Thindlu Rudrappa, ManjunathManjunathThindlu RudrappaHoffmann, RudolfRudolfHoffmannAlbrecht, MarcusMarcusAlbrechtKnott, PeterPeterKnott2023-07-112023-07-112022https://publica.fraunhofer.de/handle/publica/44541410.23919/IRS54158.2022.99050272-s2.0-85140461524In this paper, 3D reconstruction of resident space objects (RSO) in orbit using a radar network with one transmitter and three receivers is studied. The interferometric phase for 3D reconstruction is extracted by the nonuniform fast Fourier transform (NUFFT) using sparse data at three receivers. The performance of the time frequency representation reconstructed from sparse data and the effect of data sparsity positions at three receivers in size, shape, rotation rate and Doppler estimation is illustrated.enFeature extractionInverse synthetic aperture radarRadar imagingRadar remote sensingRadar signal processing3D reconstruction of resident space objects using radar interferometry and nonuniform fast Fourier transform from sparse dataconference paper