KR101644562B1 - System and Method for selecting antennas based on channel scaling with decremental strategy - Google Patents

System and Method for selecting antennas based on channel scaling with decremental strategy Download PDF

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KR101644562B1
KR101644562B1 KR1020150055973A KR20150055973A KR101644562B1 KR 101644562 B1 KR101644562 B1 KR 101644562B1 KR 1020150055973 A KR1020150055973 A KR 1020150055973A KR 20150055973 A KR20150055973 A KR 20150055973A KR 101644562 B1 KR101644562 B1 KR 101644562B1
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channel
matrix
channel matrix
antenna
mrc
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김상준
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동아대학교 산학협력단
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/0848—Joint weighting
    • H04B7/0857—Joint weighting using maximum ratio combining techniques, e.g. signal-to- interference ratio [SIR], received signal strenght indication [RSS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0802—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using antenna selection
    • H04B7/0822—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using antenna selection according to predefined selection scheme

Abstract

The present invention relates to an apparatus and method for selecting an antenna based on a channel scaling based on a channel scaling algorithm based on a Decremental Strategy and employing an impulse reduction scheme having an optimal antenna selection gain and maintaining a low complexity, A first MRC processor for performing an MRC (Maximum Ratio Combining) process on an initial channel matrix, a series of processes ( N T - N S ) including channel scaling, N R x N S by Dimension of the selected antenna to a process for obtaining a channel matrix processing; N T (in the antenna selection processing; claim 2 MRC processing of the updated channel matrix at the time of the iterative process in the antenna selection processing the MRC (Maximal Ratio Combining) treatment And a final selected channel matrix outputting unit for outputting a final selected channel matrix when a repetition of N S ) is performed.

Description

Field of the Invention [0001] The present invention relates to an apparatus and method for selecting an antenna based on channel scaling,

The present invention relates to an antenna selection system, and more particularly, to an antenna selection system based on a channel scaling algorithm that utilizes a Decremental Strategy, a channel scaling-based antenna selection apparatus that adopts an impulse reduction scheme for maintaining an optimal antenna selection gain and maintaining low complexity And methods.

The next generation wireless communication system should be able to transmit high-quality, high-capacity multimedia data at high speed by using limited frequency resources.

To enable this in a bandwidth-limited radio channel, it is necessary to overcome inter-symbol interference and frequency selective fading occurring during high-speed transmission while maximizing the frequency efficiency.

One of the most developed techniques for maximizing the frequency efficiency is the Multiple Input Multiple Output (MIMO) technique.

MIMO technology can be used for two purposes. First, it can be used for the purpose of increasing the diversity gain to reduce the performance degradation due to the channel fading environment. Second, it can be used to increase the data rate in the same frequency band.

In this way, a wireless communication system using multiple antennas for a transceiver can increase the system capacity in a rich multi-path environment without increasing the bandwidth or transmission power.

However, when a large number of multiple antennas are implemented in a communication system, the complexity of the system including the RF device increases, which is accompanied with a high cost.

Therefore, an approach to reduce the hardware cost and system complexity by using multiple antennas is to use antenna selection technique. This antenna selection technique reduces the hardware complexity while at the same time securing most of the advantages provided by the MIMO system.

Recent studies on MIMO antenna selection techniques have been performed in two main directions, the first being a capacity-based algorithm that maximizes the channel capacity that can be achieved by the selected antenna subset The second category is an error-based algorithm that focuses on minimizing the system error probability when a specific signaling and transmission system is implemented.

The channel capacity formula used in the capacity-based algorithm can be generally applied to all MIMO systems regardless of what kind of signal transmission / reception scheme is actually used, but the structure of the transceiver differs under different signal transmission / reception systems Therefore, the error performance of the system can vary greatly.

That is, the error - based algorithm has better performance than the channel capacity - based algorithm in terms of minimizing the error probability of the system.

In order to obtain optimal performance when selecting an antenna, an exhaustive full search is performed on all possible combinations of the number of antennas to be selected. In this case, the computational complexity is calculated according to the number of available antennas, A phenomenon of increasing functionally occurs.

Therefore, many researchers have been interested in the development of an antenna selection algorithm that can be used as a next-best solution considering the balance between performance and complexity.

The research on antenna selection technology with low complexity is mostly based on channel capacity. Also, most algorithms are developed in Rayleigh fading channels and do not work well in multipath channels such as in UWB communications.

Recently, an algorithm based on channel scaling with very low complexity has been developed, but the number of available antennas ( N T ) and the number of selected antennas ( N S ) are two or more, or the number of multipaths used in a multipath combiner is very small There is a problem that the gain due to the antenna selection is remarkably reduced.

Korean Patent Publication No. 10-2008-0069777 Korean Patent Publication No. 10-2008-0072164

The present invention solves the problem of the prior art antenna selection method. The present invention adopts a decimation technique to maintain an optimal antenna selection gain and a low complexity based on a channel scaling algorithm using a Decremental Strategy And an object of the present invention is to provide an apparatus and method for selecting an antenna based on channel scaling.

The present invention can be applied to an antenna selection method that exhibits optimal performance even when the difference between the number of usable antennas ( N T ) and the number of selected antennas ( N S ) is two or more or the number of multipaths used in the multipath combiner is very small The present invention provides an apparatus and method for selecting an antenna based on channel scaling.

The present invention provides an apparatus and method for selecting an antenna based on a channel scaling that employs a decimation technique for improving performance of an antenna selection algorithm by applying a Decremental Strategy to a channel scaling algorithm. .

The present invention exhibits very excellent BER performance in any communication channel environment such as a Rayleigh channel, a log-normal distribution channel, an IEEE 802.30 multipath channel, a channel in which correlation exists between antennas, and the like. The Massive MIMO system, OFDM- The present invention provides an apparatus and method for selecting an antenna based on channel scaling, which employs a decimation technique to have a multi-antenna effect even in a MIMO system, an ultra-wideband communication system, and the like.

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, an apparatus for selecting an antenna based on channel scaling according to the present invention includes a number N T of available antennas, a number N S of antennas selected, a number N R of reception antennas, A first MRC processing unit for performing an MRC (Maximum Ratio Combining) process on an initial channel matrix configured in the initial channel matrix forming unit, a first MRC processing unit for forming an initial channel matrix for antenna selection under the condition of ( N T - N S ) is repeated and the column vector with the smallest signal - to - noise ratio (SNR) value obtained from the QR decomposition is repeated at each iteration to remove N R x N S Dimension of the selected antenna to a process for obtaining a channel matrix processing; N T (in the antenna selection processing; claim 2 MRC processing of the updated channel matrix at the time of the iterative process in the antenna selection processing the MRC (Maximal Ratio Combining) treatment It characterized in that it comprises a; - N S) the final selection channel matrix output unit for outputting a final selection channel matrix when the single iterations performed.

Here, the antenna selection processing unit may include a SCHUR decomposition unit for SCHUR decomposing the channel matrix subjected to the MRC process, a channel scaling unit for performing channel scaling using the channel matrix having SCHUR decomposition in the SCHUR decomposition unit, a signal- An SNR calculator for calculating a value of a signal-to-noise ratio (SNR) obtained from the QR decomposition of the QR decomposition unit, and an antenna index And a channel matrix updating unit for updating the channel matrix so that an updated matrix H having N R x ( N S +1) dimensions is used for each repeated loop.

A channel scaling-based antenna selection method adopting a diminution technique according to the present invention for achieving another object is characterized in that the number of available antennas ( N T ), the number of selected antennas ( N S ), the number of receiving antennas ( N R ) Constructing an initial channel matrix for antenna selection in a condition of performing an MRC (Maximum Ratio Combining) process on a configured initial channel matrix, repeating a sequence of N T - N S times including channel scaling, In the iterative process, the column vector with the smallest signal-to-noise ratio (SNR) value obtained from the QR decomposition is removed and N R x N S ( N T - N S ) in an antenna selection processing step, an antenna selection processing step for obtaining a channel matrix of an antenna selection process step, an MRC (Maximum Ratio Combining) process for an updated channel matrix in an iterative process in an antenna selection process step, And outputting the last selected channel matrix when the iteration process is performed.

Here, the antenna selection processing step includes a step of performing SCHUR decomposition on the MRC-processed channel matrix, channel scaling using the channel matrix with SCHUR decomposition, and QR decomposition to obtain a value of the signal-to-noise ratio (SNR) Calculating an SNR value obtained from QR decomposition; obtaining an antenna index corresponding to an antenna to be removed for each repeated loop; and calculating N R x ( N S +1) for each repeated loop, And updating the channel matrix so that an updated matrix H with dimensions is used.

An apparatus and method for selecting an antenna based on channel scaling employing the diminution technique according to the present invention has the following effects.

First, based on a channel scaling algorithm that uses a Decremental Strategy, it maintains low complexity with optimal antenna selection gain.

Second, optimal performance is achieved even when the difference between the number of available antennas ( N T ) and the number of selected antennas ( N S ) is two or more, or the number of multipaths used in the multipath combiner is very small.

Thirdly, in the communication system using the transmitting and receiving multi-antennas, the multi-antenna gain can be used as it is while reducing the cost in actual implementation.

Fourth, it exhibits very excellent BER performance in any communication channel environment, and also has multi-antenna effect in Massive MIMO system, OFDM-MIMO system, and UWB communication system, which are next generation wireless communication technologies.

Fifth, even when there is a channel estimation error, excellent performance can be obtained.

FIG. 1A is a block diagram of an apparatus for selecting an antenna based on channel scaling employing the diminution technique according to the present invention
1B is a detailed configuration diagram of an antenna selection processing unit according to the present invention.
FIG. 2 is a flowchart illustrating an antenna selection method based on channel scaling employing the diminution technique according to the present invention.
FIG. 3 is a block diagram of a pseudo-code

Hereinafter, a preferred embodiment of an apparatus and method for selecting an antenna based on channel scaling employing the diminution technique according to the present invention will be described in detail.

Features and advantages of an apparatus and method for selecting an antenna based on channel scaling that employs the diminution technique according to the present invention will be apparent from the following detailed description of each embodiment.

FIG. 1A is a configuration diagram of a channel scaling-based antenna selection apparatus employing a diminution technique according to the present invention, and FIG. 1B is a detailed configuration diagram of an antenna selection processing unit according to the present invention.

The present invention is based on a channel scaling algorithm that uses a Decremental Strategy to maintain an optimal antenna selection gain and a low complexity. The present invention is characterized in that the number of usable antennas ( N T ) and the number of selected antennas ( N S ) And to provide an antenna selection method that exhibits optimal performance even when there are two or more differences or when the number of multipaths used in a multipath combiner is very small.

Of diminishing techniques as in the channel scaling based on the antenna selection device Figure 1a, adopting, number of available antennas (N T) and the antenna number (N S), the receiving antenna can (N R) is selected in accordance with the present invention An initial channel matrix constructing section 10 for constructing an initial channel matrix for antenna selection under the condition of the initial channel matrix forming section 10 and a first MRC processing section for performing an MRC (Maximal Ratio Combining) (SNR) from the QR decomposition is repeated at each iteration of the sequence including the channel scaling ( N T - N S ) N R x N S by antennas And a second MRC processor 40 for performing an MRC (Maximal Ratio Combining) process on the updated channel matrix at the time of repetition in the antenna selection processor 30, And a final selected channel matrix output unit 50 for outputting a final selected channel matrix when an iteration process of ( N T - N S ) times is performed in the antenna selection processing unit 30.

The antenna selection processing unit 30 includes a SCHUR decomposition unit 31 for SCHUR decomposing the channel matrix subjected to the MRC processing and a channel scaling unit for performing channel scaling using the channel matrix having SCHUR decomposition in the SCHUR decomposition unit 31 And a QR decomposition unit 33 for performing QR decomposition to obtain a value of a signal-to-noise ratio (SNR), and an SNR calculation unit 33 for calculating a value of a signal-to- An antenna index processing unit 35 for obtaining an antenna index corresponding to an antenna to be removed for each repeated loop, and an updated matrix H having N R x ( N S +1) dimensions for each repeated loop And a channel matrix updating unit 36 for updating the channel matrix to be used.

The present invention with such a configuration is directed to antenna selection based on enhanced channel scaling combined with a decimation technique wherein the first channel matrix used in the Decremental Strategy

Figure 112015038684133-pat00001
to be.

Also, H updated in the ( N T - N S ) loop uses a matrix with the same N R x ( N S +1) dimensions per loop.

That is, one more column vector components are used than the number of column vectors of the selected channel matrix of dimension N R x N S required after the last antenna selection.

The matrix used in the kth loop is:

Figure 112015038684133-pat00002

here

Figure 112015038684133-pat00003
Is the index corresponding to the antenna removed in each loop.

Then, the SNR value is obtained through the SCHUR decomposition, the channel scaling and the QR decomposition process for each loop, and the approach to remove the antenna with the least contribution is performed.

At this time, a matrix H having N R x ( N S +1) dimensions updated for each loop

Figure 112015038684133-pat00004
The MRC (Maximal Ratio Combining) is performed to perform the SCHUR decomposition.

Channel scaling is performed for a fixed integer n using a unitary matrix U obtained by SCHUR decomposition and a quasitriangular Schur matrix T,

Figure 112015038684133-pat00005
To minimize the Condition Number.

This minimization process not only maximizes the maximum capacity of the channel but also enhances the BER performance.

After the channel scaling process, QR decomposition is performed to obtain SNR values using eigenvalues.

FIG. 2 shows a flow of an antenna selection method based on channel scaling employing an impulse technique, where N T denotes the number of available transmit antennas and N S (< N T ) denotes the number of antennas to be selected.

Figure 112015038684133-pat00006
Represents the t (= 1, 2, ..., N T ) th column of the channel matrix H having the dimension N R x ( N S +1).

H p is the channel matrix of the dimension by the finally selected antenna. Where N R is the number of receive antennas and SNR is the signal to noise ratio.

Significant performance degradation occurs when the difference between the number of available antennas ( N T ) and the number of selected antennas ( N S ) is more than two, or the number of multipaths used in the multipath combiner is very small. To solve this problem, the present invention introduces a diminution technique.

Specifically, the channel scaling-based antenna selection method adopting the diminution technique according to the present invention is characterized in that the number of usable antennas ( N T ), the number of selected antennas ( N S ), the number of receiving antennas ( N R ) Constitute an initial channel matrix for antenna selection (S201)

Next, the configured initial channel matrix is subjected to MRC (Maximal Ratio Combining) processing (S202)

( N T - N S ) times, which is the channel scaling, and the column vector with the smallest signal - to - noise ratio (SNR) By N R x N S Dimensional channel matrixes (S203 to S207).

Then, in an iterative process in the antenna selection process step, the updated channel matrix is subjected to an MRC (Maximal Ratio Combining) process (S208)

If an iterative process ( N T - N S ) is performed in the antenna selection process (S209) (S210), the last selected channel matrix is output (S211)

Here, the antenna selection process step includes a step S203 of performing SCHUR decomposition on the channel matrix subjected to the MRC process, a step S204 of performing channel scaling using the channel matrix on which the SCHUR decomposition is performed, a value of the SNR (S205) of performing a QR decomposition for obtaining QR decomposition and calculating a value of a signal-to-noise ratio (SNR) obtained from QR decomposition, a step S206 of obtaining an antenna index corresponding to an antenna removed for each repeated loop, And updating (S207) the channel matrix so that an updated matrix H with N R x ( N S +1) dimensions is used for each loop being looped.

Specifically, the entire communication channel

Figure 112015038684133-pat00007
silver
Figure 112015038684133-pat00008
.

here,

Figure 112015038684133-pat00009
Represents a t (= 1, 2, ..., N T ) th column vector of the channel matrix H.

The first channel matrix H used in the antenna selection algorithm of the present invention is

Figure 112015038684133-pat00010
together with
Figure 112015038684133-pat00011
Dimensional matrix.

Here, it is important that the number of heat vectors of H is larger than the number N S of antennas to be selected.

N R x N S by finally selected antennas In order to obtain the channel matrix of dimension, a series of processes including channel scaling is repeated ( N T - N S ) as shown in FIG.

At each repetition, an updated matrix H with N R x ( N S +1) dimensions is used.

Here, the column vector having the smallest signal-to-noise ratio (SNR) value obtained from the QR decomposition is removed at each iteration.

After one column vector is removed, the last column vectors that have not yet been used in the calculation process are added one by one to the next channel matrix.

This way one antenna is removed per loop.

FIG. 3 shows a specific flow procedure of the algorithm shown in FIG. 2 using a pseudo-code.

The antenna selection method based on channel scaling, which employs the diminution technique as in the present invention, has a better antenna selection gain than the conventional channel scaling based antenna selection method, and the optimal bit error rate (BER) BER) performance.

In FIG. 3, line 1 denotes an initial channel matrix, 2 denotes MRC (Maximal Ratio Combining), 3 denotes an iterative loop, 4 denotes SCHUR decomposition, 5 denotes channel scaling, (7) is the SNR calculation, (8) is the elimination of the antenna index, (9) is the channel matrix update, (10) is the MRC (Maximal Ratio Combining) Represents the panel matrix by the selected antenna.

Antenna selection technique that reduces the increase of hardware complexity by multiple antennas is an attractive task in MIMO wireless / mobile communication field.

These topics not only apply to the next generation wireless / mobile communication fields including Massive MIMO technology, but also have advantages that can be easily applied to any channel environment. Therefore, it can be simply applied to ultra-wideband communication.

The present invention can be easily applied in the same manner not only in selecting a transmission antenna but also in selecting a reception antenna.

As described above, an apparatus and method for selecting an antenna based on a channel scaling method employing a diminution technique according to the present invention can be applied to a channel scaling algorithm to improve performance of an antenna selection algorithm. It is.

Also, the present invention shows very excellent BER performance in any communication channel environment such as Rayleigh channel, log normal distribution channel, IEEE 802.30 multipath channel, and channel in which there is correlation between antennas, and can be applied to Massive MIMO system, OFDM-MIMO system, and ultra-wideband communication system.

As described above, it will be understood that the present invention is implemented in a modified form without departing from the essential characteristics of the present invention.

It is therefore to be understood that the specified embodiments are to be considered in an illustrative rather than a restrictive sense and that the scope of the invention is indicated by the appended claims rather than by the foregoing description and that all such differences falling within the scope of equivalents thereof are intended to be embraced therein It should be interpreted.

10. Initial Channel Matrix Construction Unit 20. The first MRC processing unit
30. Antenna selection processing section 40. Second MRC processing section
50. Last selected channel matrix output unit

Claims (9)

An initial channel matrix constituting an initial channel matrix for antenna selection under the condition of the number of usable antennas ( N T ), the number of selected antennas ( N S ), and the number of receiving antennas ( N R );
A first MRC processor for performing an MRC (Maximum Ratio Combining) process on an initial channel matrix configured in the initial channel matrix generator;
SCHR decomposes the channel matrix MRC processed by the first MRC processor and performs channel scaling on a fixed integer n using a unitary matrix U and a quasitriangular Schur matrix T obtained through SCHUR decomposition to obtain a matrix
Figure 112016044009042-pat00026
( N T - N S ) times with channel scaling is minimized by minimizing the number of condition numbers in the sequence number ( N T - N S ), and the minimum SNR value obtained from the QR decomposition By removing the vector N R x N S by the finally selected antennas An antenna selection processing unit for performing a process for obtaining a channel matrix of a dimension;
A second MRC processor for performing an MRC (Maximal Ratio Combining) process on the updated channel matrix in an iterative process in the antenna selection processor;
And a final selected channel matrix output unit for outputting a final selected channel matrix when an iteration process of ( N T - N S ) is performed in the antenna selection processing unit. . The antenna selection apparatus according to claim 1,
A SCHUR decomposition unit for SCHUR-decomposing the MRC-processed channel matrix,
A channel scaling unit for performing channel scaling using the channel matrix having SCHUR decomposition in the SCHUR decomposition unit,
A QR decomposition unit for performing QR decomposition for obtaining a value of a signal-to-noise ratio (SNR)
An SNR calculation section for calculating a value of a signal-to-noise ratio (SNR) obtained from the QR decomposition of the QR decomposition section;
An antenna index processing unit for obtaining an antenna index corresponding to an antenna to be removed for each repeated loop,
And a channel matrix updating unit for updating the channel matrix so that an updated matrix H having N R x ( N S +1) dimensions is used for each loop repeated every time a channel scaling based antenna selection Device. 2. The method of claim 1, wherein the initial channel matrix for antenna selection comprises:
Figure 112015038684133-pat00012
ego,
Wherein the H updated in the ( N T - N S ) loop uses a matrix having the same N R x ( N S +1) dimension for each loop. . 3. The method of claim 2, wherein the matrix used in the k &lt;
Figure 112015038684133-pat00013
ego,
here
Figure 112015038684133-pat00014
Is an index corresponding to an antenna to be removed in each loop. &Lt; RTI ID = 0.0 &gt; [10] &lt; / RTI &gt; 3. The method of claim 2, further comprising: updating the matrix H with N R x ( N S +1) dimensions updated for each loop
Figure 112015038684133-pat00015
The MRC (Maximal Ratio Combining) is performed to perform SCHUR decomposition,
Channel scaling is performed for a fixed integer n using a unitary matrix U obtained by SCHUR decomposition and a quasitriangular Schur matrix T,
Figure 112015038684133-pat00016
Wherein the condition number of the antenna is minimized. Constructing an initial channel matrix for antenna selection on the condition of the number N T of usable antennas, the number of selected antennas N S , and the number of receiving antennas N R ;
Performing an MRC (Maximum Ratio Combining) process on the configured initial channel matrix;
The MRC-processed channel matrix is SCHUR decomposed, channel scaling is performed for a fixed integer n using a unitary matrix U obtained by SCHUR decomposition and a quasitriangular Schur matrix T,
Figure 112016044009042-pat00027
( N T - N S ) times with channel scaling is minimized by minimizing the number of condition numbers in the sequence number ( N T - N S ), and the minimum SNR value obtained from the QR decomposition By removing the vector N R x N S by the finally selected antennas An antenna selection processing step for obtaining a channel matrix of a dimension;
Performing an MRC (Maximal Ratio Combining) process on an updated channel matrix at an iterative process in an antenna selection process step;
And outputting a final selected channel matrix if ( N T - N S ) times are repeated in an antenna selection process step. 7. The method of claim 6,
SCHUR decomposing the MRC processed channel matrix;
Performing channel scaling using a channel matrix with SCHUR decomposition,
Performing a QR decomposition to obtain a value of a signal-to-noise ratio (SNR) and calculating a value of a signal-to-noise ratio (SNR) obtained from the QR decomposition,
Obtaining an antenna index corresponding to an antenna to be removed for each repeated loop;
And updating the channel matrix so that an updated matrix H with N R x ( N S +1) dimensions is used for each iteration of each iteration of the channel matrix. The method as claimed in claim 6,
Figure 112015038684133-pat00017
silver
Figure 112015038684133-pat00018
Lt; / RTI &gt;
Figure 112015038684133-pat00019
Is the channel matrix, H t (= 1,2, ..., N T) th column (column) vector, and the first channel matrix H is
Figure 112015038684133-pat00020
together with
Figure 112015038684133-pat00021
Dimensional antenna with a plurality of antennas. The antenna selection method is based on channel scaling. 10. The method of claim 8, wherein the number of the antenna to the number of column vectors of the H to select one or more large N S, and
After one row vector is removed for each loop, the column vectors of the latter half, which have not yet been used in the calculation process, are added to the entire channel matrix one by one in order, and one antenna is removed for each loop. An Antenna Selection Method Based on Channel Scaling Using Decimation Techniques.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110912585A (en) * 2019-12-05 2020-03-24 电子科技大学 Antenna selection method based on channel factors

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080069777A (en) 2007-01-24 2008-07-29 엘지전자 주식회사 Method for selecting antenna in mimo system
KR20080072164A (en) 2007-02-01 2008-08-06 엘지전자 주식회사 Method for selecting antenna of mimo system and transmitter
KR20090037271A (en) * 2007-10-10 2009-04-15 삼성전자주식회사 Apparatus and method for calculating channel quality information per stream in multiple input multiple output wireless communication system
KR101482925B1 (en) * 2013-07-05 2015-01-14 한국과학기술원 Zero-forcing Beamformer Design Device and Method in MISO Broadcast Channel Based on k-regularity

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080069777A (en) 2007-01-24 2008-07-29 엘지전자 주식회사 Method for selecting antenna in mimo system
KR20080072164A (en) 2007-02-01 2008-08-06 엘지전자 주식회사 Method for selecting antenna of mimo system and transmitter
KR20090037271A (en) * 2007-10-10 2009-04-15 삼성전자주식회사 Apparatus and method for calculating channel quality information per stream in multiple input multiple output wireless communication system
KR101482925B1 (en) * 2013-07-05 2015-01-14 한국과학기술원 Zero-forcing Beamformer Design Device and Method in MISO Broadcast Channel Based on k-regularity

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Sangchoon Kim, "Error Performance of Spatial-temporal Combining-based Spatial Multiplexing UWB Systems Using Transmit Antenna Selection", Journal of information and communication convergence engineeri *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110912585A (en) * 2019-12-05 2020-03-24 电子科技大学 Antenna selection method based on channel factors

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