Theory and implementation method based on PCI reverberation elimination algorithm
Qi Yan
Abstract
Qi Yan
Abstract
For the active sonar operating in the reverberation-limited environment, reverberation is one of main factors restricting the performance exertion. How to effectively suppress or weaken the reverberation has academic and practical meanings to enhance the detection capabilities of the active sonar. The signal subspace theory named Principal Component Inverse (PCI) of the reverberation estimation method realizes the separation of the reverberation and signal in the reverberation suppression area, and a reverberation subspace method is proposed. The practical sea trial data analysis shows that the method can effectively delete the reverberation of receiving signals and is beneficial to improve the detection performance under the reverberation limited environment.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
For the active sonar operating in the reverberation-limited environment, reverberation is one of main factors restricting the performance exertion. How to effectively suppress or weaken the reverberation has academic and practical meanings to enhance the detection capabilities of the active sonar. The signal subspace theory named Principal Component Inverse (PCI) of the reverberation estimation method realizes the separation of the reverberation and signal in the reverberation suppression area, and a reverberation subspace method is proposed. The practical sea trial data analysis shows that the method can effectively delete the reverberation of receiving signals and is beneficial to improve the detection performance under the reverberation limited environment.
Key concepts: Reverberation, Marine mammals and sonar, Computer science, Sonar, Sonar signal processing, Acoustics, Speech recognition, SIGNAL (programming language)