Monopole Time Reversal Method Based on the Partitioned Cross-spectral Algorithm

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.