{"refrec":{"BRefID":332961,"RR":"<b>Varslot, T.; Morales Barcenas, J.H.; Cheney, M.</b> (2011). Waveform design for synthetic-aperture radar imaging through dispersive media. <i>SIAM J. Appl. Math. 71(5)</i>: 1780-1800. <a href=\"https://dx.doi.org/10.1137/100802438\" target=\"_blank\">https://dx.doi.org/10.1137/100802438</a>","BEntID":326573,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>SIAM J. Appl. Math. 71(5)</i>: 1780-1800. <a href=\"https://dx.doi.org/10.1137/100802438\" target=\"_blank\">https://dx.doi.org/10.1137/100802438</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Varslot, T.; Morales Barcenas, J.H.; Cheney, M.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Varslot, T.; Morales Barcenas, J.H.; Cheney, M.","Englishabstract":"In this paper we analyze the problem of optimal waveform design for synthetic-aperture radar (SAR) imaging through a dispersive medium. We use a scalar model for wave propagation, together with the single-scattering approximation, and we assume that measurements are polluted with thermal noise whose statistics are known. For image formation, we use a filtered backprojection algorithm in which the filter is determined by knowledge of the power-spectral densities of the scene and noise. In this framework, we derive a waveform which is optimal in the sense of minimizing the mean-square-error of the reconstructed image. We show the results of simulations for the example of imaging point scatterers embedded in a certain dispersive background. 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