DocumentCode :
461580
Title :
A New Algorithm for Sparse Aperture Extrapolation
Author :
Wang, Qi ; Li, Yachao ; Mengdao Xing
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an
Volume :
1
fYear :
2006
fDate :
16-20 2006
Abstract :
An algorithm for estimating full aperture with sparse data is proposed in this paper. For wide vacant aperture in sparse data, by measuring sparse data actually, accurate sparse data frequency domain energy distribution estimate can be obtained with parametric approaches. With estimated power spectrum as prior information, minimum weighted norm as the restraint, underdetermined equations are solved to interpolate vacant aperture, thus wide aperture data segment estimate is obtained. This algorithm can be effectively applied to ISAR imaging in sparse data. Resulting simulation and actual data processing results confirm validity of the proposed algorithm
Keywords :
extrapolation; interpolation; radar imaging; synthetic aperture radar; aperture data segment estimate; energy distribution estimation; full aperture estimation; parametric approaches; power spectrum estimation; sparse aperture extrapolation; sparse data frequency domain; Apertures; Extrapolation; Filling; Frequency domain analysis; Frequency estimation; Image resolution; Radar imaging; Signal processing algorithms; Signal resolution; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.344484
Filename :
4128820
Link To Document :
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