Compensation Techniques for Artifacts Arising Due to Non-ideal Components in Acoustic Reflectometry System

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ORIGINAL PAPER

Compensation Techniques for Artifacts Arising Due to Non-ideal Components in Acoustic Reflectometry System Kapil Dev Tyagi1 · Arun Kumar2 · Rajendar Bahl2 Received: 2 January 2020 / Accepted: 22 May 2020 © Australian Acoustical Society 2020

Abstract One of the applications of the acoustic reflectometry technique is to study the layered media structures such as soil, snow. The issues of acoustic reflectometry system to study the layered media structures related with using non-ideal components are given in this paper. It has been demonstrated that there are several artifacts present in the acoustic reflectometry analysis in practice. The paper presents the signal processing algorithms to compensate the effects of non-ideal components of an acoustic reflectometry system. We have developed the signal processing techniques using inverse filtering to compensate for the artifacts due to the non-ideal nature of the transmit–receive chain. The effectiveness of the inverse filter to compensate the artifacts is also tested. The application of the acoustic reflectometry system after artifacts compensation to study the layered structures has been demonstrated using experiments conducted in a full anechoic room. Keywords Acoustic reflectometry · Inverse filter · Layered structures

1 Introduction Acoustic reflectometry is a noninvasive technique to study and probe layered media such as soil, snow. [1–4]. In acoustic reflectometry, a loudspeaker is used to transmit acoustic signals and the reflected signals from the structure under test are recorded and analyzed. Different types of test signals can be used in acoustic reflectometry to study the reflections such as an impulse, impulse train, linear chirp, hyperbolic chirp, white noise. Their unique characteristics can help in the analysis process. The selection of a particular signal depends on the specific application. In this paper, we are concerned with the design of signal processing techniques for the linear chirp signal used as the probe signal for acoustic reflectometry for the field and laboratory experiments. A two-layer structure is constructed using foam and air medium in the laboratory. Detection of the reflected signals from the structure using signal processing compensation for system generated artifacts at the receiver is demonstrated. Researchers [4] have developed the acoustic reflectometry hardware for snow layer

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detection. But the system related issues have not been discussed, which lead to wrong layer detection. The effect of temperature variation on acoustic reflectometry system performance is also discussed in this paper. Similar setup has also been used for the other applications like measurement of acoustical properties of snow [5]. A well-calibrated system for such measurements based on the proposed technique will give less erroneous results. The next section describes the experimental setup of an acoustic reflectometry system for laboratory and field experiments. Also, the signal processing algorithms to analyze the received signal ar