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Underdetermined system real orthogonal space-time block code blind identification method based on robust competitive clustering

A technique for robust competition clustering and space-time block codes, applied in the field of signal processing

Active Publication Date: 2015-02-18
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The space-time code is a kind of code for the transmitted symbols in the MIMO system. The identification of the space-time code is one of the important contents of the non-cooperative MIMO system. To decode the received signal, it is necessary to know its coding method. There is no public report on this Therefore, it is necessary to further identify the type of space-time block code

Method used

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  • Underdetermined system real orthogonal space-time block code blind identification method based on robust competitive clustering
  • Underdetermined system real orthogonal space-time block code blind identification method based on robust competitive clustering
  • Underdetermined system real orthogonal space-time block code blind identification method based on robust competitive clustering

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Experimental program
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Effect test

Embodiment 1

[0112] Embodiment 1: RCA estimation virtual channel analysis

[0113] Underdetermined systems considering insufficiently sparse signals, namely n T >n R And at each sampling moment, multiple source signals act simultaneously k≥2. In the simulation, the number of transmitting antennas n T =5, the number of receiving antennas n R =3, k=2. SNR=5dB. Perform RCA estimation virtual channel analysis.

[0114] Figure 4 -c means that the mixed signal is projected onto the upper hemisphere, take C max =50, ε=0.5 when estimating the clustering plane and mixing matrix, ε 1 = 0.0005. From Figure 5 -b It can be seen that there are 10 clustering plane potentials whose relative size exceeds 0.5, which is equivalent to 10 clustering planes, which is the number of actual clustering planes.

[0115] Using the estimated clustering planes, the source number and mixing matrix can be estimated. The relative size of the estimated mixing vector and its potential is as follows Figure 5 ...

Embodiment 2

[0121] Example 2: Estimation performance analysis of N

[0122] In the simulation, if you want to design the sparsity threshold, you must first know the number N of symbols in each group. Number of different transmit antennas n T and the number of receiving antennas n R , that is (n T , n R ), the root mean square error RMSE of the estimated value of N is respectively as Figure 6 shown.

[0123] It can be seen from the figure that when SNR≥-6dB, the MDL algorithm can be used to estimate N more accurately; in the same (n T , n R ), the symbol estimation performance of the orthogonal space-time block code is better than that of the non-orthogonal space-time block code; when the transmitting antenna remains unchanged, the symbol estimation performance improves with the increase of the number of receiving antennas; when the receiving antenna remains unchanged, the As the number of transmit antennas increases, the symbol estimation performance also improves.

Embodiment 3

[0124] Embodiment 3: the impact of noise on characteristic parameters

[0125] Given that N=5, the influence of the SNR on the characteristic parameters of the orthogonal space-time block codes and non-orthogonal space-time block codes is given by Figure 7 shown.

[0126] In the figure, the D and θ values ​​of the non-orthogonal space-time block codes are greater than the D and θ values ​​of the orthogonal space-time block codes, and the two basically do not overlap; with the SNR transformation, the D and θ values ​​of the orthogonal space-time block codes The θ value is basically unchanged, while the D and θ values ​​of the non-orthogonal space-time block code are changed; when the receiving antenna is unchanged and the transmitting antenna is increased, the D and θ values ​​of the non-orthogonal space-time block code also increase. Big. in addition,

[0127] Figure 7 In -b, the same signal, the same (n T , n R ), as the SNR increases, the θ value of the non-orthogona...

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Abstract

The invention relates to an underdetermined system real orthogonal space-time block code blind identification method based on robust competitive clustering, and belongs to the technical field of signal processing. The method comprises the steps of modeling a signal receiving model relevant to a virtual channel matrix, wherein the virtual channel matrix comprises space-time code information and can be used for identifying the space-time code; then carrying out blind estimation on the virtual channel matrix by using a robust competitive clustering algorithm; extracting the sparseness of the relevant matrix of the virtual channel matrix and an identification characteristic parameter of an energy ratio of non-main diagonal element energy to main diagonal element energy; and finally performing orthogonal space-time block code identification according to the parameter. By the adoption of the algorithm, a real orthogonal space-time block code signal is subjected to effective blind identification under low complexity, and the real orthogonal space-time block code signal can well work under a condition of a low input signal-to-noise ratio, so that the system performance is improved; moreover, the robust competitive clustering algorithm can be also used for carrying out blind estimation on the number of source signals, and the underdetermined system real orthogonal space-time block code blind identification method has a wide application prospect.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and relates to a blind recognition method of a real orthogonal space-time block code of an underdetermined system based on robust competitive clustering. Background technique [0002] The disadvantage of receiving diversity is that the calculation load at the receiving end is very high, which may lead to a large power consumption of the mobile station in the downlink. Diversity gains can also be obtained by using space-time coding at the transmitter, and only simple linear processing is required for decoding at the receiver. Space-time codes organically combine antenna transmit diversity technology, channel coding and modulation technology, which can effectively improve the transmission performance of fading channels. Communication signal recognition is of great significance in civil and military communications. Pass-through communication signal identification mainly includes modulati...

Claims

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Application Information

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IPC IPC(8): H04L1/06
CPCH04L1/0038
Inventor 张天骐裴光盅张刚
Owner CHONGQING UNIV OF POSTS & TELECOMM
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