Pairwise Grouping of Joint Sparsity Models for Sensing Array Processing
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorPetros T. Boufounos
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Abstract
A scene is reconstructed by transmitting pulses into a scene from an array of transmitters so that only one pulse is transmitted by one transmitter at any one time. The one pulse is reflection by the scene and received as a set of signals. Each signal is sampled and decomposed to produce frequency coefficients stacked in a set of linear systems modeling a reflectivity of the scene. Then, a reconstruction method is applied to the set of linear systems. The reconstruction method solves each linear system separately to obtain corresponding solutions, which are shared and combined to reconstruct the scene.
Claims15
A method for reconstructing a scene using an array of transmitters and receivers, comprising the steps of:
- transmitting pulses into the scene using the transmitters, wherein at any one time one pulse is transmitted by one transmitter;
- receiving the one pulse after reflection by reflectors at locations in the scene as a set of signals by a set of receivers, wherein the one transmitter and each receiver in the set of receivers form a sensing pair for an array instance;
- sampling and decomposing each signal in the set of signals to produce frequency coefficients stacked in a set of linear systems modeling a reflectivity of the scene, wherein there is one linear system for each sensing pair;
- and
- applying a reconstruction method to the set of linear systems, wherein the reconstruction method further comprises the steps of:
- solving each linear system separately to obtain a corresponding solution, while the corresponding solutions share information of a joint sparsity pattern of the scene during the solving;
- and
- combining the solutions to reconstruct the scene.
Dependencies are inferred from the claim text.