2013Piezoelectrics and AcoustoopticsRequires access

Optimization Analysis of LMS Algorithm in Stationary Environment and Its FPGA Implementation

Jinding Gao

Open publisher page 0 citations

Abstract

The design and FPGA implementation of high-speed adaptive filter has been a hot research field of signal processing.However,the running speed of the ordinary LMS adaptive filter was limited by the calculating filter output and the coefficients updating time.For stationary environment,using prospective technique and relaxation approximation,adaptive filter coefficient update equations was optimized,an improved structure of the LMS adaptive filter was acquired at first in this paper.Then an model of four-order improved LMS structure adaptive filter was built based on the DSP Builder tool and a series of simulation was fulfilled with a variety of EDA tools,ultimately,an high-speed adaptive filter with 60.07 MHz was implemented on the EP2C35 type FPGA.The results show that the improved structure LMS adaptive filter has a faster response speed than the general structure,but the resources were used more.

About this research paper

What this paper is about

The design and FPGA implementation of high-speed adaptive filter has been a hot research field of signal processing.However,the running speed of the ordinary LMS adaptive filter was limited by the calculating filter output and the coefficients updating time.For stationary environment,using prospective technique and relaxation approximation,adaptive filter coefficient update equations was optimized,an improved structure of the LMS adaptive filter was acquired at first in this paper.Then an model of four-order improved LMS structure adaptive filter was built based on the DSP Builder tool and a series of simulation was fulfilled with a variety of EDA tools,ultimately,an high-speed adaptive filter with 60.07 MHz was implemented on the EP2C35 type FPGA.The results show that the improved structure LMS adaptive filter has a faster response speed than the general structure,but the resources were used more.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The design and FPGA implementation of high-speed adaptive filter has been a hot research field of signal processing.However,the running speed of the ordinary LMS adaptive filter was limited by the calculating filter output and the coefficients updating time.For stationary environment,using prospective technique and relaxation approximation,adaptive filter coefficient update equations was optimized,an improved structure of the LMS adaptive filter was acquired at first in this paper.Then an model of four-order improved LMS structure adaptive filter was built based on the DSP Builder tool and a series of simulation was fulfilled with a variety of EDA tools,ultimately,an high-speed adaptive filter with 60.07 MHz was implemented on the EP2C35 type FPGA.The results show that the improved structure LMS adaptive filter has a faster response speed than the general structure,but the resources were used more.

Key concepts: Adaptive filter, Kernel adaptive filter, Field-programmable gate array, Filter (signal processing), Filter design, Computer science, Digital signal processing, Control theory (sociology)

Related papers

Back to paper searchBrowse research topicsOriginal source
Optimization Analysis of LMS Algorithm in Stationary Environment and Its FPGA Implementation — Research Paper | ScholarLens