; Electromagnetics; Hafnium; Image resolution; Radar imaging; Radiometry; Holographic radar; antenna pattern; deconvolution; imaging resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Ground Penetrating Radar (GPR), 2014 15th International Conference on
Conference_Location
Brussels
Type
conf
DOI
10.1109/ICGPR.2014.6970502
Filename
6970502
Link To Document