FPGA implementation of LMS-based FIR adaptive filter for real time digital signal processing applications

Didactic platforms, used in real-time digital signal processing courses, are generally dedicated digital signal processors or field-programmable gate arrays. These devices are expensive and difficult to program, preventing their widespread use in signal processing courses. On the other hand, the new technology of digital signal controllers, microcontrollers with floating point and mathematical operations, can reduce the cost of dedicated platforms for real-time digital signal processors, facilitating the development of digital signal processors projects and educational applications, such as teaching adaptive filters. Here, we present a low-cost didactic platform for developing real-time adaptive filters using the digital signal processors hardware based on the ARM Cortex-M7 processor. We present the theoretical aspects of the least mean squares and normalized least mean squares algorithms and an experimental script to help students learn real-time adaptive filters. We also describe the platform structure and the performance measurement, in terms of mean square error, signal-to-noise ratio, and computational efficiency. Finally, we present a brief discussion on the use of this platform in classes and the improvement in the student engagement and attendance.

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“…The results are in agreement with the literature. [36][37][38][39] Planning the experiments, and evaluating teaching and learning…”

Section: Design and Test Of Lms And Nlms Algorithmsmentioning

confidence: 99%

Low-cost didactic platform for real-time adaptive filtering: Application on noise cancellation

Beccaro

Santos

Peres

et al. 2019

International Journal of Electrical Engineering & Education

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“…Researcher tries to reduce the excess use of multipliers and longer cycle periods. Also proposed a design for an FPGA implementation of an LMS based adaptive filter using the Xilinx DSP48 [5]. The proposed architecture uses one set of multipliers for both filter output and weight increment term calculation.…”

Section: Carlo Safarian Et Al [5] Discussed Fpga Implementation Of mentioning

confidence: 99%

Comparative Analysis and Survey of LMS and RLS Adaptive Algorithms

Ali¹,

Rawat²,

Malvia³

2017

IJCA

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“…LMS algorithm is implemented in VLSI using various architectures [6]. The basic filter in LMS is finite impulse response (FIR) filter.…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive filter finds its applications in noise cancellation of car environment [4], electrocardiography signal noise cancellation [5], signal processing applications [6], and to suppress intersymbol interference in digital communication system [7].…”

Section: Introductionmentioning

confidence: 99%

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Field Programmable Gate Array Implementation of a Variable Leaky Least Mean Square Adaptive Algorithm

Kalkar

Alex

2017

Asian J Pharm Clin Res

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Adaptive noise cancellation is an extensively researched area of signal processing. Many algorithms had been studied such as least mean square algorithm (LMS), recursive least square algorithm, and normalized LMS algorithm. The statistical characteristics of noise are fast in nature and the algorithms for noise cancellation should converge fast. Since LMS algorithm has slow convergence; in this paper, a variable leaky LMS (VLLMS) algorithm is explored. VLLMS is implemented using the concept of hardware-software cosimulation using Xilinx System Generator. The design is implemented on Virtex-6 ML605 field programmable gate array board. The implemented design is tested for sinusoidal signal added with an additive white Gaussian noise. The design summary and the utilization summary are presented.

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FPGA implementation of LMS-based FIR adaptive filter for real time digital signal processing applications

Cited by 18 publications

References 10 publications

Low-cost didactic platform for real-time adaptive filtering: Application on noise cancellation

Low-cost didactic platform for real-time adaptive filtering: Application on noise cancellation

Comparative Analysis and Survey of LMS and RLS Adaptive Algorithms

Field Programmable Gate Array Implementation of a Variable Leaky Least Mean Square Adaptive Algorithm

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