Title :
FPGA Implementation of an Adaptive Noise Canceller
Author :
Lan, Tian ; Zhang, Jinlin
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
This paper proposes an FPGA implementation of an Adaptive Noise Canceller using the Least Mean Square (LMS) algorithm. The hardware architecture is synthesized using the Xilinx Spartan-3e Starter Kit as the target board. The experimental result of the hardware implementation shows the performance of LMS algorithm under different conditions and the feasibility of our architecture. A comparison between hardware and pure software implementation is then made with different filter taps.
Keywords :
field programmable gate arrays; interference suppression; least mean squares methods; signal denoising; FPGA; Xilinx Spartan-3e starter kit; adaptive noise canceller; least mean square algorithm; Acoustic sensors; Adaptive filters; Application software; Digital signal processing; Field programmable gate arrays; Hardware; Least squares approximation; Noise cancellation; Signal processing algorithms; Very large scale integration; field programmable gate array (FPGA); hardware implementation; least mean square (LMS) filtering;
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
DOI :
10.1109/ISIP.2008.107
