A Study on the Formulation of High Resolution Range Profile and ISAR Image Using Sparse Recovery Algorithm

Abstract In this paper, we introduce a sparse recovery algorithm applied to a radar signal model, based on the compressive sensing(CS), for the formulation of the radar signatures, such as high-resolution range profile(HRRP) and ISAR(Inverse Synthetic Aperture Radar) image. When there exits missing data in observed RCS data samples, we cannot obtain correct high-resolution radar signatures with the tra-ditional IDFT(Inverse Discrete Fourier Transform) method. However, high-resolution radar signatures using the sparse recovery algorithm can be successfully recovered in the presence of data missing and qualities of the recovered radar signatures are nearly comparable to those of radar signatures using a complete RCS data without missing data. Therefore, the results show that the sparse recovery al-gorithm rather than the DFT method can be suitably applied for the reconstruction of high-resolution radar signatures, although we co-llect incomplete RCS data due to unwanted interferences or jamming signals.Key words: Sparse Recovery Algorithm, BPDN, Radar Signal Model, ISAR Image, HRRP lmn@opqUr@Usmn,tK  /IR uA Revised January 2, 2014 ; Accepted January 28, 2014. (ID No. 20131125-116)Corresponding Author: Kyung-Tae Kim (e-mail: kkt@postech.ac.kr)