TY - GEN
T1 - A novel algorithm for synthetic aperture radar imaging based on compressed sensing
AU - Bu, Hongxia
AU - Bai, Xia
AU - Tao, Ran
PY - 2010
Y1 - 2010
N2 - To achieve high-resolution images, synthetic aperture radar (SAR) faces considerable technical challenges such as huge amount of data samples and high hardware complexity. Compressed sensing (CS) theory shows that the super-resolved images can be reconstructed from an extremely smaller set of measurements than what is generally considered necessary by Nyquist/Shannon theorem. In this paper, a new algorithm of SAR imaging based on the concept of CS is presented, in which a random fractional Fourier transform (FRFT) matrix is used as the sensing matrix. By utilizing the FRFT matrix the demodulator for de-ramping the linear frequency modulation signal can be eliminated. Simulation results with both simulated and real data exhibit the validity of the proposed algorithm.
AB - To achieve high-resolution images, synthetic aperture radar (SAR) faces considerable technical challenges such as huge amount of data samples and high hardware complexity. Compressed sensing (CS) theory shows that the super-resolved images can be reconstructed from an extremely smaller set of measurements than what is generally considered necessary by Nyquist/Shannon theorem. In this paper, a new algorithm of SAR imaging based on the concept of CS is presented, in which a random fractional Fourier transform (FRFT) matrix is used as the sensing matrix. By utilizing the FRFT matrix the demodulator for de-ramping the linear frequency modulation signal can be eliminated. Simulation results with both simulated and real data exhibit the validity of the proposed algorithm.
KW - Compressed sensing
KW - Fractional Fourier transform
KW - Synthetic aperture radar
UR - http://www.scopus.com/inward/record.url?scp=78651094439&partnerID=8YFLogxK
U2 - 10.1109/ICOSP.2010.5656093
DO - 10.1109/ICOSP.2010.5656093
M3 - Conference contribution
AN - SCOPUS:78651094439
SN - 9781424458981
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 2210
EP - 2213
BT - ICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
T2 - 2010 IEEE 10th International Conference on Signal Processing, ICSP2010
Y2 - 24 October 2010 through 28 October 2010
ER -