Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Hardware implementation of least means square (LMS) self-adapting filter with high performance

An adaptive filter and filter technology, applied in the direction of adaptive network, electrical components, impedance network, etc., can solve problems such as restricting applications, and achieve the effect of reducing hardware overhead, reducing the number of stages, and improving running speed

Inactive Publication Date: 2013-06-05
SUZHOU LANGKUAN ELECTRONICS TECH
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This limits the application of the algorithm in high-speed real-time environments

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hardware implementation of least means square (LMS) self-adapting filter with high performance
  • Hardware implementation of least means square (LMS) self-adapting filter with high performance
  • Hardware implementation of least means square (LMS) self-adapting filter with high performance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to meet the requirement of high performance, the present invention specially optimizes the architecture of the filter system, and invents a new multiply-accumulate unit, which greatly improves the working speed of the system.

[0027] It can be seen from the formulas (4), (5) and (6) that the DLMS adaptive filter has two inputs, namely the sampling data input and the expected signal input. Therefore, there are two modules in the DLMS structure: FIR filter module and coefficient update module; and two recursive loops: weight update loop and error feedback loop. Its system block diagram is as figure 1 shown.

[0028] FIR filters have two structures, namely direct type and transpose type, and their structure diagrams are as follows figure 2 and image 3 shown. From figure 2 and 3 It can be seen that the maximum delay of the direct type is Tm+MTa, and the maximum delay of the transpose type is Tm+Ta, where Tm is the delay of the multiplier, Ta is the del...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of hardware implementation of a self-adaptive filtering algorithm based on LMS (least means square). A self-adapting filter with high performance is designed. The hardware implementation of the LMS self-adapting filter with high performance mainly gives priority to data operation and is based on a delay LMS (DLMS) algorithm. A whole system comprises two modules and two recursive loops, wherein the modules comprise a finite impulse response (FIR) filtration module and a coefficient updating module, and the recursive loops comprise a weight updating loop and an error feedback loop. The FIR filtration module comprises a multiply-accumulate unit unique to the invention, the multiply-accumulate unit is achieved by means of a stream line and a parallel technique, and the multiply-accumulate unit does not vary with the variation of an order when delay occurs. The multiply-accumulate unit optimizes multiplication and addition as a whole, and the multiplication reduces the number of partial products and addition series of an accumulator by utilizing an improved Booth code and 4-2 compressors. A sign function is adopted in the coefficient updating module, and hardware expense required by the module is reduced. According to the hardware implementation of the LMS self-adapting filter with high performance, the self-adapting filter system which is high in speed, small in area and remarkable in filtering effect is achieved.

Description

technical field [0001] The invention relates to the technical field of hardware realization of an adaptive filter based on an LMS algorithm. technical background [0002] In high-speed digital communication, multipath fading and channel distortion may cause serious intersymbol interference (ISI), which has become one of the main difficulties faced by digital communication. Adaptive equalizers are widely used in digital communications to eliminate ISI due to their ability to track time-varying signals. A core component of an adaptive equalizer is the adaptive filter. Adaptive filters have many adaptive algorithms, and LMS is one of them. Because the hardware structure of the LMS algorithm is simple and the effect is good, it is widely used. [0003] The mathematical formula of the adaptive principle of the LMS algorithm is as follows: [0004] Y k = X k T W k …………………………………… (1) [0005] e k =D k -Y k =D k -X k T W k ………………………… (2) [0006] W k+1 =...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00H03H17/06
Inventor 李奚鹏
Owner SUZHOU LANGKUAN ELECTRONICS TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com