Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract.  consider sparsity-driven joint localization of stationaryand moving targets inside enclosed structures using a reduced setof spatial-fast time-slow time observations in ultra-wideband (UWB)pulsed radar platforms.  exploit the compact temporal supportof the UWB signal to suppress the front wall clutter through time gat-ing. The resulting enhancement in the signal-to-clutter ratio enablesapplication of compressive sensing (CS) for scene reconstruction. establish an appropriate signal model that permits formulation oflinear modeling with sensing matrices so as to achieve efficient CS-based localization of stationary and moving targets in the downrange-crossrange-velocity space.  demonstrate the effectiveness of theproposed scheme using real data collected in a laboratory environ-ment. © 2013 SPIE and IS&T. [DOI: 10.1117/1.JEI.22.2.021002] 1 IntroductionWith recent advances in algorithm and component tech-nologies, there are increasing demands on radar imagingsystemstodeliverhigh-resolutionimagesinrangeandcross-range. This demand requires use of wideband signals andlarge array apertures, which in turn leads to the collectionand processing of large amounts of data along the spatial,temporal,andfrequencydimensions.This trendissettocon-tinue with the ever-present usage of radar sensors and widedeployment of radar sensor networks.The generation of massive amounts of data presents amajor challenge toward the objective of detecting and local-izing moving and stationary targets of interest, such ashumans and apons, inside enclosed structures in an effi-cient and reliable manner in through-the-wall radar imaging(TWRI)andurbansensingapplications.
['Jiang Qian', 'Fauzia Ahmad', 'Moeness G. Amin']
I am writing a research paper on a idea Joint localization of stationary and moving targets behind walls using sparse scene recovery
[{"from": "human", "value": "I am writing a research paper on a idea Joint localization of stationary and moving targets behind walls using sparse scene recovery"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract.  consider sparsity-driven joint localization of stationaryand moving targets inside enclosed structures using a reduced setof spatial-fast time-slow time observations in ultra-wideband (UWB)pulsed radar platforms.  exploit the compact temporal supportof the UWB signal to suppress the front wall clutter through time gat-ing. The resulting enhancement in the signal-to-clutter ratio enablesapplication of compressive sensing (CS) for scene reconstruction. establish an appropriate signal model that permits formulation oflinear modeling with sensing matrices so as to achieve efficient CS-based localization of stationary and moving targets in the downrange-crossrange-velocity space.  demonstrate the effectiveness of theproposed scheme using real data collected in a laboratory environ-ment. \u00a9 2013 SPIE and IS&T. [DOI: 10.1117/1.JEI.22.2.021002] 1 IntroductionWith recent advances in algorithm and component tech-nologies, there are increasing demands on radar imagingsystemstodeliverhigh-resolutionimagesinrangeandcross-range. This demand requires use of wideband signals andlarge array apertures, which in turn leads to the collectionand processing of large amounts of data along the spatial,temporal,andfrequencydimensions.This trendissettocon-tinue with the ever-present usage of radar sensors and widedeployment of radar sensor networks.The generation of massive amounts of data presents amajor challenge toward the objective of detecting and local-izing moving and stationary targets of interest, such ashumans and apons, inside enclosed structures in an effi-cient and reliable manner in through-the-wall radar imaging(TWRI)andurbansensingapplications."}]