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
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Problems solved by technology

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

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  • 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

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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...

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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

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00H03H17/06
Inventor 李奚鹏
Owner SUZHOU LANGKUAN ELECTRONICS TECH
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