Self-Calibration of Acoustic Scalar and Vector Sensor Arrays

Abstract

In this work, we consider the self-calibration problem of joint calibration and direction-of-arrival (DOA) estimation using acoustic sensor arrays. Unlike many previous iterative approaches, we propose solvers that can be readily used for both linear and non-linear arrays for jointly estimating the sensor gain, phase errors, and the source DOAs. We derive these algorithms for both the conventional element-space and covariance data models. We focus on sparse and regular arrays formed using scalar sensors as well as vector sensors. The developed algorithms are obtained by transforming the underlying non-linear calibration model into a linear model, and subsequently by using convex relaxation techniques to estimate the unknown parameters. We also derive identifiability conditions for the existence of a unique solution to the self-calibration problem. To demonstrate the effectiveness of the developed techniques, numerical experiments, and comparisons to the state-of-the-art methods are provided. Finally, the results from an experiment that was performed in an anechoic chamber using an acoustic vector sensor array are presented to demonstrate the usefulness of the proposed self-calibration techniques.

Augmented improved nested array with enhanced degrees of freedom and reduced mutual coupling effect

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Research of IoT Technology Based Online Status Monitoring on Hydropower Station Equipment

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IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status

“…Relaying techniques, at the heart of modern communication systems, are instrumental in overcoming signal propagation challenges and enhancing data transmission performance [12][13][14][15]. The usage of relay selection, involves the strategic choice of relay nodes to assist in data transmission, significantly impacting data rates and overall system performance [16][17][18][19]. Relays act as intermediaries, extending coverage, improving signal quality, and mitigating issues like signal attenuation or fading.…”