SDDec 2, 2016

FRIDA: FRI-Based DOA Estimation for Arbitrary Array Layouts

arXiv:1612.00876v133 citations
Originality Highly original
AI Analysis

This addresses a domain-specific problem in signal processing for applications like acoustic sensing, offering a novel method for improved performance in challenging conditions.

The paper tackles the problem of estimating directions of arrival for multiple wideband sound sources using arbitrary array layouts, achieving state-of-the-art resolution at extremely low signal-to-noise ratios without requiring a grid search.

In this paper we present FRIDA---an algorithm for estimating directions of arrival of multiple wideband sound sources. FRIDA combines multi-band information coherently and achieves state-of-the-art resolution at extremely low signal-to-noise ratios. It works for arbitrary array layouts, but unlike the various steered response power and subspace methods, it does not require a grid search. FRIDA leverages recent advances in sampling signals with a finite rate of innovation. It is based on the insight that for any array layout, the entries of the spatial covariance matrix can be linearly transformed into a uniformly sampled sum of sinusoids.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes