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 :
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