ON THE USE OF JOINT TIME-FREQUENCY REPRESENTATIONS IN SAR SIGNAL-PROCESSING

被引：3

作者：

BARBAROSSA, S

GREGORI, C

NICASTRO, G

机构：

[1] Dipartimento Info-Com, Università di Roma «La Sapienza, Roma, 00184

来源：

EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS | 1991年 / 2卷 / 06期

关键词：

D O I：

10.1002/ett.4460020610

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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 high PRFs, like the reduction of the sizes of the monitorable areas or the data rate increase.

引用

页码：665 / 674

页数：10

共 16 条

[1]

Cutrona I.J., Synthetic Aperture Ktulur, Rudur lUmdhonk, (1970)

[2]

Aushcrnian D.A., Et al., Developments in roilur imaging, 1:1:I Trans, on Aerospace and Electronic Systems., 4, pp. 363-400, (1984)

[3]

Li F.K., Held D., Curlander J.C., Wu C., Doppler parameter estimation for spaceborne Synthetic‐Aperture Hutlur, 1:1:.1 Trans, on Cieoscicncc and Rcinorc Sensing., 1-23 G, 1, (1985)

[4]

Cohen L., pp. 941-981, (1989)

[5]

Barbarossa S., pp. 3253-3256, (1991)

[6]

Barbarossa S.

[7]

Kumar B.V.K.V., Carroll C.W., Performance of wigner distribution based detection methods, Optical Enaineerini, 23, 6, pp. 732-738, (1984)

[8]

Kay S., Boudreaux-Bartels C.F., (1985)

[9]

Flandrin P., A Time‐frequencv formulation of optimum detection, IEEE Trans, on ASSP»., 36, 9, pp. 1377-1384, (1989)

[10]

Boashash B., O'Shea P., A methodology fro detection and classification of some underwater acoustics signals using time‐frequency analysis techniques, IEEE Trans, on Acoustics, Speech and Signal Processing, 38, 11, pp. 1829-1841

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