학술논문

Monopole Time Reversal Method Based on the Partitioned Cross-spectral Algorithm
Document Type
Conference
Source
2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Information Communication and Signal Processing (ICICSP), 2021 4th International Conference on. :733-736 Nov, 2022
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Location awareness
Signal processing algorithms
Imaging
Dynamic range
Signal processing
Numerical simulation
Time measurement
time reversal
cross spectrum
signal-to-noise ratio
sound source localization
Language
ISSN
2770-792X
Abstract
Monopole time reversal (MTR) method is an advanced sound source localization technology, while the sidelobes of sound source imaging have a high level at low signal-to-noise ratios, which may lead to the sound sources are masked. In order to reduce the influence of noise, the monopole time reversal method based on a partitioned cross spectral algorithm is proposed in this paper. In this method, the measurement array is first divided into several blocks, and then the time reversed pressure field of every block is obtained by the MTR method. Subsequently, the partitioned cross spectrum is calculated by multiplying the time reversed pressure fields of all blocks as the final result. Numerical simulations show that compared with the conventional MTR method, the proposed method is able to dramatically improve the dynamic range of sound source imaging above 10 dB, and can realize low-sidelobe localization of the sources at SNR of -5 dB.