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

Integrated least-mean-square (LMS) adaptive filter and method

A technology of adaptive filter and adaptive algorithm, applied in the direction of adaptive network, impedance network, digital technology network, etc., can solve the problem of system failure to converge, and achieve the effect of reducing complexity and reducing hardware resources

Active Publication Date: 2012-03-28
OLINKSTAR CORP
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The invention also solves the defect that the system cannot converge when the input signal is large due to the fixed step size in the general least mean square LMS adaptive algorithm, and ensures the stable and fast convergence of the large signal while ensuring the convergence speed of the small signal

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
  • Integrated least-mean-square (LMS) adaptive filter and method
  • Integrated least-mean-square (LMS) adaptive filter and method
  • Integrated least-mean-square (LMS) adaptive filter and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040] Such as image 3 As shown, it is a structural schematic diagram of an embodiment of the integerized LMS adaptive filter of the present invention. An integerized least mean square LMS adaptive filter, including a digital filter, the digital filter converts the step size 2μ from a fractional number less than 1 to a value greater than 1 or equal to 1 by selecting an appropriate integerization coefficient Integer, so that the filter weight coefficient w(n) obtained through the LMS adaptive algorithm operation is also an integer greater than 1 or equal to 1, and the output signal y(n) is also amplified by the integer; the output terminal of the digital filter is connected to An error calculation module, the error calculation module subtracts the expected signal d(n) and the expected signal d(n) from the output signal y(n) according to the in...

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 provides an integrated least-mean-square (LMS) adaptive filter, which comprises a digital filter, wherein the digital filter integrates a step length 2 mu which is a decimal fraction into an integer of more than or equal to 1, and outputs an output signal y(n) which is integrated and amplified at the same time; an output end of the digital filter is connected with an error calculation module which is used for performing order-of-magnitude matching calculation on a desired signal d(n) and an error signal e(n); and by integrated processing, the decimal multiplication operation of the LMS adaptive filter is avoided, and the complexity of an implementation circuit is reduced. The invention also provides a method for acquiring an adaptive weight coefficient by using a variable step length. The invention has the advantages that: by arranging an error judgment module, the step length is variable; and a large signal can be stably and quickly converged during the guaranteeing of the convergence speed of a small signal.

Description

technical field [0001] The invention relates to the field of digital signal processing, in particular to an integerized least mean square LMS adaptive filter and method, which are suitable for signal anti-interference processing in the field of communication or satellite navigation. The least mean square is least-mean-square, abbreviated as LMS. Background technique [0002] Adaptive filters have always been one of the research hotspots in the field of signal processing. After more than 30 years of development, they have been widely used in digital communications, radar, sonar, seismology, navigation systems, biomedicine, and industrial control. [0003] An adaptive filter is a time-varying filter because its parameters are constantly changing to meet a certain performance requirement. In this sense, an adaptive filter can be interpreted as a filter that performs an approximation step in an online manner. In general, defining performance criteria requires a reference signal...

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
IPC IPC(8): H03H21/00H03H17/06
Inventor 不公告发明人
Owner OLINKSTAR CORP
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