IEEE Transactions on Aerospace and Electronic Systems · 2014 · 45 citations · 14 references
EngineeringRadiologyBiomedical ImagingDiagnostic ImagingRemote SensingDigital Signal ProcessingHidden Markov ModelsMultipath MitigationMultipath PropagationRadar Signal ProcessingRadar SystemsHidden Markov Model TrainingMultipath SuppressionRadar Clutter MitigationRadar ImagingRadar Sensing With Ultra-widebandSynthetic Aperture RadarSynthetic Aperture Radar ImagingUltra-wideband Radar
When through-the-wall ultra-wideband (UWB) synthetic aperture radar (SAR) is applied to imaging, the interference of multipath spreading between targets will introduce ghosts into the SAR image. This paper proposes a hidden Markov model (HMM)-based method for suppressing ghosts in the SAR images. Simulations show that the method proposed can improve the peak value ratio of real targets to ghosts by about 15 dB.
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