MMSE-BDFE (Minimum Mean Square Error-Blind Decision Feedback Equalizer) multi-user detection system based on neural network, and working method of MMSE-BDFE multi-user detection system

A MMSE-BDFE, multi-user detection technology, applied in the transmission system, electrical components, etc., can solve the problems of difficult implementation and high algorithm complexity

Inactive Publication Date: 2013-01-09
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

MMSE-BDFE is a detection technology developed on the basis of the minimum mean square error. It uses feedback to reduce the influence of interference on the signal and has better detection performance, but its algorithm complexity is very high, so in practical applications more difficult to achieve

Method used

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  • MMSE-BDFE (Minimum Mean Square Error-Blind Decision Feedback Equalizer) multi-user detection system based on neural network, and working method of MMSE-BDFE multi-user detection system
  • MMSE-BDFE (Minimum Mean Square Error-Blind Decision Feedback Equalizer) multi-user detection system based on neural network, and working method of MMSE-BDFE multi-user detection system
  • MMSE-BDFE (Minimum Mean Square Error-Blind Decision Feedback Equalizer) multi-user detection system based on neural network, and working method of MMSE-BDFE multi-user detection system

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Embodiment

[0024] Embodiment: a kind of MMSE-BDFE multi-user detection system based on neural network (see figure 1 ), characterized in that it includes a receiver, a noise adder, a sampler, a filter, a channel estimation unit and a neural network signal detection processing unit; wherein, the input of the receiver receives user information from the antenna in a spatial channel, Its output end is connected to the input end of sampler; The output end of described noise adder is delivered noise to the input end of sampler; The output end of described sampler is connected to the input end of filter; The output end of described filter is connected The input end of the channel estimation unit; the output end of the channel estimation unit is connected to the input end of the neural network signal detection processing unit; the output end of the neural network signal detection processing unit outputs the required signal.

[0025] The noise adder (see figure 1 ) is Gaussian white noise.

[00...

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Abstract

The invention discloses an MMSE-BDFE (Minimum Mean Square Error-Blind Decision Feedback Equalizer) multi-user detection system based on a neural network. The MMSE-BDFE multi-user detection system is characterized by comprising a receiver, a noise adder, a sampler, a filter, a channel estimating unit and a neural network signal detection processing unit. A working method of the MMSE-BDFE multi-user detection system comprises the steps of: receiving a signal, obtaining noise, sampling and filtering, processing a data function and outputting a signal. The MMSE-BDFE multi-user detection system has the advantages that the structure is simple, the convenience is brought for the operation, the computing complexity of an MMSE-BDFE is reduced, the MMSE-BDFE is optimized to be crossed with a neural network, multi-site interference is inhibited, communication quality and system stability are improved; and an optimization program of multi-user detection corresponds to an energy function of a Hopfield neural network, thus the instantaneity is improved.

Description

(1) Technical field: [0001] The invention relates to the field of signal processing, in particular to a neural network-based MMSE-BDFE (Minimum Mean Square Error Block Decision Feedback Equalizer) multi-user detection system and its working method. (2) Background technology: [0002] Due to the multipath effect and time variation of the wireless channel, the code words cannot be completely orthogonal, so there must be multiple access interference (MAI) in the TD-SCDMA system. As the number of users increases or the signal power of some users increases, MAI will become the main interference of the CDMA system. On the other hand, due to the constantly changing location of mobile users and the existence of deep fading, the signals of strong power users will suppress the signals of weak power users, and the system performance will seriously deteriorate, which is the so-called "near-far effect". The existence of these problems seriously limits the capacity and performance of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B1/7105
Inventor 何宏李丹张志宏徐晓宁
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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