Optimization Analysis of LMS Algorithm in Stationary Environment and Its FPGA Implementation
Jinding Gao
Abstract
Jinding Gao
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.
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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)