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Two-Dimensional Multiple-Snapshot Grid-Free Compressive Beamforming Using Alternating Direction Method of Multipliers

机译:使用乘法器的交替方向方法无二维多快照网格压缩波束形成

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Compressive beamforming with planar microphone arrays is capable of estimating the two-dimensional direction-of-arrivals (DOAs) and quantifying the strengths of acoustic sources effectively. The multiple-snapshot grid-free method has recently been concerned due to the advantages that it can circumvent the basis mismatch conundrum of the conventional grid-based method and improve the performance of the single-snapshot grid-free method. The existing atomic norm minimization based strategy uses an off-the-peg interior point method (IPM) based solver to solve the positive semidefinite programming equivalent to the atomic norm minimization. We present an alternative algorithm based on alternating direction method of multipliers (ADMM) in this paper. Both simulations and experiments demonstrate that whether a standard uniform rectangular array or a non-uniform array constituted by a small number of microphones is employed, the two-dimensional multiple-snapshot grid-free compressive beamforming using our ADMM based algorithm can estimate the DOAs and quantify the strengths of acoustic sources well, and reaching the same or even better DOA estimation accuracy as the one using the IPM based solver, our ADMM based algorithm is distinctly faster.
机译:具有平面麦克风阵列的压缩波束形成能够估计二维抵达方向(DOA)并有效地量化声学源的强度。最近,多快照网格的方法由于它可以规避传统网格的方法的基础错配难题并提高单快速网格网方法的基础不匹配难题的优点而涉及。基于原子标准最小化的策略使用基于PEG内部点法(IPM)的求解器来解决与原子规范最小化相当的正半纤维编程。我们在本文中介绍了一种基于乘法器(ADMM)的交替方向方法的替代算法。模拟和实验都表明,采用标准均匀矩形阵列或由少量麦克风构成的非均匀阵列,使用基于ADMM的算法的二维多快照网格无压缩波束形成可以估计DOA和通过基于IPM的求解器来量化声源井的强度,并达到相同或甚至更好的DOA估计精度,我们的ADMM基于APM的算法截然不同。

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