Title :
A chirp signal parameter estimation algorithm and its application to SAR imaging of moving targets
Author :
Liping Zhang ; Yingning Peng ; Jia Xu
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
This paper provides a novel method for estimating the parameters of linear frequency modulated (LMF) signals, or the so called chirp signals, based on a modification to the filter bank approach of the maximum likelihood estimation. This method reduces the computational complexity of the ML method. By using numerical simulations, the performance of the new approach is verified. Also we apply the algorithm to the raw data of an X-band airborne SAR with 3 m × 3 m resolution. Moving targets are successfully focused.
Keywords :
airborne radar; chirp modulation; computational complexity; frequency modulation; maximum likelihood estimation; radar imaging; synthetic aperture radar; SAR imaging; X-band; airborne SAR; chirp signals; filter bank approach; linear frequency modulated signals; maximum likelihood estimation; moving targets; parameter estimation algorithm; Chirp modulation; Computational complexity; Filter bank; Focusing; Frequency estimation; Frequency modulation; Maximum likelihood estimation; Numerical simulation; Parameter estimation; Radar polarimetry;
Conference_Titel :
Radar Conference, 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7803-7920-9
DOI :
10.1109/NRC.2003.1203406
