CN113114393A - Low-complexity detection method, reader-writer and system for environmental backscatter communication based on index modulation under multi-access channel - Google Patents
Low-complexity detection method, reader-writer and system for environmental backscatter communication based on index modulation under multi-access channel Download PDFInfo
- Publication number
- CN113114393A CN113114393A CN202110330664.4A CN202110330664A CN113114393A CN 113114393 A CN113114393 A CN 113114393A CN 202110330664 A CN202110330664 A CN 202110330664A CN 113114393 A CN113114393 A CN 113114393A
- Authority
- CN
- China
- Prior art keywords
- information
- modulation
- index
- reader
- communication signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
- G06K7/10297—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092
Abstract
The invention discloses a low-complexity detection method, a reader-writer and a system for environment backscatter communication based on index modulation under a multi-access channel. The invention can analyze the modulation information and the index information from the communication signal which is sent by the index modulation label and reflects the environment radio frequency signal under the multi-access channel, thereby distinguishing the information sent by each antenna, effectively dealing with the condition that the information transmission processes of the multi-channel conflict with each other, and effectively realizing the access of the multi-label. The invention has the advantages of lower computational complexity, lower performance requirement on hardware, lower use cost and wider application scene. The invention is widely applied to the technical field of environmental backscattering communication.
Description
Technical Field
The invention relates to the technical field of environment backscatter communication, in particular to a low-complexity detection method, a reader-writer and a system for environment backscatter communication based on index modulation under a multi-access channel.
Background
The basic principle of ambient backscatter communication is: the label expresses different bit information by reflecting the environment radio frequency signal and absorbing the environment radio frequency signal, and the reader-writer determines the information sent by the label by detecting the reflection condition of the label to the environment radio frequency signal, thereby finishing the transmission of the information. The tag does not need to consume electric power when transmitting information to the reader-writer, and can acquire energy from the environment radio frequency signal to supply power to the tag, so that the tag has strong cruising ability. In the face of mass access requirements of application scenes such as the Internet of things, an environment backscatter communication network needs to have multiple tags simultaneously accessed, in order to improve communication speed, multiple antennas are arranged on each tag, and low-power-consumption tags can generate the problems of coupling and synchronization among the multiple antennas, so that information transmission processes of different antennas conflict with each other, and the improvement of the communication speed is restricted. The environmental backscattering communication based on index modulation can effectively solve the problems of coupling and synchronization among multiple antennae, but the existing environmental backscattering communication based on index modulation multi-label access adopts maximum likelihood detection, has extremely high computational complexity and has low feasibility in practical application scenes.
Disclosure of Invention
In view of at least one of the above technical problems, an object of the present invention is to provide a low complexity detection method, a reader/writer, and a system for index modulation based environmental backscatter communication under multiple access channels.
In one aspect, an embodiment of the present invention includes a low complexity detection method for index modulation based environmental backscatter communication under multiple access channels, including:
acquiring a communication signal; the communication signal is sent by reflecting an environment radio frequency signal under a multi-access channel by at least two tags adopting index modulation, and the communication signal comprises modulation information and index information;
and detecting the communication signal based on multi-user sparse Bayesian learning, and acquiring the modulation information and the index information from the communication signal.
Further, the performing, based on the multi-user sparse bayesian learning, detection on the communication signal to obtain the modulation information and the index information from the communication signal includes:
obtaining an iteration stop threshold value delta, a maximum iteration number T, a label number K, an antenna number K.NT and a channel matrix H; the number of the tags is the total number of all the tags sending the communication signals, the number of the antennas is the total number of the antennas included in all the tags sending the communication signals, and the channel matrix is a joint matrix formed by channel information corresponding to all the tags sending the communication signals to a receiver and a radio frequency source to the receiver;
performing at least one iterative process; using gamma ← 1 in the first iteration process1×(K·NT+1),j←0,μ←01 ×(K·NT+1)Carrying out hyper-parameter initialization, wherein gamma, j and mu are the hyper-parameters; during each of said iterations, to
Performing a hyper-parameter update, wherein K.NT represents the number of antennas,
the ith element of the over parameter gamma before updating in the iteration process,
the ith element of the hyperparameter gamma which is updated in the iteration process at this time,
is the variance of noise in the communication signal; the termination condition of the iteration process is that the number of executed iteration processes reaches the maximum iteration number, or the variation value of the over-parameter gamma is smaller than the iteration stop threshold value;
obtaining the result obtained by updating the hyper-parameter gamma in the last iteration process
Will be provided with
Element (1) of
To the elements
Dividing the tags into K groups, wherein the number of elements contained in each group is respectively equal to the number of antennas corresponding to each tag, and the serial numbers of the elements contained in each group are continuous;
obtaining index information
Wherein the content of the first and second substances,
presentation pair
The position of the maximum value in the kth group element in the K groups of elements;
according to the index information
Determining channel information corresponding to all activated antennas in relation to the channel matrix H
According to the channel information
Carrying out zero forcing detection on the communication signal to obtain a modulation symbol vector;
and acquiring corresponding modulation bits and index bits according to the index information and the modulation symbol vectors.
Further, the method is based on the channel information
Performing zero-forcing detection on the communication signal to obtain modulation symbol vectors on all activated antennas, wherein the formula is
Wherein y (n) is the communication signal,
is the modulation symbol vector.
Further, obtaining corresponding modulation bits and index bits according to the index information and the modulation symbol vector, including:
vector the modulation symbols
Is divided by the modulation symbol vector
Obtaining a plurality of quotient values;
and finding out the quotient value at the corresponding position according to the index information, and using the quotient value as the modulation information corresponding to the index information.
On the other hand, the embodiment of the present invention further includes a reader, where the reader is configured to execute a low-complexity detection method for index modulation based environment backscatter communication in multiple access channels in the embodiment.
On the other hand, the embodiment of the invention also comprises a communication system which comprises at least two labels adopting index modulation and the reader-writer in one embodiment, wherein the reader-writer is in wireless connection with the labels.
Further, the tag adopting index modulation reflects an environmental radio frequency signal under a multi-access channel to send out a communication signal.
The invention has the beneficial effects that: the reader-writer in the embodiment can acquire the communication signal sent by the label through index modulation in the multi-access channel to reflect the environment radio frequency signal, and analyzes the modulation information and the index information from the communication signal, so that the information sent by each antenna is distinguished, the condition that the information transmission processes of different antennas and multi-channels conflict with each other is effectively solved, and the multi-label access is effectively realized. Compared with the prior art using maximum likelihood detection, the technical scheme in the embodiment has lower computational complexity and lower performance requirement on hardware, thereby having lower use cost and wider application scenes.
Drawings
FIG. 1 is a schematic diagram showing the connection between a tag and a reader/writer in the embodiment;
FIG. 2 is a schematic diagram of a tag based on index modulation in an embodiment;
fig. 3 is a schematic diagram of a reader/writer in the embodiment.
Detailed Description
In the present embodiment, a communication system shown in fig. 1 will be described. In fig. 1,1 reader/writer (reader/writer for short) and K tags are provided, and the 1 reader/writer and the K tags form an index modulation-based environment backscatter communication system. The K tags can simultaneously transmit respective information to the reader/writer.
In this embodiment, the reader/writer is provided with NR antennas, each tag includes a plurality of antennas, and each tag shown in fig. 1 includes NT antennas. Since the technical solution of this embodiment can solve the coupling and synchronization problem among the multiple antennas of the tag, if there is no special description, the separate reference to "antenna" in this embodiment refers to an antenna on the tag.
In this embodiment, each tag may execute the same or similar data processing procedure when sending information to the reader/writer, so that only the data processing procedure when one tag sends information to the reader/writer may be described. The working principle of each tag is shown in fig. 2.
When the tag needs to send information to the reader-writer, the tag can acquire the information which needs to be sent to the reader-writer, and the part of information can be serial information acquired from the internet of things equipment. In the embodiment, the serial information is segmented according to a fixed length, that is, the segmentation result is a plurality of groups of information with the same specific bit number, that is, modulation information.
In this embodiment, each bit in the modulation information is referred to as a modulation bit, and each piece of modulation information has a length of Y, that is, each piece of modulation information includes Y modulation bits. Y may be determined by a modulation technique used when the antenna is modulated by using the information block in the subsequent step, for example, the antenna is modulated by using a symbol modulation scheme such as BPSK, the order of the symbol modulation scheme is 1, and Y may be set to 1, that is, each piece of modulation information includes 1 modulation bit.
In this embodiment, the tag may determine one antenna to be used, that is, a working antenna, in each antenna according to the index bit. After the working antenna is selected, the tag may transmit modulated information using the selected working antenna.
In this embodiment, when the index information may be represented as a binary number, the index information includes a plurality of index bits, and the length of each index information is M, that is, 1 index information includes M index bits, where M is a logarithm of the base 2 of the number of antennas included in the tag. In this embodiment, the number of antennas on each tag is limited to an integral power of 2, e.g., a tag may include 2, 4, 8, or 16 antennas. For example, if 1 tag includes 4 antennas, then M ═ 2, i.e., 1 index information includes 2 index bits; .
When the tag sends information to the reader-writer, the antenna on the tag receives an environment radio frequency signal sent by an environment radio frequency source. And under the modulation of the information block, the tag controls an antenna corresponding to the index information, namely a working antenna, to reflect the ambient radio-frequency signal. Specifically, the tag reads bits in the information block bit by bit, for example, when Y is 2, that is, each piece of modulation information includes 2 modulation bits, the tag reads two bits at a time, the read information bit may be 00, 01, 10, or 11, these four cases correspond to different impedances, respectively, and the tag selects the corresponding impedance according to the two read bits to reflect the ambient radio frequency signal. Will be the kthThe nth modulation symbol transmitted by the tag is denoted as ck(n), the environmental RF signal is denoted as s (n), then the nth signal sent by the kth tag to the reader/writer is equivalent to s (n) & ck(n)。
In this embodiment, the information sent by the tag to the reader/writer includes index information and modulation information, where the modulation information is information sent by the tag to the reader/writer according to the information transfer task, and the index information is information indicating from which antenna of the tag the modulation information is sent. Since the channels of different activated antennas are independent from each other in this embodiment, the reader/writer can resolve the index information and the modulation information from the received information, so as to distinguish the information sent by each antenna, effectively cope with the situation that the information transmission processes of different antennas conflict with each other, and effectively implement multi-tag access.
In this embodiment, the reader-writer receives information sent by a plurality of tags at the same time, and the information received at the reader-writer is collectively referred to as a communication signal. The reader-writer can detect the communication signals based on multi-user sparse Bayesian learning, so that the information sent by each antenna on each label is distinguished, and the modulation information is identified from the communication signals.
In this embodiment, the reader/writer stores parameters such as an iteration stop threshold δ, a maximum iteration number T, a tag number K, an antenna number K · NT, and a channel matrix H in a local memory, and these parameters are called when performing detection based on the multiuser sparse bayesian learning.
Specifically, the number K of tags is the total number of all tags connected to the reader/writer, or the total number of all tags capable of transmitting information to the reader/writer. In the case shown in fig. 1, each tag includes NT antennas, and therefore K · NT obtained by multiplying K and NT is the total number of antennas included in all tags.
Specifically, the reader/writer stores channel information parameters for communicating with each tag, and the channel information parameters of each tag and the environmental radio frequency source are combined together according to a sequence determined by a tag number and the like to form a channel matrix H. I.e. one row, one column or one sub-matrix in the channel matrix H is the channel information parameter of a certain tag or an ambient radio frequency source.
In this embodiment, the principle that the reader performs detection based on the multi-user sparse bayesian learning on the communication signal and acquires the index information and the modulation information from the communication signal is shown in fig. 3.
And after the reader-writer acquires the received information, executing at least one iteration process. In the first iteration process, the reader-writer sets hyper-parameters such as gamma, j, mu and the like, and the hyper-parameters are processed through gamma ← 11×(K·NT+1),j←0,μ←01×(K·NT+1)These hyper-parameters are initialized. In each iteration process including the first iteration process, the reader updates the hyper-parameter γ, specifically, a formula used in each iteration is as follows:
Γ＝diag{γi}(i＝1,2,…,K·NT+1)。
in the above-mentioned formula,
the ith element of the over-parameter gamma before updating in the iteration process,
the ith element, mu, of the hyperparameter gamma updated in the current iteration processiThe ith element of the hyper-parameter mu in the iteration process is shown,
represents μiConjugate transpose ofAnd H represents a channel matrix,
for variance of noise in the communication signal, diag denotes a diagonalization operation, Σi,iRepresents sigmayIs diagonal element of (1), sigma-1 yRepresents sigmayThe inverse matrix of (c).
The termination condition of the iteration process is that the number of executed iteration processes reaches the maximum iteration number, or the variation value of the over-parameter gamma is smaller than the iteration stop threshold value. Specifically, it may be checked whether the number of currently executed iterative processes reaches the maximum iterative number when each iterative process starts, and if the number of currently executed iterative processes reaches the maximum iterative number, the current iterative process and subsequent iterative processes are not executed again, where the last iterative process is the last iterative process executed; and if the number of the currently executed iteration processes does not reach the maximum iteration times, executing the iteration process, and adding 1 to the number of the executed iteration processes after executing the main data processing process in the iteration process. When each iteration process is executed, firstly recording the updated hyper-parameter gamma, subtracting the updated hyper-parameter gamma from the updated hyper-parameter gamma to obtain delta u, if the change of the updated hyper-parameter gamma relative to the updated hyper-parameter gamma is smaller than an iteration stop threshold delta, namely delta u < delta, then not executing the subsequent iteration process, taking the iteration process executed this time as the last iteration process executed, otherwise, executing the subsequent iteration process.
In this embodiment, after the iteration end condition is satisfied, the result obtained by updating the hyper-parameter γ in the last iteration process is obtained, which may be expressed as
The reader-writer will
Element (1) of
To the elements
And dividing the tags into K groups, so that the number of elements contained in each group is respectively equal to the number of antennas corresponding to each tag, and the serial numbers of the elements contained in each group are continuous. For example, in the case where each tag includes NT antennas, respectively, it is possible to configure the tag to include NT antennas
In addition to
Other elements are divided into K groups to obtain
In pair
And after grouping is completed, acquiring index information. The index information can be expressed in the form of a vector, the first element of the index information is 1, and the values of other elements correspond to the position sequence of the index information
The order of the maxima in the group in the same order in the group. For example, the index information is recorded as
Then
Presentation pair
And in the divided K groups of elements, the maximum value in the kth group of elements is at the position in the kth group of elements. E.g. for being divided into K groups
Wherein from
The k-th group counted from the beginning of this group is
If the maximum value in the k-th group is
That is, the maximum value in the kth group is the 1 st element in the kth group, where NT is assumed to be 4, then the maximum value in the kth group may be
Expressed by 2 index bits, then
Thereby resolving the index bit sent by the kth tag. In another example, if
Is specifically [0.01,1,0.02 ]]Then the maximum value in the kth group is the 2 nd element in the kth group, assuming NT is 4 here, then it would be possible to use
Expressed by 2 index bits, then
Thereby resolving the index bit sent by the kth tag.
According to the index information
It can know which antennas the communication signal comes from, and find out the channel information corresponding to these antennas from the channel matrix H, i.e. the corresponding rows, columns or submatrixes, thereby forming the channel information
In this embodiment, the communication signal is denoted as y (n) by the formula
According to channel information
Zero-forcing detection is performed on the communication signal y (n) to obtain a modulation symbol vector
Vector of modulation symbols
Can be expressed as
Where s (n) represents an ambient radio frequency signal, cK(n) denotes the nth bit sent by the kth tag, and thus the symbol vector will be modulated
Each element in (1) is divided by a modulation symbol vector
I.e. the vector of modulation symbols
The quotient of the division of each element in (1) by s (n) is [1, c ]1(n),c2(n),…,cK(n)]Thereby analyzing the modulation information cK(n), etc. Quotient [1, c ]1(n),c2(n),…,cK(n)]And
in which the same position elements, except the respective 1 st element, are in the same information block, respectivelyThe index information and the modulation information, therefore, the reader-writer can recover the index information and the modulation information in each information block, can obtain the modulation information transmitted by each tag, and can identify which antenna is transmitted according to the corresponding index information.
In this embodiment, the reader/writer can parse index information and modulation information from information transmitted by a plurality of tags, where the modulation information is information transmitted by the tags to the reader/writer according to the information transfer task, and the index information is information indicating from which antenna of the tag the modulation information is transmitted. Since the channels of different activated antennas are independent from each other in this embodiment, the reader/writer can resolve the index information and the modulation information from the received information, so as to distinguish the information sent by each antenna, effectively cope with the situation that the information transmission processes of different antennas conflict with each other, and effectively implement multi-tag access.
With the tags and the reader-writer based on index modulation in this embodiment, the reader-writer is set to receive the state of the environment radio frequency signal reflected by each tag, so as to establish wireless connection between the reader-writer and each tag, and an environment backscatter communication system based on index modulation can be formed. In the index modulation-based environmental backscatter communication system, a reader/writer can parse index information and modulation information from information transmitted from a plurality of tags, wherein the modulation information is information transmitted from the tags to the reader/writer according to an information transfer task, and the index information is information indicating from which antenna of the tags the modulation information is transmitted. Since the channels of different activated antennas are independent from each other in this embodiment, the reader/writer can resolve the index information and the modulation information from the received information, so as to distinguish the information sent by each antenna, effectively cope with the situation that the information transmission processes of different antennas conflict with each other, and effectively implement multi-tag access.
It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. Furthermore, the descriptions of upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of the constituent parts of the present disclosure in the drawings. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In addition, unless defined otherwise, all technical and scientific terms used in this example have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this embodiment, the term "and/or" includes any combination of one or more of the associated listed items.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as "or the like") provided with this embodiment is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object terminal oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, operations of processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described in this embodiment (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described in this embodiment includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described in the present embodiment to convert the input data to generate output data that is stored to a non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the present invention, the transformed data represents a physical and tangible target terminal, including a particular visual depiction of the physical and tangible target terminal produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (7)
1. A low complexity detection method under a multi-access channel for environmental backscatter communication based on index modulation is characterized by comprising the following steps:
acquiring a communication signal; the communication signal is sent by reflecting an environment radio frequency signal under a multi-access channel by at least two tags adopting index modulation, and the communication signal comprises modulation information and index information;
and detecting the communication signal based on multi-user sparse Bayesian learning, and acquiring the modulation information and the index information from the communication signal.
2. The method of claim 1, wherein the detecting the communication signal based on the multi-user sparse bayesian learning, and obtaining the modulation information and the index information from the communication signal comprises:
obtaining an iteration stop threshold value delta, a maximum iteration number T, a label number K, an antenna number K.NT and a channel matrix H; the number of the tags is the total number of all the tags sending the communication signals, the number of the antennas is the total number of the antennas included in all the tags sending the communication signals, and the channel matrix is a joint matrix formed by channel information corresponding to all the tags sending the communication signals to a receiver and a radio frequency source to the receiver;
performing at least one iterative process; using gamma ← 1 in the first iteration process1×(K·NT+1),j←0,μ←01 ×(K·NT+1)Carrying out hyper-parameter initialization, wherein gamma, j and mu are the hyper-parameters; during each of said iterations, to
Γ＝diag{γi}(i＝1,2,…,K·NT+1)，
Performing a hyper-parameter update, wherein K.NT represents the number of antennas,
the ith element of the over parameter gamma before updating in the iteration process,
the ith element of the hyperparameter gamma which is updated in the iteration process at this time,
is the variance of noise in the communication signal; the termination condition of the iteration process is that the number of executed iteration processes reaches the maximum iteration number, or the variation value of the over-parameter gamma is smaller than the iteration stop threshold value;
obtaining the result obtained by updating the hyper-parameter gamma in the last iteration process
Will be provided with
Element (1) of
To the elements
Dividing the tags into K groups, wherein the number of elements contained in each group is respectively equal to the number of antennas corresponding to each tag, and the serial numbers of the elements contained in each group are continuous;
obtaining index information
Wherein the content of the first and second substances,
presentation pair
The position of the maximum value in the kth group element in the K groups of elements;
according to the index information
Determining channel information corresponding to all activated antennas in relation to the channel matrix H
According to the channel information
Carrying out zero forcing detection on the communication signal to obtain a modulation symbol vector;
and acquiring corresponding modulation bits and index bits according to the index information and the modulation symbol vectors.
3. The method of claim 2, wherein the index modulation based environmental backscatter communication is based on a low complexity detection method for multiple access channelsThe channel information
Performing zero-forcing detection on the communication signal to obtain modulation symbol vectors on all activated antennas, wherein the formula is
Wherein y (n) is the communication signal,
is the modulation symbol vector.
4. The method of claim 3, wherein obtaining the corresponding modulation bits and index bits according to the index information and the modulation symbol vector comprises:
vector the modulation symbols
Is divided by the modulation symbol vector
Obtaining a plurality of quotient values;
and finding out the quotient value at the corresponding position according to the index information, and using the quotient value as the modulation information corresponding to the index information.
5. A reader/writer for performing the method of any of claims 1-4 for low complexity detection in multiple access channels for index modulation based ambient backscatter communication.
6. A communication system comprising at least two tags using index modulation and a reader/writer according to claim 5, said reader/writer being wirelessly connected to said tags.
7. The communication system of claim 6, wherein the tag using index modulation reflects an ambient radio frequency signal in a multiple access channel to thereby transmit the communication signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110330664.4A CN113114393B (en) | 2021-03-26 | 2021-03-26 | Low-complexity detection method, reader-writer and system for environmental backscatter communication based on index modulation under multi-access channel |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110330664.4A CN113114393B (en) | 2021-03-26 | 2021-03-26 | Low-complexity detection method, reader-writer and system for environmental backscatter communication based on index modulation under multi-access channel |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113114393A true CN113114393A (en) | 2021-07-13 |
| CN113114393B CN113114393B (en) | 2022-04-22 |
Family
ID=76712664
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110330664.4A Active CN113114393B (en) | 2021-03-26 | 2021-03-26 | Low-complexity detection method, reader-writer and system for environmental backscatter communication based on index modulation under multi-access channel |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113114393B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114900252A (en) * | 2022-04-22 | 2022-08-12 | 西安邮电大学 | Received signal detection method for enabling radio frequency reflector to receive and transmit combined spatial modulation |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120235795A1 (en) * | 2009-11-30 | 2012-09-20 | Westvalley Digital Technologies, Inc. | Active rfid tag, application system and method thereof |
| CN104766032A (en) * | 2015-01-23 | 2015-07-08 | 北京信息科技大学 | Q parameter realizing method capable of simultaneously recognizing multiple labels based on multiple receiving antennas |
| CN106656874A (en) * | 2017-01-10 | 2017-05-10 | 河海大学 | Mobile OFDM system channel estimation method based on compressed sensing |
| US20170180032A1 (en) * | 2015-08-12 | 2017-06-22 | Istanbul Teknik Universitesi Rektorlugu | Multiple input multiple output orthogonal frequency division multiplexing with index modulation, mimo-ofdm-im, communications system |
| US9948377B1 (en) * | 2017-02-06 | 2018-04-17 | Mitsubishi Electric Research Laboratories, Inc. | System and method for spatial beamforming modulation |
| CN109150253A (en) * | 2018-08-07 | 2019-01-04 | 浙江大学 | The information symbol detection method of environment backscatter system based on multiple antennas |
| CN109218240A (en) * | 2018-10-22 | 2019-01-15 | 清华大学 | A kind of signal in environment backscatter communication system is sent and detection method |
| CN110635826A (en) * | 2019-09-09 | 2019-12-31 | 华中科技大学 | Communication method and system for multi-antenna backscatter tag |
| CN111010197A (en) * | 2019-12-11 | 2020-04-14 | 华中科技大学 | Back scattering communication method, device and system based on polarization code |
| CN112087247A (en) * | 2020-08-04 | 2020-12-15 | 西安电子科技大学 | Path division multiple access method based on large-scale MIMO-OTFS |
| WO2021001138A1 (en) * | 2019-07-01 | 2021-01-07 | Orange | Method for determining at least one location for reception of a backscattered ambient signal |
-
2021
- 2021-03-26 CN CN202110330664.4A patent/CN113114393B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120235795A1 (en) * | 2009-11-30 | 2012-09-20 | Westvalley Digital Technologies, Inc. | Active rfid tag, application system and method thereof |
| CN104766032A (en) * | 2015-01-23 | 2015-07-08 | 北京信息科技大学 | Q parameter realizing method capable of simultaneously recognizing multiple labels based on multiple receiving antennas |
| US20170180032A1 (en) * | 2015-08-12 | 2017-06-22 | Istanbul Teknik Universitesi Rektorlugu | Multiple input multiple output orthogonal frequency division multiplexing with index modulation, mimo-ofdm-im, communications system |
| CN106656874A (en) * | 2017-01-10 | 2017-05-10 | 河海大学 | Mobile OFDM system channel estimation method based on compressed sensing |
| US9948377B1 (en) * | 2017-02-06 | 2018-04-17 | Mitsubishi Electric Research Laboratories, Inc. | System and method for spatial beamforming modulation |
| CN109150253A (en) * | 2018-08-07 | 2019-01-04 | 浙江大学 | The information symbol detection method of environment backscatter system based on multiple antennas |
| CN109218240A (en) * | 2018-10-22 | 2019-01-15 | 清华大学 | A kind of signal in environment backscatter communication system is sent and detection method |
| WO2021001138A1 (en) * | 2019-07-01 | 2021-01-07 | Orange | Method for determining at least one location for reception of a backscattered ambient signal |
| CN110635826A (en) * | 2019-09-09 | 2019-12-31 | 华中科技大学 | Communication method and system for multi-antenna backscatter tag |
| CN111010197A (en) * | 2019-12-11 | 2020-04-14 | 华中科技大学 | Back scattering communication method, device and system based on polarization code |
| CN112087247A (en) * | 2020-08-04 | 2020-12-15 | 西安电子科技大学 | Path division multiple access method based on large-scale MIMO-OTFS |
Non-Patent Citations (2)
| Title |
|---|
| G. LIANG 等: "Classification for Text Data from the Power System Based on Improving Naive Bayes", 《 2020 12TH IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC)》 * |
| 李晓武: "移动RFID系统标签识别技术的研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114900252A (en) * | 2022-04-22 | 2022-08-12 | 西安邮电大学 | Received signal detection method for enabling radio frequency reflector to receive and transmit combined spatial modulation |
| CN114900252B (en) * | 2022-04-22 | 2023-07-25 | 西安邮电大学 | Method for detecting receiving signal by radio frequency reflector enabling receiving and transmitting combined spatial modulation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113114393B (en) | 2022-04-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102402675B (en) | For method, the Apparatus and system of the motion tracking of RFID label tag | |
| EP1914660B1 (en) | Query tree based tag identification method in RFID systems | |
| CN103914132A (en) | Method and system for recognizing gestures based on fingers | |
| EP3136295A1 (en) | Method and device for processing an image of pixels, corresponding computer program product and computer-readable medium | |
| CN113114393B (en) | Low-complexity detection method, reader-writer and system for environmental backscatter communication based on index modulation under multi-access channel | |
| CN109586767B (en) | Joint point-to-point signal and collision detection method | |
| CN112910811A (en) | Blind modulation identification method and device under unknown noise level condition based on joint learning | |
| Mayer et al. | RFID tag acquisition via compressed sensing | |
| JP2020522039A (en) | Signature-based RFID localization | |
| Choi et al. | Enhanced binary search with time-divided responses for efficient rfid tag anti-collision | |
| CN116298880A (en) | Micro-motor reliability comprehensive test system and method thereof | |
| Nguyen et al. | Tag cardinality estimation using expectation-maximization in ALOHA-based RFID systems with capture effect and detection error | |
| US10095892B2 (en) | RFID reader and method for recognizing RFID tags | |
| Khelladi et al. | Request efficient channel estimation method for MIMO passive RFID systems | |
| CN105916102B (en) | More RFID label tags based on non-orthogonal multiple while read method | |
| Benbaghdad et al. | Dual antenna for physical layer UHF RFID collision cancelling | |
| CN104866790B (en) | A kind of RFID system collision-proof method for owing to determine the tree-like packet of self adaptation of blind separation | |
| US20050176414A1 (en) | Communications device identification methods, communications methods, wireless communications readers, wireless communications systems, and articles of manufacture | |
| CN116402077B (en) | Clone tag identification method and system in radio frequency identification system | |
| Ounas et al. | Evaluation performance of anti collision circuit based BSS method for RFID system | |
| Ismail et al. | Modelling and simulation of baseband processor for UHF RFID reader on FPGA | |
| CN109874132B (en) | Signal identification method and device | |
| Zeng et al. | A dictionary-matrix separation and Viterbi decoding for Miller code in RFID tag collision | |
| CN113688641B (en) | RFID tag identification method, reader, target tag and computer medium | |
| Ahmed et al. | Sign language gesture recognition with bispectrum features using SVM |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |