Work

On the Error Metrics Used for Direction of Arrival Estimation

Year: 2025

Type: article

Abstract: In this article, the error metrics used for evaluating the performance of direction of arrival (DoA) estimation are thoroughly investigated to recommend the most suitable one. This investigation highlights the lack of consensus in the literature regarding the selection and definition of these metrics. We show that this disparity is particularly serious in 2D DoA estimation, an aspect often overlooked by many authors. Notably, certain widely accepted error metrics can yield inaccurate and misleading results. Therefore, this article advocates for the adoption of a specific error metric that ensures accurate and meaningful assessments of 2D DoA estimation. A set of numerical and experimental results is presented to demonstrate the potential of the proposed error metric compared to other well-known metrics. Unlike other metrics, our proposed error definition is frame-independent. Finally, practical use cases are briefly discussed to highlight the pervasive impact of this fundamental definition.

Source: Sensors

DOI: 10.3390/s25082358

Authors: Mohammad Abdul Hannan, Ottavio Crisafulli, Giuseppe Giammello, Gino Sorbello

Institutions: University of Catania, Consorzio Nazionale Interuniversitario per le Telecomunicazioni, University of Reggio Calabria

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funders: European Commission, NextGenerationEU