Title On the optimization of spread spectrum chirps into arbitrary position and width pulse signals. Application to ultrasonic sensors and systems /
Authors Rodriguez-Martinez, A ; Svilainis, L ; De la Casa-Lillo, M.A ; Alvarez-Arenas, T.G ; Aleksandrovas, A ; Chaziachmetovas, A ; Salazar, A
DOI 10.1109/ACCESS.2021.3139562
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Is Part of IEEE Access.. Piscataway, NJ : IEEE. 2022, vol. 10, p. 2013-2027.. ISSN 2169-3536
Keywords [eng] transducers ; bandwidth ; optimization ; signal to noise ratio ; signal resolution ; acoustics ; ultrasound ; spread spectrum ; chirp ; arbitrary position and width pulses ; split spectrum processing ; nondestructive testing
Abstract [eng] This work presents in detail a new method for the optimization of rectangular spread spectrum excitation signals for its use in simple and low-cost ultrasonic pulsers, but that could be extended to other applications based on spread spectrum signals. Starting from rectangular linear frequency modulated (RLFM) chirps, it uses the transfer function of the transmitted signal and received echoes from reference specimens to iterate through a recursive algorithm to obtain arbitrary position and width pulse (APWP) signals with the desired bandwidth, maximizing the energy and the flatness of the spectrum, and enhancing the resolution and dynamic range of conventional chirp excitation signals. This optimization procedure can be repeated for any transducer and material, so that it achieves the best performance in each experimental environment. Such characteristics are ideal for Time-of-Flight estimation, imaging, and applications in which spectral regularity is needed, such as the Split Spectrum Processing (SSP) algorithm, which is used as example to test the performance of the proposed excitation signals. It also allows to specify and change the bandwidth reducing the need to change the transducers. The method is tested with different transducers (2 and 5 MHz focused transducers) and complex composite materials (aluminum-carbon aviation composite and high porosity GFRP composite) in immersion setup for imaging applications using SSP algorithm.
Published Piscataway, NJ : IEEE
Type Journal article
Language English
Publication date 2022
CC license CC license description