Norm-1 Regularized Consensus-Based ADMM for Imaging With a Compressive Antenna
Norm-1 Regularized Consensus-Based ADMM for Imaging With a Compressive Antenna
复制标题
DOI：
10.1109/lawp.2017.2718242
复制
发表时间：
2017-01-01
影响因子：
4.2
通讯作者：
Martinez-Lorenzo, Jose A.
中科院分区：
文献类型：
--
作者：
Heredia-Juesas, Juan;Molaei, Ali;Martinez-Lorenzo, Jose A.
这封信提出了一种新的范数-1正则化，共识为基础的成像算法，交替方向乘法器（ADMM）的基础上。该算法能够利用有限的数据量对金属目标进行成像。该算法的分布式能力使快速成像收敛。最近，压缩反射器天线（CRA）已被提出作为一种方式，以提供高的感测能力，以最小的成本和复杂性的硬件架构。应用于CRA的成像能力的ADMM算法在计算成本方面优于当前最先进的迭代重建算法（诸如基于Nesterov的方法），使得能够在准实时压缩感测成像应用中使用CRA。
This letter presents a novel norm-1-regularized, consensus-based imaging algorithm, based on the alternating direction method of multipliers (ADMM). This algorithm is capable of imaging metallic targets by using a limited amount of data. The distributed capabilities of the algorithm enable a fast imaging convergence. Recently, a compressive reflector antenna (CRA) has been proposed as a way to provide high sensing capacity with a minimum cost and complexity in the hardware architecture. The ADMM algorithm applied to the imaging capabilities of the CRA outperforms current state-of-the-art iterative reconstruction algorithms, such as Nesterov-based methods, in terms of computational cost, enabling the use of the CRA in quasi-real-time, compressive sensing imaging applications.