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Optimal Decision Delay Search Method for Minimum Mean Square Error Decision Feedback Equalization System

A technology of decision feedback equalization and minimum mean square error, applied in the field of optimal decision delay search, can solve the problems of limited application and large amount of calculation

Inactive Publication Date: 2016-08-10
SHANTOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, every time the system mean square error (MSE, Mear Square Error) is calculated at a selected decision delay, a matrix inversion operation is required, so the method of traversal search is computationally intensive, and its practical application may be limited

Method used

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  • Optimal Decision Delay Search Method for Minimum Mean Square Error Decision Feedback Equalization System
  • Optimal Decision Delay Search Method for Minimum Mean Square Error Decision Feedback Equalization System
  • Optimal Decision Delay Search Method for Minimum Mean Square Error Decision Feedback Equalization System

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Embodiment 1 When the signal-to-noise ratio is 20 dB, the performance of the present invention is compared with that of the traverse search method.

[0050] Under the Matlab simulation environment, the Monte Carlo method is used to simulate and calculate the system mean square error of the method proposed in the present invention. The signal-to-noise ratio of the system is defined as:

[0051] SNR = E ( | x i | 2 ) Σ l = 0 v | h l | 2 / σ w 2

[0052] where h l is the channel impulse response of the l-th ...

Embodiment 2

[0068] Embodiment 2 The performance comparison between the present invention and the ergodic search method under different system signal-to-noise ratios.

[0069]Under the Matlab simulation environment, the Monte Carlo method is used to simulate and calculate the system mean square error of the method proposed in the present invention. The length Nb of the decision feedback filter of the system is set to 7, and the settings of other parts are the same as those in the first embodiment. For each signal-to-noise ratio, 500 channel realizations are simulated, and the operation steps in each cycle are the same as in Embodiment 1. After obtaining 500 MSE values, calculate the average value, as shown in the following table:

[0070] SNR(dB)

5

10

15

20

25

this invention

5.06

5.26

5.44

5.28

5.31

traverse search

14

14

14

14

14

[0071] Table 1 The average number of times MSE is calculated by the method of the pres...

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Abstract

The invention relates to the technical field of digital communication, in particular to an optimal decision time delay searching method for a minimum mean square error decision feedback balance system. In a training stage, the receiving end can firstly acquire channel impact response and noise variance information according to pilot signals, then the receiving end searches for the optimal decision time delay according to certain algorithm to set filter coefficients of the system, and the system is in a data sending stage. When the length of a feedback filter is judged to be smaller than a channel order, the optimal decision time delay searching method is provided for an MMSE-DFE system. The searching method can achieve the optimal or the suboptimal decision time delay which is close to system mean square error performance achieved through an ergodic searching method. However, the optimal decision time delay searching method obviously reduces algorithm complexity.

Description

technical field [0001] The invention relates to the technical field of digital communication, in particular to an optimal decision delay search method for a minimum mean square error decision feedback equalization system. Background technique [0002] In a digital communication system, due to the multipath effect of the channel, there will be intersymbol interference between the transmitted symbols. In order to overcome the intersymbol interference and improve the performance of the communication system, an equalization technique needs to be adopted at the receiving end. Minimum Mean Square Error-Decision Feedback Equalizer (MMSE-DFE, Minimum Mean Square Error-Decision Feedback Equalizer) is one of the important equalization techniques. The receiving end of the MMSE-DFE system consists of two filters, namely the feedforward filter and the decision feedback filter. The decision delay is an important parameter in the design of the system, which determines the coefficient con...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02H04L25/03
Inventor 周雯范立生李旭涛
Owner SHANTOU UNIV
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