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Pairwise Grouping of Joint Sparsity Models for Sensing Array Processing
Pairwise Grouping of Joint Sparsity Models for Sensing Array Processing
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机译:联合稀疏模型的成对分组用于传感阵列处理
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摘要
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.
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