The impact of internal clutter motion on a sample matrix inversion space-time adaptive processing algorithm and the GMTI minimum detectable velocity

Czernik, Richard J.; Santapietro, John J.

doi:10.1109/wdd.2010.5592406

Cited by 1 publication

(1 citation statement)

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“…A method that compensate the phase difference of two images by using a prior knowledge of terrain elevation, for example, an accurate digital elevation model (DEM), was proposed in [3]. Moreover, the method for reducing minimum detectable velocity by using hybrid baseline is proposed in [4]. However, the methods above pay little attention to the problem clutter cancellation without prior knowledge and velocity estimation inaccuracy caused by long cross-track baseline.…”

Section: Introductionmentioning

confidence: 99%

Ground Moving Target Indication and Velocity Estimation Using an InSAR System

Zhang¹,

Zhang²,

Ma³

2012

JDCTA

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For InSAR systems with both along track baseline and cross track baseline, referred to as the hybrid baseline for simplicity, can be used to perform GMTI and DEM generation simultaneously. However, the cross-track baseline of such system is sensitive to the terrain fluctuation which badly affects the performance of clutter suppression. To solve the problem above, a GMTI method which takes advantage of the coherence information of neighboring pixel pairs of SAR images is presented in this paper. After neighboring pixel pairs are jointly used to compensate the terrain interferometric phase, an adaptive filtering method is used to suppress the stationary clutter with the benefit of calibrating the sensor responses. In addition, the accuracy of velocity estimation is improved due to the improvement of clutter suppression. Stimulation experiments illustrate the effectiveness of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%