CN113489660B - Channel estimation method, device and storage medium of SIMO system - Google Patents

Channel estimation method, device and storage medium of SIMO system Download PDF

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CN113489660B
CN113489660B CN202110692040.7A CN202110692040A CN113489660B CN 113489660 B CN113489660 B CN 113489660B CN 202110692040 A CN202110692040 A CN 202110692040A CN 113489660 B CN113489660 B CN 113489660B
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channel
receiving
receiving end
channel estimation
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CN113489660A (en
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吕长伟
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Shenzhen Institute of Information Technology
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0204—Channel estimation of multiple channels
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/024—Channel estimation channel estimation algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/024—Channel estimation channel estimation algorithms
    • H04L25/0242—Channel estimation channel estimation algorithms using matrix methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/024—Channel estimation channel estimation algorithms
    • H04L25/0256—Channel estimation using minimum mean square error criteria
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

The invention discloses a channel estimation method of an SIMO system, which comprises the steps of obtaining a data frame sent by a sending end of the SIMO system; calculating the channel proportion relation of a plurality of receiving antennas of the receiving end according to the data received by each receiving antenna of the receiving end of the SIMO system; acquiring a data signal corresponding to the training sequence received by the receiving end; and optimizing the channel proportion relation and the data signals corresponding to the training sequence received by the receiving end according to the set optimization criterion to obtain an optimization result, and obtaining the channel estimation of each receiving antenna of the receiving end according to the optimization result. Compared with the prior art that the channel estimation is realized only through the training sequence, the invention can greatly improve the accuracy of the channel estimation. The invention also discloses a channel estimation device and a storage medium of the SIMO system.

Description

Channel estimation method, device and storage medium of SIMO system
Technical Field
The present invention relates to the field of wireless communications, and in particular, to a method and apparatus for channel estimation in a SIMO system, and a storage medium.
Background
The existing SIMO (Single input multiple output), single-input multiple-output) system includes, for each data transmission: training sequence and data sequence. Wherein, the training sequence is a redundant sequence known to both receiving and transmitting parties and can be used for channel estimation and the like; the data sequence is useful data actually transmitted by the system, and a receiving party cannot predict the transmitted data sequence in advance and is used for information exchange between the receiving party and the transmitting party. Since the estimation of the channel is performed only through the training sequence at present, the accuracy of the estimation calculation of the channel is low, and the system requirement cannot be met.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the present invention is to provide a channel estimation method of a SIMO system, which can solve the problems of low channel estimation accuracy and the like in the SIMO system in the prior art.
Another object of the present invention is to provide a channel estimation device for a SIMO system, which can solve the problem of low channel estimation accuracy in the SIMO system in the prior art.
A third object of the present invention is to provide a storage medium capable of solving the problem of low channel estimation accuracy in the SIMO system in the prior art.
One of the purposes of the invention is realized by adopting the following technical scheme:
a channel estimation method of a SIMO system, the channel estimation method comprising:
a transmission data acquisition step: acquiring a data frame sent by a sending end of a SIMO system; the data frame comprises a training sequence and a data sequence; wherein the SIMO system includes a transmitterA transmitting end and a receiving end, wherein the transmitting end is provided with 1 transmitting antenna, and the receiving end is provided with N S Multiple receiving antennas N S Are known;
and a proportion estimation step: calculating the channel proportion relation of a plurality of receiving antennas of the receiving end according to the data received by each receiving antenna of the receiving end of the SIMO system; the data received by each receiving antenna is the data corresponding to the data sequence in the data frame or the data corresponding to the data frame; a channel is formed between a transmitting antenna of the transmitting end and each receiving antenna of the receiving end;
a received data acquisition step: acquiring a data signal corresponding to the training sequence received by the receiving end;
optimizing: and optimizing the channel proportion relation and the data signals corresponding to the training sequence received by the receiving end according to the set optimization criterion to obtain an optimization result, and obtaining the channel estimation of each receiving antenna of the receiving end according to the optimization result.
Further, the step of estimating the ratio includes: firstly, deducing a channel expression of each receiving antenna of a receiving end according to data corresponding to the data frame or data corresponding to the data sequence received by each receiving antenna of the receiving end; and then the channel proportion relation of a plurality of receiving antennas is obtained according to the channel expression of each receiving antenna.
Further, in the ratio estimating step: the deriving a channel expression of each receiving antenna of the receiving end according to the data corresponding to the data sequence received by each receiving antenna of the receiving end specifically includes:
setting the data corresponding to the data sequence received by the ith receiving antenna of the receiving end asWherein (1)>Representing the nth data corresponding to the data sequence received by the ith receiving antenna of the receiving end；
Channel expression h for the ith receive antenna i Expressed as:wherein z is i,n Noise of the nth data corresponding to the data sequence received by the ith receiving antenna; d, d n N-th data of the data sequence; i epsilon [1, N s ]，n∈[1,N]The method comprises the steps of carrying out a first treatment on the surface of the N represents the data length of the data sequence;
channel ratio relationship h of multiple receiving antennas 1 :The method comprises the following steps:
further, the step of estimating the ratio further includes:
proportional deformation step: firstly, the formula (2) is transformed into the formula (3):
then, under the condition that the channel is kept unchanged in one frame of data, the formula (3) is deformed into the formula (4) according to an average algorithm;
obtaining the channel expression h of each receiving antenna according to the formula (4) i And a i The following conditions are satisfied:(5) B is a constant.
Further, the optimizing step includes: and optimizing the channel proportion relation and the data signals corresponding to the training sequence received by the receiving end according to the set optimization criterion, solving an optimal solution of b under the condition of meeting the optimization criterion, and obtaining the channel estimation of each receiving antenna according to the optimal solution of b and the formula (5).
Further, the data corresponding to the training sequence received by each receiving antenna of the receiving end is recorded asWherein (1)>Represents the kth data corresponding to the training sequence received by the ith receiving antenna of the receiving end, k is E [1, N t ]；N t A data length representing a training sequence;
the receiving end receives the data signal Y corresponding to the training sequence under the condition that the channel in one frame of data is kept unchanged p Expressed as:
Y p ＝hp T +Z p ＝bap T +Z p ；
receiving a data signal corresponding to the training sequence for a receiving end; />Is a channel vector; />For transposition of training sequence vectors, T represents transposition; />A vector of coefficients that are the channel scaling relationships in equation (4); z is Z p Is a noise matrix:
further, the optimization criteria include a least squares method and a least mean square error method.
Further, when the optimization criterion is the least square method, the objective function is set to S (b) = |y p -bap T ||；
When S (b) is minimum, the optimal solution of bThe method comprises the following steps:
wherein H is a conjugate transpose;
the channel estimate is derived from equation (5) and equation (8) as:
the second purpose of the invention is realized by adopting the following technical scheme:
a channel estimation device of a SIMO system includes a memory and a processor, the memory storing a channel estimation program executable on the processor, the channel estimation program being a computer program, the processor implementing the steps of a channel estimation method of a SIMO system employed as one of the objects of the present invention when the channel estimation program is executed.
The third purpose of the invention is realized by adopting the following technical scheme:
a storage medium which is a computer-readable storage medium having stored thereon a channel estimation program which is a computer program which, when executed by a processor, implements the steps of a channel estimation method of a SIMO system as employed by one of the objects of the present invention.
Compared with the prior art, the invention has the beneficial effects that:
when estimating the channel, the invention firstly carries out preliminary estimation on the channel through the training sequence in the transmitted data, then utilizes the data sequence to estimate the channel and utilizes the proportional relation among the channels to realize the improvement of the channel estimation precision, and compared with the prior art, the invention greatly improves the channel estimation precision by only estimating the channel through the training sequence.
Drawings
Fig. 1 is a schematic diagram of data communication between a sending end and a receiving end in the SIMO system provided by the present invention.
FIG. 2 is a schematic diagram of a structure of data sent in the SIMO system according to the present invention;
fig. 3 is a flow chart of a channel estimation method of a SIMO system provided by the present invention;
fig. 4 is a block diagram of a channel estimation device of a SIMO system according to the present invention.
In the figure: 11. a memory; 12. a processor; 13. a communication bus; 14. a network interface.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and detailed description, wherein it is to be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
Example 1
In order to solve the problem of low channel estimation accuracy in the prior art, the method and the device can greatly improve the accuracy of channel estimation by combining the data sequence in the transmitted data with the training sequence to perform channel estimation.
The SIMO (Single input multiple output, single-input multiple-output) system applied by the invention comprises a sending end and a receiving end. Wherein, the transmitting end has 1 transmitting antenna for transmitting data signals outwards. The receiving end is provided with a plurality of receiving antennas which are respectively used for receiving the data signals sent by the transmitting antennas of the sending end.
Each time the SIMO system transmits a frame of data, the frame of data includes: training sequences and data sequences. The data and the length of the training sequence are known to the transmitting end and the receiving end; while the length of the data sequence is known to the receiving end as well as to the transmitting end, but the data itself is unknown to the receiving end. The positional relationship between the training sequence in the data frame and the data sequence in the data frame is not particularly limited, and can be specifically adjusted according to actual requirements. Specifically, the present embodiment is to place the training sequences all at the beginning of the data frame.
In general, in the prior art, each channel is generally estimated by a known training sequence, that is, the channel rough estimation described in this embodiment, and the accuracy of the calculation result of this estimation mode is low, so this embodiment implements channel estimation by adding an unknown data sequence to the channel estimation and combining it with the training sequence.
The invention provides a preferred embodiment, a channel estimation method of a SIMO system, as shown in FIG. 3, specifically comprising the following steps:
step S1, acquiring a data frame sent by a sending end of the SIMO system. Wherein the data frame includes a training sequence and a data sequence.
As shown in fig. 1-2, in this embodiment, the following is set: the transmitting end has 1 transmitting antenna, and the receiving end has N S Multiple receiving antennas N S Are known.
Setting the length N of the training sequence t The length of the data sequence is N, and the data of the training sequence p is denoted p k ,k＝1,2,...,N t The data of the data sequence d is denoted d n N=1, 2,..n. In this embodiment, p denotes a training sequence, d denotes a data sequence, and the following is the same. n and k are the numbers of the data sequences and the training sequences respectively, and the value range of n is [1, N]The value range of k is [1, N t ]. For the transmitting end, the length N of the training sequence t And the data are known, the length N of the data sequence is known; for the receiving end, the length N of the data sequence and the length N of the training sequence t The data of the training sequence is known, but the data of the data sequence is unknown.
The present embodiment also sets h to represent channel estimation between the transmitting antenna of the transmitting end and one receiving antenna of the receiving end, and specifically refers to the specific description in the specification.
And S2, calculating the channel proportion relation of a plurality of receiving antennas of the receiving end according to the data received by each receiving antenna of the receiving end of the SIMO system.
Preferably, in this embodiment, the data sequence may be used in calculating the channel proportional relationship, and the training sequence and the data sequence may be used. Since the unknown data sequence is added to the channel estimation in this embodiment, the data sequence needs to be added when calculating the channel proportional relationship of the plurality of receiving antennas. That is, in the case of the channel ratio relationship of the plurality of receiving antennas, the calculation may be performed based on the data corresponding to the data sequence received by each receiving antenna, or based on the data corresponding to the data sequence received by each receiving antenna.
In the SIMO system of this embodiment, a channel is formed between the transmitting antenna of the transmitting end and each receiving antenna of the receiving end.
Preferably, the present embodiment calculates the channel proportional relationship based on the data sequence: setting the data corresponding to the data sequence received by the ith receiving antenna of the receiving end as
Wherein,representing the nth data corresponding to the data sequence received by the ith receiving antenna.
Channel expression h for the ith receive antenna i Expressed as:
wherein z is i,n Noise of the nth data corresponding to the data sequence received by the ith receiving antenna; d, d n N-th data of the data sequence; i epsilon [1, N s ]，n∈[1,N]。
Therefore, the channel ratio relationship h of the plurality of receiving antennas 1 :Expressed as:
when the signal-to-noise ratio is large, the noise is negligible during the signal transmission process. I.e. when noise is ignored, i.e. z i,n =0, then equation (2) can be modified to equation (3):
meanwhile, under the condition that the channel is kept unchanged in the process of transmitting one frame of data frame, the formula (3) is changed into the formula (4) according to an average algorithm:
as can be seen from equation (4), the channel expression h for each receiving antenna i ,i＝1,2,...,N s And a i ,i＝1,2,...,N s The following conditions are satisfied:b is a coefficient of the channel proportional relationship, and is an unknown constant.
As can be seen from equation (5), the channel estimate h for each receiving antenna can be obtained from equation (5) as long as the value of b is calculated.
And S3, acquiring data corresponding to the training sequence received by the receiving end. Since the training sequence is known data, the received data corresponding to the training sequence is also known to the receiving end.
In this embodiment, the data corresponding to the training sequence received by the multiple receiving antennas of the receiving end is set as:wherein (1)>Represents the kth data corresponding to the training sequence received by the ith receiving antenna of the receiving end, k is E [1, N t ]。
In the case that the channel remains unchanged during the transmission of a frame of data, the receiving end receives the data signal Y corresponding to the training sequence p Expressed as:
Y p ＝hp T +Z p (6)。
since h is a channel estimate, substituting equation (5) into equation (6) yields: y is Y p ＝hp T +Z p ＝bap T +Z p (7)。
Wherein,receiving a data signal corresponding to the training sequence for a receiving end; />Is a channel vector; />For transposition of training sequence vectors, T represents transposition; />Is a vector of channel scaling coefficients in equation (4); z is Z p Is a noise matrix:
as can be seen from equation (5), for solving the channel estimate, it can be converted into a value for the unknown constant b.
And S4, optimizing the channel proportion relation and the data signals received by the receiving end and corresponding to the training sequence according to the set optimization criteria to obtain an optimization result, and obtaining the channel estimation of each receiving antenna of the receiving end according to the optimization result.
Preferably, the optimization criterion in this embodiment may be a solution method of an optimal solution commonly used in the prior art, such as a least square method or a least mean square error method.
Specifically, when the optimization criterion is the least square method, in order to find the optimal solution of b, the present embodiment finds the objective function according to formula (7): s (b) = ||y p -bap T ||。
I.e. according to least squares method, when S (b) is minimum, the optimal solution of bThe method comprises the following steps:
wherein H is the conjugate transpose.
Thus, the channel estimate can be derived from equation (8) and equation (5) as:
that is, under the optimization criterion of the least square method, the channel fine estimation of each receiving antenna of the receiving end is respectively:
the invention realizes the calculation of channel estimation by combining the training sequence and the digital sequence, the channel estimation is expressed by the data received by the receiving end, such as the combination of the training sequence and the digital sequence or the data sequence, and then the channel proportional relation of a plurality of receiving antennas is obtained, so that the association relation between the channel proportional coefficient and the channel estimation is obtained, the calculation of the channel estimation is converted into the calculation of the proportional relation between the channel proportional coefficient and the channel estimation, and finally the known training sequence is combined to optimize the proportional relation so as to calculate the channel estimation. The invention can greatly improve the accuracy of channel estimation by taking the unknown data sequence into consideration in the calculation of the channel estimation.
Example two
The invention provides a channel estimation device of a SIMO system. As shown in fig. 4, an internal structure of a channel estimation device of a SIMO system according to an embodiment of the present invention is shown.
In this embodiment, a channel estimation device of the SIMO system may be a PC (Personal Computer ), or may be a terminal device such as a smart phone, a tablet computer, or a portable computer. The channel estimation device of the SIMO system at least comprises: a processor 12, a communication bus 13, a network interface 14 and a memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of a channel estimation device of a SIMO system, for example a hard disk of the channel estimation device of the SIMO system. The memory 11 may also be an external storage device of a channel estimation apparatus of a SIMO system in other embodiments, for example, a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like provided on the channel estimation apparatus of a SIMO system. Further, the memory 11 may also include both an internal memory unit and an external memory device of a channel estimation apparatus of a SIMO system. The memory 11 may be used not only for storing application software of a channel estimation device installed in a SIMO system and various types of data, such as codes of a channel estimation program, but also for temporarily storing data that has been output or is to be output.
The processor 12 may in some embodiments be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor or other data processing chip for running program code or processing data stored in the memory 11, e.g. performing channel estimation procedures or the like.
The communication bus 13 is used to enable connection communication between these components.
The network interface 14 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), typically used to establish a communication connection between the channel estimation device of the one SIMO system and other electronic devices.
Optionally, the channel estimation device of the SIMO system may further include a user interface, where the user interface may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further include a standard wired interface and a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in a channel estimation device of a SIMO system and for displaying a visual user interface.
Fig. 4 shows only a channel estimation device of a SIMO system with components 11-14 and a channel estimation procedure, it will be understood by those skilled in the art that the structure shown in fig. 4 does not constitute a limitation of a channel estimation device of a SIMO system, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
In one embodiment of the channel estimation device of the SIMO system shown in fig. 4, a channel estimation program is stored in the memory 11; the processor 12 performs the following steps when executing the channel estimation program stored in the memory 11:
a transmission data acquisition step: acquiring a data frame sent by a sending end of a SIMO system; the data frame comprises a training sequence and a data sequence; the SIMO system comprises a transmitting end and a receiving end, wherein the transmitting end is provided with 1 transmitting antenna, and the receiving end is provided with N S Receiving antennaLine N S Are known;
and a proportion estimation step: calculating the channel proportion relation of a plurality of receiving antennas of the receiving end according to the data received by each receiving antenna of the receiving end of the SIMO system; the data received by each receiving antenna is the data corresponding to the data sequence in the data frame or the data corresponding to the data frame; a channel is formed between a transmitting antenna of the transmitting end and each receiving antenna of the receiving end;
a received data acquisition step: acquiring a data signal corresponding to the training sequence received by the receiving end;
optimizing: and optimizing the channel proportion relation and the data signals corresponding to the training sequence received by the receiving end according to the set optimization criterion to obtain an optimization result, and obtaining the channel estimation of each receiving antenna of the receiving end according to the optimization result.
Further, the step of estimating the ratio includes: firstly, deducing a channel expression of each receiving antenna of a receiving end according to data corresponding to the data frame or data corresponding to the data sequence received by each receiving antenna of the receiving end; and then the channel proportion relation of a plurality of receiving antennas is obtained according to the channel expression of each receiving antenna.
Further, in the ratio estimating step: the deriving a channel expression of each receiving antenna of the receiving end according to the data corresponding to the data sequence received by each receiving antenna of the receiving end specifically includes:
setting the data corresponding to the data sequence received by the ith receiving antenna of the receiving end asWherein (1)>Representing the nth data corresponding to the data sequence received by the ith receiving antenna of the receiving end;
channel expression h for the ith receive antenna i Expressed as:wherein z is i,n Noise of the nth data corresponding to the data sequence received by the ith receiving antenna; d, d n N-th data of the data sequence; i epsilon [1, N s ]，n∈[1,N]The method comprises the steps of carrying out a first treatment on the surface of the N represents the data length of the data sequence;
channel ratio relationship h of multiple receiving antennas 1 :The method comprises the following steps:
further, the step of estimating the ratio further includes:
proportional deformation step: firstly, the formula (2) is transformed into the formula (3):
then, under the condition that the channel is kept unchanged in one frame of data, the formula (3) is deformed into the formula (4) according to an average algorithm;
obtaining the channel expression h of each receiving antenna according to the formula (4) i And a i The following conditions are satisfied:(5) B is a constant.
Further, the optimizing step includes: and optimizing the channel proportion relation and the data signals corresponding to the training sequence received by the receiving end according to the set optimization criterion, solving an optimal solution of b under the condition of meeting the optimization criterion, and obtaining the channel estimation of each receiving antenna according to the optimal solution of b and the formula (5).
Further, the data corresponding to the training sequence received by each receiving antenna of the receiving end is recorded asWherein (1)>Represents the kth data corresponding to the training sequence received by the ith receiving antenna of the receiving end, k is E [1, N t ]；N t A data length representing a training sequence;
the receiving end receives the data signal Y corresponding to the training sequence under the condition that the channel in one frame of data is kept unchanged p Expressed as:
Y p ＝hp T +Z p ＝bap T +Z p ；
receiving a data signal corresponding to the training sequence for a receiving end; />Is a channel vector; />For transposition of training sequence vectors, T represents transposition; />A vector of coefficients that are the channel scaling relationships in equation (4); z is Z p Is a noise matrix:
further, the optimization criteria include a least squares method and a least mean square error method.
Further, when the optimization criterion is the least square method, the objective function is set to S (b) = |y p -bap T ||；
When S (b) is minimum, the optimal solution of bThe method comprises the following steps:
wherein H is a conjugate transpose;
the channel estimate is derived from equation (5) and equation (8) as:
example III
A storage medium, the storage medium being a computer-readable storage medium having stored thereon a channel estimation program, the channel estimation program being a computer program, which when executed by a processor, performs the steps of:
a transmission data acquisition step: acquiring a data frame sent by a sending end of a SIMO system; the data frame comprises a training sequence and a data sequence; the SIMO system comprises a transmitting end and a receiving end, wherein the transmitting end is provided with 1 transmitting antenna, and the receiving end is provided with N S Multiple receiving antennas N S Are known;
and a proportion estimation step: calculating the channel proportion relation of a plurality of receiving antennas of the receiving end according to the data received by each receiving antenna of the receiving end of the SIMO system; the data received by each receiving antenna is the data corresponding to the data sequence in the data frame or the data corresponding to the data frame; a channel is formed between a transmitting antenna of the transmitting end and each receiving antenna of the receiving end;
a received data acquisition step: acquiring a data signal corresponding to the training sequence received by the receiving end;
optimizing: and optimizing the channel proportion relation and the data signals corresponding to the training sequence received by the receiving end according to the set optimization criterion to obtain an optimization result, and obtaining the channel estimation of each receiving antenna of the receiving end according to the optimization result.
Further, the step of estimating the ratio includes: firstly, deducing a channel expression of each receiving antenna of a receiving end according to data corresponding to the data frame or data corresponding to the data sequence received by each receiving antenna of the receiving end; and then the channel proportion relation of a plurality of receiving antennas is obtained according to the channel expression of each receiving antenna.
Further, in the ratio estimating step: the deriving a channel expression of each receiving antenna of the receiving end according to the data corresponding to the data sequence received by each receiving antenna of the receiving end specifically includes:
setting the data corresponding to the data sequence received by the ith receiving antenna of the receiving end asWherein (1)>Representing the nth data corresponding to the data sequence received by the ith receiving antenna of the receiving end;
channel expression h for the ith receive antenna i Expressed as:wherein z is i,n Noise of the nth data corresponding to the data sequence received by the ith receiving antenna; d, d n N-th data of the data sequence; i epsilon [1, N s ]，n∈[1,N]The method comprises the steps of carrying out a first treatment on the surface of the N represents the data length of the data sequence;
channel ratio relationship h of multiple receiving antennas 1 :The method comprises the following steps:
further, the step of estimating the ratio further includes:
proportional deformation step: firstly, the formula (2) is transformed into the formula (3):
then, under the condition that the channel is kept unchanged in one frame of data, the formula (3) is deformed into the formula (4) according to an average algorithm;
obtaining the channel expression h of each receiving antenna according to the formula (4) i And a i The following conditions are satisfied:(5) B is a constant.
Further, the optimizing step includes: and optimizing the channel proportion relation and the data signals corresponding to the training sequence received by the receiving end according to the set optimization criterion, solving an optimal solution of b under the condition of meeting the optimization criterion, and obtaining the channel estimation of each receiving antenna according to the optimal solution of b and the formula (5).
Further, the data corresponding to the training sequence received by each receiving antenna of the receiving end is recorded asWherein (1)>Represents the kth data corresponding to the training sequence received by the ith receiving antenna of the receiving end, k is E [1, N t ]；N t A data length representing a training sequence;
the receiving end receives the data signal Y corresponding to the training sequence under the condition that the channel in one frame of data is kept unchanged p Expressed as:
Y p ＝hp T +Z p ＝bap T +Z p ；
receiving a data signal corresponding to the training sequence for a receiving end; />Is a channel vector; />For transposition of training sequence vectors, T represents transposition; />A vector of coefficients that are the channel scaling relationships in equation (4); z is Z p Is a noise matrix:
further, the optimization criteria include a least squares method and a least mean square error method.
Further, when the optimization criterion is the least square method, the objective function is set to S (b) = |y p -bap T ||；
When S (b) is minimum, the optimal solution of bThe method comprises the following steps:
wherein H is a conjugate transpose;
the channel estimate is derived from equation (5) and equation (8) as:
the above embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but any insubstantial changes and substitutions made by those skilled in the art on the basis of the present invention are intended to be within the scope of the present invention as claimed.

Claims (3)

1. A channel estimation method of a SIMO system, the channel estimation method comprising:
a transmission data acquisition step: acquiring a data frame sent by a sending end of a SIMO system; the data frame comprises a training sequence and a data sequence; the SIMO system comprises a transmitting end and a receiving end, wherein the transmitting end is provided with 1 transmitting antenna, and the receiving end is provided withA plurality of receiving antennas->Are known;
and a proportion estimation step: calculating the channel proportion relation of a plurality of receiving antennas of the receiving end according to the data received by each receiving antenna of the receiving end of the SIMO system; the data received by each receiving antenna is the data corresponding to the data sequence in the data frame or the data corresponding to the data frame; a channel is formed between a transmitting antenna of the transmitting end and each receiving antenna of the receiving end;
a received data acquisition step: acquiring a data signal corresponding to the training sequence received by the receiving end;
optimizing: optimizing the channel proportion relation and the data signals received by the receiving end and corresponding to the training sequence according to a set optimization criterion to obtain an optimization result, and obtaining the channel estimation of each receiving antenna of the receiving end according to the optimization result;
the step of ratio estimation includes: firstly, deducing a channel expression of each receiving antenna of a receiving end according to data corresponding to the data frame or data corresponding to the data sequence received by each receiving antenna of the receiving end; then, according to the channel expression of each receiving antenna, obtaining the channel proportion relation of a plurality of receiving antennas;
in the ratio estimation step: the deriving a channel expression of each receiving antenna of the receiving end according to the data corresponding to the data sequence received by each receiving antenna of the receiving end specifically includes:
setting the first receiving endThe data corresponding to the data sequence received by the receiving antennas is +.>The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Indicate the first part of the receiving end>The first part corresponding to the data sequence received by the receiving antenna>Data;
then the firstChannel expression for the individual receiving antennas +.>Expressed as: />(1) The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is->The first part corresponding to the data sequence received by the receiving antenna>Noise of the individual data; />Representing a data sequence of length +.>，/>Is the->Data; />，/>；/>A data length representing a data sequence;
channel scaling for multiple receive antennasThe method comprises the following steps:
（2）；
the step of ratio estimation further comprises:
proportional deformation step: firstly, the formula (2) is transformed into the formula (3):
（3）；
then, under the condition that the channel is kept unchanged in one frame of data, the formula (3) is deformed into the formula (4) according to an average algorithm;
（4）；
deriving a channel expression for each receiving antenna according to equation (4)And->The following conditions are satisfied: />（5），/>Is a constant;
the optimizing step comprises the following steps: optimizing the channel proportion relation, the data signals received by the receiving end and corresponding to the training sequence according to the set optimization criterion, and solving the condition of meeting the optimization criterionIs then according to +.>Obtaining the channel estimation of each receiving antenna according to the formula (5);
setting the data corresponding to the training sequence received by each receiving antenna of the receiving end asThe method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Indicate the first part of the receiving end>The first part of the training sequence received by the receiving antenna>Data of->；/>A data length representing a training sequence;
receiving a data signal corresponding to the training sequence by a receiving end under the condition that a channel in one frame of data remains unchangedExpressed as:
；
receiving a data signal corresponding to the training sequence for a receiving end;is a channel vector; />For transposition of training sequence vectors, T represents transposition; />Is the coefficient of the channel proportional relation in the formula (4)Vector; />Is a noise matrix:
；
the optimization criteria include a least square method and a least mean square error method;
when the optimization criterion is the least square method, the objective function is set as；
When (when)Minimum time, ->Optimal solution of->The method comprises the following steps:
(8) The method comprises the steps of carrying out a first treatment on the surface of the Wherein H is a conjugate transpose;
the channel estimate is derived from equation (5) and equation (8) as:。
2. a channel estimation device of a SIMO system, comprising a memory and a processor, wherein the memory stores a channel estimation program that can be executed on the processor, and the channel estimation program is a computer program, characterized in that: the processor, when executing the channel estimation program, implements the steps of a method for channel estimation for a SIMO system as claimed in claim 1.
3. A storage medium, the storage medium being a computer-readable storage medium having a channel estimation program stored thereon, the channel estimation program being a computer program, characterized in that: the channel estimation program, when executed by a processor, implements the steps of a method for channel estimation of a SIMO system as claimed in claim 1.
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CN112671679A (en) * 2020-12-10 2021-04-16 深圳信息职业技术学院 Channel estimation method, device and storage medium applied to SIMO system

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CN112671679A (en) * 2020-12-10 2021-04-16 深圳信息职业技术学院 Channel estimation method, device and storage medium applied to SIMO system

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