Underwater Active Noise Cancellation Combining Kalman Filter with FxLMS

التفاصيل البيبلوغرافية
العنوان: Underwater Active Noise Cancellation Combining Kalman Filter with FxLMS
المؤلفون: Rahman, Md. Mostafizur, Sarker, Sumonto, Islam, Md. Mehedi
المساهمون: Md. Mostafizur Rahman, Sumonto Sarker, Md. Mehedi Islam
بيانات النشر: Zenodo, 2023.
سنة النشر: 2023
مصطلحات موضوعية: FxLMS, Signal Enhancement, Kalman Filter, Signal Denoising
الوصف: Underwater environments are more challenging than that of terrestrial. The performance of a controller or the augmented system depends on the real measured data, so noise on data readings can be fatal. To effectively and adaptively control noise frequency, the Active Noise Cancellation (ANC) was developed. The primary focus of this paper is to design a system by modifying the parameters of FxLMS to reduce noise. The required equations is analyzed and discussed briefly. Moreover, the system is simulated in MATLAB, and the filtered result is analyzed. Based on the simulation results, this proposed model can filter out noisy signals, particularly when there is a significant variation in the data and no knowledge of the noise frequency that might affect sensor readings.
اللغة: English
DOI: 10.5281/zenodo.7741880
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c20c155add1747f7b69022a41ba781bf
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....c20c155add1747f7b69022a41ba781bf
قاعدة البيانات: OpenAIRE