Abstract
Noise radiated from an autonomous underwater vehicle (AUV) is one of the major sources of interference that impact the acoustic performance of its towed array sensor, especially during passive detection under low ambient noise conditions. In this paper, an adaptive noise canceller (ANC) based on the partitioned fast block least-mean-square adaptive algorithm is designed and applied to mitigate the AUV-radiated noise to improve the detection performance of a linear array towed by an AUV platform. The gain, defined as the ratio of the output signal-to-noise ratio (SNR) to the input SNR, is taken as the metric for our ANC. Results obtained from processing the experimental data indicate that the gain of the ANC is up to 20 dB.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
