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 :
بازگشت