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Wavelength division multiple access ultra-wideband multiuser detection method based on Gaussian mixture model clustering

A Gaussian mixture model, multi-user detection technology, applied in the field of ultra-broadband communication, can solve the problems of low detection performance and poor real-time performance, and achieve the effect of solving excessive computational complexity

Active Publication Date: 2018-11-09
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problems of poor real-time performance and low detection performance of existing wavelength division multiple access ultra-wideband multi-user detection methods, and propose a wavelength division multiple access ultra-wideband multi-user detection method based on Gaussian mixture model clustering

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  • Wavelength division multiple access ultra-wideband multiuser detection method based on Gaussian mixture model clustering
  • Wavelength division multiple access ultra-wideband multiuser detection method based on Gaussian mixture model clustering
  • Wavelength division multiple access ultra-wideband multiuser detection method based on Gaussian mixture model clustering

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specific Embodiment approach 1

[0017] Specific implementation mode one: as figure 1 As shown, a WDM multi-user detection method based on Gaussian mixture model clustering comprises the following steps:

[0018] Step 1: Obtain WDM UWB signals under Gaussian channels, input the UWB signals into K matched filters for preliminary detection, and obtain the matched filter result y=[y 1 ,y 2 ,...,y K ] T , where y 1 ,y 2 ,...,y K is the matched filtering result from the first user to the Kth user;

[0019] Step 2: Perform symbol judgment and symbol mapping on the matched filter result y of K users, and map the matched filter result y to a symbol mapping result conforming to the Gaussian mixture model The result of symbol judgment for the matched filter result y of the jth user;

[0020] Step 3: Map the code element to the result Gaussian mixture model clustering is carried out, and after the error symbols are corrected, the WDM ultra-wideband multi-user detection result is output.

[0021] In the case ...

specific Embodiment approach 2

[0023] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the cross-correlation coefficient matrix R=(r of the K matched filters described in the step one ij ) K×K , satisfy and r ii >>|r ij |, r ii ≈1, i,j=1,2,…,K, i≠j; where r ii is the i-th row and i-column element in the cross-correlation coefficient matrix R, r ij is the element in row i and column j in the cross-correlation coefficient matrix R.

[0024] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0025] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that in the step two, the matched filtering results y of the K users are j Carry out symbol judgment and symbol mapping, and match the filter result y j Mapped to the symbol mapping result conforming to the Gaussian mixture model The specific process is:

[0026] Step 21: Let the initial mapping function in Is the result of the sign judgment of the matched filtering result y; where A is a diagonal matrix, The result of symbol judgment for the matched filter result y from the first user to the Kth user;

[0027] Step two two: Yes Taking the partial derivative, we get:

[0028]

[0029] Step 23: Let the mapping equation be:

[0030]

[0031] where A j is the amplitude value of the jth ultra-wideband signal received;

[0032] according to The mapping equation is rewritten as:

[0033]

[0034] where b i is the sending symbol, n j Gaussian whit...

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Abstract

The invention relates to a wavelength division multiple access ultra-wideband multiuser detection method based on Gaussian mixture model clustering, relates to a wavelength division multiple access ultra-wideband multiuser detection method and aims to solve problem of poor real-time performance and low detection performance of a WDM ultra-wideband multi-user detection method in the prior art. Themethod comprises steps that S1, a WDM ultra-wideband signal under a Gaussian channel is obtained, the ultra-wideband signal is inputted into K matched filters for preliminary detection to obtain the matched filtering result y; S2, the matched filtering result y of K users is subjected to symbol decision and code element mapping, the matched filtering result y is mapped to be the code element mapping result conforming to a Gaussian mixture model; and S3, the code element mapping result phi(b<^>j) is subjected to Gaussian mixture model clustering, after an error code element is corrected, the WDM ultra-wideband multi-user detection result is outputted. The method is applied to the ultra-wideband communication field.

Description

technical field [0001] The invention relates to ultra-wideband communication, in particular to a wavelength division multiple access ultra-wideband multi-user detection method based on Gaussian mixture model clustering. Background technique [0002] WDM UWB is a modulation method of UWB wireless communication. The difference between WDM communication system and traditional communication system is that the pulse waveform used in pulse modulation is generated by orthogonal wavelet. Each user The mutually orthogonal wavelet functions are used. The signal source is BPSK modulated with the orthogonal wavelet after coding, and then transmitted to the space channel through the pulse signal transmitter. After being synchronously captured by the pulse signal receiver, matched filtering and multi-user detection are performed to obtain the baseband signal. [0003] Suppose there are K users in the system, and the transmitters of the users are all modulated by binary phase shift keying...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L1/00H04B1/7163
CPCH04B1/71637H04L1/0048
Inventor 尹振东沈涛吴芝路吴明阳赵延龙
Owner HARBIN INST OF TECH
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