DocumentCode
3324273
Title
Design and implementation of LMS adaptive filter algorithm based on FPGA
Author
Guanghui Cai ; Jun Yang ; Chuan Liang ; Hongye Li
Author_Institution
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
fYear
2013
fDate
23-24 Dec. 2013
Firstpage
383
Lastpage
385
Abstract
In the occasion of real-time requirements and harsh electromagnetic environments, currently adaptive filtering algorithm is most based on the DSP chip, using of Assembly Language and high-level language programming procedures, and the speed of processing and the performance of noise immunity are not match the requirement. LMS adaptive filter is a widely used digital signal processing algorithms. Due to the high flexibility and the high integrated of FPGA technology, this paper propose a LMS algorithm using FPGA technology to achieve it, and well used in adaptive filter, not only meet the needs of flexibility and real-time for systems, but also easy to implement, compared with other algorithms it is more simple and more reliable. It has good prospects in the field of signal processing.
Keywords
adaptive filters; digital signal processing chips; field programmable gate arrays; least mean squares methods; Assembly Language; DSP chip; FPGA technology; LMS adaptive filter algorithm; adaptive filtering algorithm; digital signal processing algorithms; harsh electromagnetic environments; high-level language programming procedures; noise immunity; Adaptive filters; Algorithm design and analysis; Educational institutions; Field programmable gate arrays; Least squares approximations; Real-time systems; Signal processing algorithms; Adaptive Filtering; FPGA; LMS;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location
Toronto, ON
Type
conf
DOI
10.1109/IMSNA.2013.6743296
Filename
6743296
Link To Document