Design and implementation of LMS adaptive filter algorithm based on FPGA

• Published in: 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA) pp. 383 - 385
• Main Authors: Guanghui Cai, Jun Yang, Chuan Liang, Hongye Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2013
• Subjects: Adaptive Filtering; Adaptive filters; Algorithm design and analysis; Educational institutions; Field programmable gate arrays; FPGA; Least squares approximations; LMS; Real-time systems; Signal processing algorithms
• DOI: 10.1109/IMSNA.2013.6743296

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.