SAR imagery of moving targets: application of time-frequency distributions for estimating motion parameters

Alexander M. Haimovich; C. D. Peckham; Joseph G. Teti Jr.

doi:10.1117/12.177719

1 June 1994 SAR imagery of moving targets: application of time-frequency distributions for estimating motion parameters

Alexander M. Haimovich, C. D. Peckham, Joseph G. Teti Jr.

Proceedings Volume 2238, Hybrid Image and Signal Processing IV; (1994) https://doi.org/10.1117/12.177719
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

It is well known that targets moving along track within a Synthetic Aperture Radar (SAR) field of view are imaged as defocused objects. The SAR stripmap mode is tuned to stationary ground targets and the mismatch between the SAR processing parameters and the target motion parameters causes the energy to spill over to adjacent image pixels, thus not only hindering target feature extraction, but also reducing the probability of detection. The problem can be remedied by generating the image using a filter matched to the actual target motion parameters, effectively focusing the SAR image on the target. For a fixed rate of motion the target velocity can be estimated from the slope of the Doppler frequency characteristic. The processing is carried out on the range compressed data but before azimuth compression. The problem is similar to the classical problem of estimating the instantaneous frequency of a linear FM signal (chirp). This paper investigates the application of three different time-frequency analysis techniques to estimate the instantaneous Doppler frequency of range compressed SAR data. In particular, we compare the Wigner-Ville distribution, the Gabor expansion and the Short-Time Fourier transform with respect to their performance in noisy SAR data. Criteria are suggested to quantify the performance of each method in the joint time- frequency domain. It is shown that these methods exhibit sharp signal-to-noise threshold effects, i.e., a certain SNR below which the accuracy of the velocity estimation deteriorates rapidly. It is also shown that the methods differ with respect to their representation of the SAR data.

Citation Download Citation

Alexander M. Haimovich, C. D. Peckham, and Joseph G. Teti Jr. "SAR imagery of moving targets: application of time-frequency distributions for estimating motion parameters", Proc. SPIE 2238, Hybrid Image and Signal Processing IV, (1 June 1994); https://doi.org/10.1117/12.177719

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