Google Research

Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity

7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2019


Many direction-of-arrival (DOA) estimation algorithms require accurate measurements from all sensing elements on an antenna array. However, in various practical settings, it becomes imperative to perform DOA estimation even in the presence of faulty elements. In this work, we develop an algorithm that can jointly estimate the DOA of sources and the locations of the faulty elements. This is achieved by introducing weights that describe the degree of outlierness of each element. Further, for situations where only single snapshots are available, we propose a new snapshot diversity formulation for which our algorithm can still be applied. Simulation results over four different fault models demonstrate that the proposed algorithm robustly estimates DOAs and accurately identifies the faulty elements.

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