On the use of joint time‐frequency representations in SAR signal processing
- 1 November 1991
- journal article
- Published by Wiley in European Transactions on Telecommunications
- Vol. 2 (6) , 665-674
- https://doi.org/10.1002/ett.4460020610
Abstract
The aim of this paper is to show that some of the open problems in Synthetic Aperture Radar signal processing can be seen in a new and advantageous perspective if the received signals are represented in the time‐frequency domain. The joint time‐frequency representation makes easier the extraction of the information necessary for the formation of the synthetic aperture, responsible for the high cross‐range resolution. The proposed approach is applied to the imaging of moving objects and to the focusing of extended scenes, in presence of instabilities of the radar platform such that the conventional estimation techniques become insufficient. In particular, the time‐frequency analysis allows the estimation of the useful signal parameters even in case of undersampling. This allows the use of relatively low Pulse Repetition Frequencies(PRF), avoiding then the shortcomings due to highPRFs, like the reduction of the sizes of the monitorable areas or the data rate increase.Keywords
This publication has 10 references indexed in Scilit:
- Instantaneous bandwidth for signals and spectrogramPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A novel procedure for detecting and focusing moving objects with SAR based on the Wigner-Ville distributionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Parameter estimation of undersampled signals by Wigner-Ville analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- New autofocusing technique for SAR images based on the Wigner-Ville distributionElectronics Letters, 1990
- Moving target imaging algorithm for SAR dataIEEE Transactions on Aerospace and Electronic Systems, 1990
- A methodology for detection and classification of some underwater acoustic signals using time-frequency analysis techniquesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Time-frequency distributions-a reviewProceedings of the IEEE, 1989
- A time-frequency formulation of optimum detectionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Performance Of Wigner Distribution Function Based Detection MethodsOptical Engineering, 1984
- Motion Compensation for Synthetic Aperture RadarIEEE Transactions on Aerospace and Electronic Systems, 1975