CN113079118B - Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment - Google Patents

Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment Download PDF

Info

Publication number
CN113079118B
CN113079118B CN202110310721.2A CN202110310721A CN113079118B CN 113079118 B CN113079118 B CN 113079118B CN 202110310721 A CN202110310721 A CN 202110310721A CN 113079118 B CN113079118 B CN 113079118B
Authority
CN
China
Prior art keywords
channel estimation
group
pilot
occ
grouping
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.)
Active
Application number
CN202110310721.2A
Other languages
Chinese (zh)
Other versions
CN113079118A (en
Inventor
游月意
张海涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Spreadtrum Communications Shanghai Co Ltd
Original Assignee
Spreadtrum Communications Shanghai Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Spreadtrum Communications Shanghai Co Ltd filed Critical Spreadtrum Communications Shanghai Co Ltd
Priority to CN202110310721.2A priority Critical patent/CN113079118B/en
Publication of CN113079118A publication Critical patent/CN113079118A/en
Application granted granted Critical
Publication of CN113079118B publication Critical patent/CN113079118B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0224Channel estimation using sounding signals

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

A channel estimation method and device based on OCC sequence grouping, a storage medium and computer equipment are provided, wherein the method comprises the following steps: grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies, wherein OCC sequences of each group of pilot frequencies are the same; respectively carrying out channel estimation on the pilot frequency of each group to obtain the channel estimation value of each subcarrier of each group of pilot frequency; and decoding the OCC of the channel estimation values of different groups of pilot frequencies to obtain a channel estimation value on each port. By the method, the pilot frequencies with the same OCC sequence are divided into one group, then each group is respectively subjected to channel estimation, and finally different groups are subjected to channel estimation result OCC solution to obtain a channel estimation value of each port. Thus, when the DMRS pilot patterns are unevenly distributed, the channel estimation value on each port can be accurately obtained.

Description

Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment
Technical Field
The present invention relates to the field of communications, and in particular, to a channel estimation method and apparatus based on OCC sequence grouping, a storage medium, and a computer device.
Background
In a communication system, due to the influence of multipath fading, noise and the like, a signal received by a receiving end is often severely distorted, and channel estimation is required to effectively recover original information sent by a sending end.
In a New Radio (NR) system of a fifth generation mobile communication technology (5G), two Demodulation Reference Signal (DMRS) pilot patterns exist in a data channel: DMRS Type0 and DMRS Type1. However, for different precoding modes (wideband mode and narrowband mode) of DMRS, the existing channel estimation method cannot obtain a channel estimation value of each port from a channel estimation value of a pilot.
Disclosure of Invention
The technical problem solved by the invention is how to obtain the channel estimation value of each port according to the channel estimation value of the pilot frequency.
In order to solve the above problem, an embodiment of the present invention provides a channel estimation method based on OCC sequence grouping, where the method includes: grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies, wherein OCC sequences of each group of pilot frequencies are the same; respectively carrying out channel estimation on the pilot frequency of each group to obtain the channel estimation value of each subcarrier of each group of pilot frequency; and decoding the OCC of the channel estimation values of different groups of pilot frequencies to obtain the channel estimation value on each port.
Optionally, the OCC sequences corresponding to adjacent pilots of the same CDM are different.
Optionally, before grouping the pilots of the same CDM group to obtain several groups of pilots, the method further includes: and descrambling each pilot frequency in the group to obtain an initial channel estimation value of each pilot frequency aiming at the same CDM group.
Optionally, the initial channel estimation value H (k) of the kth pilot frequency is expressed by the following formula: h (k) = Y (k) S * (k)=H 0 (k)W 0 (k)+H 1 (k)W 1 (k)+N(k)S * (k) K is a non-negative integer, k =0,1,2, …; wherein Y (k) = H 0 (k)W 0 (k)S(k)+H 1 (k)W 1 (k) S (k) + N (k); y (k) is data received by a subcarrier corresponding to the kth pilot frequency position; n (k) is noise received by a subcarrier corresponding to the kth pilot frequency position; s (k) is a subcarrier scrambling code corresponding to the kth pilot frequency position, and S x (k) is the conjugate of S (k); w i (k) A subcarrier OCC sequence corresponding to a k pilot frequency position on an ith port; h i (k) The actual channel value of the subcarrier corresponding to the kth pilot frequency position on the ith port is obtained; i =0 or 1.
Optionally, the OCC sequence includes a first OCC sequence and a second OCC sequence, and the OCC is decoded on the channel estimation values of different groups of pilots according to the following formula to obtain a channel estimation value on each port: according to
Figure BDA0002989438370000021
Calculating a channel estimation value on each port;
Figure BDA0002989438370000022
Figure BDA0002989438370000023
wherein the content of the first and second substances,
Figure BDA0002989438370000024
i =0,1 for the channel estimate for the nth subcarrier of the ith group pilot; n is a non-negative integer, n =0,1,2 …;
Figure BDA0002989438370000025
j =0,1 is the channel estimate for the nth subcarrier on the jth port.
Optionally, at least one of the following channel estimation methods is used to perform channel estimation on the pilots in each group: linear interpolation, wiener filtering, IFFT-based transformation, FFT-based transformation.
Optionally, before grouping the pilots of the same CDM group to obtain several groups of pilots, the method further includes: judging whether pilot frequency patterns of DMRSs of the same CDM group are distributed at equal intervals or not; if the result is negative, the pilot frequency of the same CDM group is continuously grouped to obtain a plurality of groups of pilot frequencies.
The embodiment of the invention also provides a channel estimation device based on OCC sequence grouping, which comprises: the grouping module is used for grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies, wherein OCC sequences of each group of pilot frequencies are the same; the grouped channel estimation module is used for respectively carrying out channel estimation on the pilot frequency of each group to obtain the channel estimation value of each subcarrier of each group of pilot frequency; and the port channel estimation module is used for decoding the OCC of the channel estimation values of different groups of pilot frequencies to obtain the channel estimation value on each port.
Embodiments of the present invention further provide a storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform any of the steps of the channel estimation method based on OCC sequence grouping.
The embodiment of the present invention further provides a computer device, which includes the OCC sequence packet-based channel estimation apparatus, or includes a memory and a processor, where the memory stores a computer program that is executable on the processor, and the processor executes the steps of any one of the foregoing OCC sequence packet-based channel estimation methods when executing the computer program.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a channel estimation method based on OCC sequence grouping, which comprises the following steps: grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies, wherein OCC sequences of each group of pilot frequencies are the same; respectively carrying out channel estimation on the pilot frequency of each group to obtain the channel estimation value of each subcarrier of each group of pilot frequency; and decoding the OCC of the channel estimation values of different groups of pilot frequencies to obtain a channel estimation value on each port. By the method of the embodiment of the invention, the pilot frequencies with the same OCC sequence are divided into one group, then each group is respectively subjected to channel estimation, and finally the OCC is solved for different groups to obtain the channel estimation value of each port. And aiming at different DMRS pilot pattern distributions, the channel estimation value on each port can be accurately obtained.
Further, if the DMRS pilot patterns of the same CDM group are distributed at equal intervals, the channel estimation value of each port can be obtained by using the IFFT/FFT transform domain channel estimation method directly. When the DMRS pilot patterns in the same CDM group are distributed at unequal intervals, channel estimation needs to be performed after grouping according to the OCC sequence, and then the channel estimation value of each port can be obtained.
Drawings
Fig. 1 is a schematic diagram of a DMRS Type0 pilot pattern in the prior art;
fig. 2 is a schematic diagram of a DMRS Type1 pilot pattern in the prior art;
fig. 3 is a schematic flowchart of a first channel estimation method based on OCC sequence grouping according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a second channel estimation method based on OCC sequence grouping according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a third channel estimation method based on OCC sequence grouping according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a channel estimation device based on OCC sequence grouping according to an embodiment of the present invention.
Detailed Description
The DMRS is classified into Type0 (denoted as Type 0) and Type1 (denoted as Type 1), and indicated by a parameter DMRS-Type, and is respectively used to support single-user multiple-in multiple-out (MIMO) and multi-user MIMO. Referring to fig. 1 and 2, fig. 1 is a schematic diagram of a DMRS Type0 in the prior art, and fig. 2 is a schematic diagram of a DMRS Type1 in the prior art. Type0 supports 4 ports at most in the case of a single symbol, and ports 0/1 and 2/3 are respectively in different Code-division multiplexing (CDM) groups, where, for example, CDM groups in which ports 0 and 1 are located are also orthogonal through the OCC in the frequency domain, thereby implementing the orthogonality of 4 ports. Type0 supports at most 8 ports in a double-symbol case, and can implement orthogonality by using time domain OCC in addition to frequency domain OCC, so that more ports can be supported. Type1 supports a maximum of 6 ports in a single symbol case, and has three CDM groups, in which orthogonality is achieved by the frequency domain OCC in each CDM group. Type1 supports 12 ports at most in the case of dual symbols, and similarly to the case of dual symbols of Type0, it is also possible to support more ports by using a time domain OCC in addition to a frequency domain OCC. In the following, taking 1 Physical Resource Block (PRB for short) under the condition of a single symbol, two ports (ports) are supported in the same CDM group, and the two ports are respectively referred to as Port0 and Port1, which introduces the problems in the prior art:
in general, the pilots in the same CDM group include Port0 pilots and Port1 pilots, which are obtained by overlapping different Orthogonal Cover Code (OCC) sequences based on the frequency domain.
If DMRS precoding is wideband mode, DMRS pilot patterns within the same CDM group are equally spaced for DMRS Type0 (as shown in fig. 1), pilots are represented by 0,2,4,6,8 and 10, pilots 0,4 and 8 correspond to the same OCC sequence (represented by "+" in fig. 1), and pilots 2,6 and 10 correspond to the same OCC sequence (represented by "+ -" in fig. 1). After Inverse Fast Fourier Transform (IFFT) is performed on the pilot, port0 and Port1 can be directly distinguished in the time domain, and channel estimation values of Port0 and Port1 are obtained.
However, for DMRS Type1, the DMRS pilot patterns are not uniformly distributed (the distribution of the pilot patterns is shown in fig. 2), the pilots are represented by 0,1,6 and 7, the carrier distances between adjacent pilots are different, pilots 0 and 6 correspond to the same OCC sequence (shown by "+"' in fig. 2), and pilots 1 and 7 correspond to the same OCC sequence (shown by "+" infig. 2). With this distribution, IFFT cannot be performed directly, and Port0 and Port1 are distinguished in the time domain.
If the DMRS precoding is a narrowband mode, and also includes two DMRS pilot images as in fig. 1 and fig. 2, however, due to the existence of channel hopping in the narrowband mode, it cannot be distinguished by IFFT, and it is usually assumed that adjacent sub-carrier channels are approximately equal to solve the OCC, and such an assumption may cause channel estimation performance loss.
In summary, the conventional DMRS precoding mode cannot directly obtain the channel estimation value of each port according to the channel estimation value of the pilot.
In order to solve the above problem, an embodiment of the present invention provides a channel estimation method based on OCC sequence grouping, including: grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies, wherein OCC sequences of each group of pilot frequencies are the same; respectively carrying out channel estimation on the pilot frequency of each group to obtain the channel estimation value of each subcarrier of each group of pilot frequency; and decoding the OCC of the channel estimation values of different groups of pilot frequencies to obtain a channel estimation value on each port.
Therefore, the pilot frequency with the same OCC sequence is divided into one group, then each group is respectively subjected to channel estimation, and finally, the OCC is solved for different groups to obtain the channel estimation value of each port. And aiming at different DMRS pilot pattern distributions, the channel estimation value on each port can be accurately obtained.
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures are described in detail below.
Referring to fig. 3, fig. 3 is a schematic flow chart of a first channel estimation method based on OCC sequence grouping according to an embodiment of the present invention, where the method is executed by a signal receiving device (or called receiving terminal, or terminal for short) side in a 5G NR system, and the terminal may be a communication device such as a mobile phone and a computer. The method specifically includes step S301 to step S301, which are described in detail below.
Step S301, grouping the pilots of the same CDM group to obtain a plurality of groups of pilots, wherein the OCC sequences of each group of pilots are the same.
Specifically, the same CDM group includes multiple groups of pilots, where each group of pilots includes multiple pilots corresponding to different OCC sequences. And dividing the pilot frequency of the same CDM group into a plurality of groups according to the different OCCs corresponding to the pilot frequencies, wherein the OCC sequences of each group of pilot frequencies are the same.
Step S302, channel estimation is respectively carried out on the pilot frequency of each group, and channel estimation values of all sub-carriers of each group of pilot frequency are obtained.
For each group of grouped pilot frequency, channel estimation methods such as linear interpolation, wiener filtering, IFFT (fast Fourier transform) based methods, fast Fourier Transform (FFT) based methods, and the like can be performed on the pilot frequency according to the existing channel estimation methods.
According to the research on different DMRS pilot patterns, after grouping according to step S301, the pilots of each group are uniformly distributed, and a channel estimation value can be obtained directly by using a channel estimation method in the IFFT/FFT transform domain.
Step S303, the OCC is decoded for the channel estimation values of different groups of pilot frequencies, and the channel estimation value on each port is obtained.
Optionally, the OCC sequences of different ports in the same CDM are different. Therefore, the pilot frequency of different ports can be distinguished through the OCC sequence, so that the channel estimation value on the port can be obtained.
In a specific embodiment, continuing with the example of supporting two ports Port0 and Port1 within the same CDM group, the distribution of these pilots includes both Type0 and Type1 of fig. 1 and fig. 2, and for the distribution of Type0, the pilots with OCC of "+ +" are grouped into a group that includes pilots 0,4 and 8. The pilots with OCC of "+ -" are grouped into a group that includes pilots 2,6 and 10. And respectively carrying out channel estimation on each group of pilot frequency to obtain channel estimation values of different ports.
By the method illustrated in fig. 3, the pilots with the same OCC sequence can be grouped into one group, then each group is subjected to channel estimation, and finally, the OCC is solved for different groups to obtain the channel estimation value of each port. And aiming at different DMRS pilot pattern distributions, the channel estimation value on each port can be accurately obtained.
In an embodiment, please refer to fig. 3 and fig. 4, fig. 4 is a flowchart illustrating a second channel estimation method based on OCC sequence grouping according to an embodiment of the present invention; before grouping the pilots of the same CDM group to obtain several groups of pilots in step S301 in fig. 3, step S401 is further included: and descrambling each pilot frequency in the group to obtain an initial channel estimation value of each pilot frequency aiming at the same CDM group.
Wherein, Y (k) represents the nth sub-carrier received data corresponding to the kth pilot position, which can be represented by formula (1):
Y(k)=H 0 (k)W 0 (k)S(k)+H 1 (k)W 1 (k)S(k)+N(k) (1)
for DMRS Type0, n =2 × k; for DMRS Type1, n = k +6 × floor (k/2).
Wherein, N (k) is the noise received by the nth subcarrier corresponding to the kth pilot frequency position; s (k) is the nth subcarrier scrambling code corresponding to the kth pilot frequency position, W i (k) An nth subcarrier OCC sequence corresponding to a kth pilot frequency position on an ith port; h i (k) The actual channel value of the nth sub-carrier corresponding to the kth pilot frequency position on the ith port; i =0 or 1.
After the DMRS descrambling operation S401 is performed on Y (k), an initial channel estimation value H (k) of the k-th pilot position is obtained, which can be expressed by the following formula (2):
H(k)=Y(k)S * (k)=H 0 (k)W 0 (k)+H 1 (k)W 1 (k)+N(k)S * (k) (2)
wherein k is a non-negative integer, k =0,1,2, …; s (k) is the conjugate of S (k).
The operation of step S402 based on the OCC packet, i.e., S301 in fig. 3, is performed for H (k).
In one embodiment, two different OCC sequences exist in the same CDM group, and the initial channel estimation value H (k) is divided into an OCC0 group and an OCC1 group, so that the initial channel estimation value corresponding to the OCC0 group can be obtained: h (k), k is even number, k =0,2,4, …, corresponding OCC sequence is [ W 0 (k),W 1 (k)]=[+1,+1](ii) a Correspondingly, getInitial channel estimate values corresponding to the obtained OCC1 group: h (k), k is odd number, k =1,3,5, …, corresponding OCC sequence is [ W 0 (k),W 1 (k)]=[+1,-1]。
Optionally, when two different OCC sequences exist in the same CDM group, where the two OCC sequences include a first OCC sequence (corresponding to OCC0 group) and a second OCC sequence (corresponding to OCC1 group), the OCC is decoded for the channel estimation values of different groups of pilots according to the following formula (i.e., step S404 is executed), so as to obtain a channel estimation value on each port: according to
Figure BDA0002989438370000071
Calculating channel estimation value on each port
Figure BDA0002989438370000072
Figure BDA0002989438370000081
Figure BDA0002989438370000082
Wherein the content of the first and second substances,
Figure BDA0002989438370000083
for the channel estimation value of the nth subcarrier of the ith group of pilot frequencies, the value of i =0,1, i is determined according to the number of OCC sequences; n is a non-negative integer, n =0,1,2 …;
Figure BDA0002989438370000084
j =0,1 is the channel estimate for the nth subcarrier on the jth port.
Referring to fig. 1 and fig. 2 again, in conjunction with the NR existing protocol, DMRS Type0 supports at most 4 ports in a single symbol case, where ports 0/1 and 2/3 are in different Code-division multiplexing (CDM) groups. Within each CDM group, for example, the CDM group in which ports 0 and 1 are located, orthogonality is achieved by OCC in the frequency domain, and thus orthogonality of 4 ports is achieved. The DMRS Type0 supports at most 8 ports in a dual-symbol case, and can be orthogonal based on a time domain OCC in addition to a frequency domain OCC, so that more ports can be supported.
The DMRS Type1 supports a maximum of 6 ports in a single symbol case, and three CDM groups are provided, and orthogonality is achieved by frequency domain OCC in each CDM group. DMRS Type1 supports 12 ports at most in the case of dual symbols, and similarly to the case of DMRS Type0 dual symbols, the DMRS Type1 may also support more ports by using a time domain OCC in addition to a frequency domain OCC.
In summary, it can be seen that, within the same CDM group, there are at most two ports, i.e. j takes a value of 0 or 1.
In one embodiment, please refer to fig. 3 and 5, fig. 5 is a flowchart illustrating a third channel estimation method based on OCC sequence grouping according to an embodiment of the present invention; before grouping the pilots of the same CDM group to obtain a plurality of groups of pilots in step S301, the method further includes: step S501, judging whether the DMRS pilot frequency patterns of the same CDM group are distributed at equal intervals; if the result of the determination is negative, the procedure continues to step S301, where the pilots in the same CDM group are grouped to obtain several groups of pilots, and step S302 and step S303 are performed.
If the determination result in step S501 is yes, step S502 is executed to directly perform channel estimation on pilots of the same CDM group. I.e. no grouping of pilots is required.
Optionally, the channel estimation directly performed on the pilots in the same CDM group may be performed according to the existing channel estimation methods, such as linear interpolation, wiener filtering, IFFT-based transform, fast Fourier Transform (FFT) -based transform, and the like.
In this embodiment, if the DMRS pilot patterns in the same CDM group are distributed at equal intervals (i.e., uniformly distributed, as in the case shown in fig. 1), the channel estimation values of each port can be obtained by directly using the channel estimation method in the IFFT/FFT transform domain. When the DMRS pilot patterns in the same CDM group are distributed at unequal intervals, channel estimation needs to be performed after grouping according to the OCC sequence, so that the channel estimation value of each port can be obtained.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a channel estimation device 60 based on OCC sequence grouping; the OCC sequence packet-based channel estimation apparatus 60 includes:
a grouping module 601, configured to group pilots of the same CDM group to obtain a plurality of groups of pilots, where OCC sequences of each group of pilots are the same;
a grouping channel estimation module 602, configured to perform channel estimation on each group of pilot frequencies to obtain a channel estimation value of each subcarrier of each group of pilot frequencies;
a port channel estimation module 603, configured to decode the OCCs of the channel estimation values of different sets of pilots to obtain a channel estimation value on each port.
Optionally, the OCC sequences corresponding to adjacent pilots of the same CDM are different.
In one embodiment, before grouping the pilots of the same CDM group to obtain several groups of pilots, the OCC sequence grouping-based channel estimation apparatus 60 further comprises: and the descrambling module is used for descrambling each pilot frequency in the group aiming at the same CDM group to obtain the initial channel estimation value of each pilot frequency.
In one embodiment, the initial channel estimate H (k) for the kth pilot is expressed by the following equation:
H(k)=Y(k)S*(k)=H 0 (k)W 0 (k)+H 1 (k)W 1 (k)+N(k)S * (k) K is a non-negative integer, k =0,1,2, …;
wherein Y (k) = H 0 (k)W 0 (k)S(k)+H 1 (k)W 1 (k)S(k)+N(k);
Y (k) is data received by a subcarrier corresponding to the kth pilot frequency position; n (k) is noise received by a subcarrier corresponding to the kth pilot frequency position; s (k) is a subcarrier scrambling code corresponding to the kth pilot frequency position, and S x (k) is the conjugate of S (k); w i (k) A subcarrier OCC sequence corresponding to a k pilot frequency position on an ith port; h i (k) The actual channel value of the subcarrier corresponding to the k pilot frequency position on the ith port is obtained; i =0 or 1.
In one embodiment, the OCC sequence comprises a first OCC sequenceAnd the column and the second OCC sequence decode the OCCs of the channel estimation values of different groups of pilot frequency according to the following formula to obtain the channel estimation value on each port: according to
Figure BDA0002989438370000101
Calculating a channel estimation value on each port;
Figure BDA0002989438370000102
wherein the content of the first and second substances,
Figure BDA0002989438370000103
i =0,1 for the channel estimate for the nth subcarrier of the ith group of pilots; n is a non-negative integer, n =0,1,2 …;
Figure BDA0002989438370000104
j =0,1 is the channel estimate for the nth subcarrier on the jth port.
In one embodiment, the grouped channel estimation module 602 performs channel estimation on the pilots of each group by using at least one of the following channel estimation methods: linear interpolation, wiener filtering, IFFT-based transformation, FFT-based transformation.
In one embodiment, before grouping the pilots of the same CDM group into several groups of pilots, the OCC sequence grouping-based channel estimation apparatus 60 further comprises: the judging module is used for judging whether the pilot frequency patterns of the DMRS of the same CDM group are distributed at equal intervals or not; if the judgment result is negative, skipping to a grouping module, and continuously grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies. Optionally, if the determination result of the determining module is yes, the method jumps to a direct estimating module for directly performing channel estimation on the pilots in the same CDM group.
For more details of the operation principle and the operation mode of the channel estimation device 60 based on the OCC sequence packet, reference may be made to fig. 3 to 5 for the relevant description of the channel estimation method based on the OCC sequence packet, and details are not repeated here.
In a specific implementation, the channel estimation device 60 based On the OCC sequence grouping may correspond to a Chip having a channel estimation function based On the OCC sequence grouping in a terminal, or correspond to a Chip having a data processing function, such as a System-On-a-Chip (SOC), a baseband Chip, or the like; or the chip module is corresponding to the chip module which comprises a channel estimation function chip based on OCC sequence grouping in the terminal; or to a chip module having a chip with a data processing function, or to a terminal.
Embodiments of the present invention further provide a storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method in fig. 3 to 5. The storage medium may be a computer-readable storage medium, and may include, for example, a non-volatile (non-volatile) or non-transitory (non-transitory) memory, and may further include an optical disc, a mechanical hard disk, a solid state hard disk, and the like.
An embodiment of the present invention further provides a computer device, which may include the apparatus shown in fig. 6. Alternatively, the computer device may comprise a memory and a processor, the memory having stored thereon a computer program operable on the processor, the processor executing the computer program to perform the steps of the method of any of the embodiments of fig. 3 to 5.
Specifically, in the embodiment of the present invention, the processor may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will also be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash memory. Volatile memory may be Random Access Memory (RAM) which acts as external cache memory. By way of example and not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlronous DRAM (SLDRAM), and direct bus RAM (DR RAM).
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein indicates that the former and latter associated objects are in an "or" relationship.
The "plurality" appearing in the embodiments of the present application means two or more.
The descriptions of the first, second, etc. appearing in the embodiments of the present application are only for illustrating and differentiating the objects, and do not represent the order or the particular limitation of the number of the devices in the embodiments of the present application, and do not constitute any limitation to the embodiments of the present application.
The term "connection" in the embodiment of the present application refers to various connection manners such as direct connection or indirect connection, so as to implement communication between devices, which is not limited in this embodiment of the present application.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected by one skilled in the art without departing from the spirit and scope of the invention, as defined in the appended claims.

Claims (8)

1. A channel estimation method based on OCC sequence grouping, the method comprising:
grouping the pilot frequencies in the same CDM group to obtain a plurality of groups of pilot frequencies, wherein OCC sequences of each group of pilot frequencies are the same, and OCC sequences corresponding to adjacent pilot frequencies in the same CDM are different;
respectively carrying out channel estimation on the pilot frequency of each group to obtain the channel estimation value of each subcarrier of each group of pilot frequency;
decoding OCC of the channel estimation values of different groups of pilot frequencies to obtain a channel estimation value on each port;
before grouping the pilots of the same CDM group to obtain a plurality of groups of pilots, the method further includes:
judging whether pilot frequency patterns of DMRSs of the same CDM group are distributed at equal intervals or not;
if the result is negative, the pilot frequency of the same CDM group is continuously grouped to obtain a plurality of groups of pilot frequencies.
2. The method of claim 1, wherein grouping pilots of the same CDM group results in several groups of pilots, further comprising:
and descrambling each pilot frequency in the group to obtain an initial channel estimation value of each pilot frequency aiming at the same CDM group.
3. The method of claim 2, wherein the initial channel estimate H (k) for the kth pilot is expressed by the following equation:
H(k)=Y(k)S * (k)=H 0 (k)W 0 (k)+H 1 (k)W 1 (k)+N(k)S * (k) K is a non-negative integer, k =0,1,2, …;
wherein Y (k) = H 0 (k)W 0 (k)S(k)+H 1 (k)W 1 (k)S(k)+N(k);
Y (k) is subcarrier receiving data corresponding to the kth pilot frequency position; n (k) is noise received by a subcarrier corresponding to the kth pilot frequency position; s (k) is the subcarrier scrambling code corresponding to the k pilot frequency position, S * (k) Is the conjugate of S (k); w i (k) A subcarrier OCC sequence corresponding to a k pilot frequency position on an ith port; h i (k) The actual channel value of the subcarrier corresponding to the k pilot frequency position on the ith port is obtained; i =0 or 1.
4. The method of claim 3, wherein the OCC sequences comprise a first OCC sequence and a second OCC sequence, and wherein the OCC is decoded for the channel estimation values of different sets of pilots according to the following formula to obtain the channel estimation value on each port:
according to
Figure FDA0003800670840000021
Calculating a channel estimation value on each port;
Figure FDA0003800670840000022
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003800670840000023
i =0,1 for the channel estimate for the nth subcarrier of the ith group of pilots; n is a non-negative integer, n =0,1,2 …;
Figure FDA0003800670840000024
j =0,1 is the channel estimate for the nth subcarrier on the jth port.
5. The method of claim 1, wherein the channel estimation is performed for the pilots in each group by at least one of the following channel estimation methods: linear interpolation, wiener filtering, IFFT-based transformation, FFT-based transformation.
6. An apparatus for channel estimation based on OCC sequence grouping, the apparatus comprising:
the device comprises a grouping module, a receiving module and a processing module, wherein the grouping module is used for grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies, the OCC sequences of each group of pilot frequencies are the same, and the OCC sequences corresponding to the adjacent pilot frequencies of the same CDM are different; the grouped channel estimation module is used for respectively carrying out channel estimation on the pilot frequency of each group to obtain the channel estimation value of each subcarrier of each group of pilot frequency;
the port channel estimation module is used for decoding OCCs of the channel estimation values of different groups of pilot frequencies to obtain a channel estimation value on each port;
before grouping the pilots in the same CDM group to obtain a plurality of groups of pilots, the OCC sequence grouping-based channel estimation apparatus further includes: the judging module is used for judging whether the pilot frequency patterns of the DMRS of the same CDM group are distributed at equal intervals or not; if the judgment result is negative, skipping to a grouping module, and continuously grouping the pilot frequencies of the same CDM group to obtain a plurality of groups of pilot frequencies.
7. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, performing the steps of the method according to any of the claims 1 to 5.
8. A computer arrangement comprising an apparatus as claimed in claim 6, or comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, wherein the processor, when executing the computer program, performs the steps of the method of any of claims 1 to 5.
CN202110310721.2A 2021-03-23 2021-03-23 Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment Active CN113079118B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110310721.2A CN113079118B (en) 2021-03-23 2021-03-23 Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110310721.2A CN113079118B (en) 2021-03-23 2021-03-23 Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment

Publications (2)

Publication Number Publication Date
CN113079118A CN113079118A (en) 2021-07-06
CN113079118B true CN113079118B (en) 2023-01-24

Family

ID=76613599

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110310721.2A Active CN113079118B (en) 2021-03-23 2021-03-23 Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment

Country Status (1)

Country Link
CN (1) CN113079118B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102202027A (en) * 2010-03-26 2011-09-28 中兴通讯股份有限公司 Method and device for generating pilot frequency sequence
WO2016115627A1 (en) * 2015-01-20 2016-07-28 ZTE Canada Inc. Channel estimation using composite subcarriers and combined pilots
CN109039567A (en) * 2018-08-21 2018-12-18 电子科技大学 A kind of pilot tone of SCMA multiple access system and data investigation transmission method

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107040345B (en) * 2016-02-03 2020-12-18 华为技术有限公司 Method and apparatus for transmitting pilot signal
CN108880769B (en) * 2017-05-15 2021-06-08 华为技术有限公司 Communication method and device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102202027A (en) * 2010-03-26 2011-09-28 中兴通讯股份有限公司 Method and device for generating pilot frequency sequence
WO2016115627A1 (en) * 2015-01-20 2016-07-28 ZTE Canada Inc. Channel estimation using composite subcarriers and combined pilots
CN109039567A (en) * 2018-08-21 2018-12-18 电子科技大学 A kind of pilot tone of SCMA multiple access system and data investigation transmission method

Also Published As

Publication number Publication date
CN113079118A (en) 2021-07-06

Similar Documents

Publication Publication Date Title
JP6001760B2 (en) Filter bank multicarrier signal transmission and channel estimation method and apparatus
US9001935B2 (en) Method and arrangement in wireless communications system
WO2015032313A2 (en) System and method for channel estimation for generalized frequency division multiplexing (gfdm)
WO2011136985A1 (en) Compressed sensing channel estimation in ofdm communication systems
US20120121048A1 (en) Multi-antenna channel estimation method based on polyphase decomposition
CN103595664A (en) Channel estimation method and device in multiple-receiving antenna system
Aminjavaheri et al. Frequency spreading equalization in multicarrier massive MIMO
CN111200571A (en) Signal transmission method and device
Rottenberg et al. Preamble-based channel estimation in asynchronous FBMC-OQAM distributed MIMO systems
CN102130860B (en) Estimation method of two-dimensional discrete Fourier transform channel with phase compensation
Ali et al. On improved DFT-based low-complexity channel estimation algorithms for LTE-based uplink NB-IoT systems
JP7129996B2 (en) Method and device for inserting K pairs of reference signals
CN103379070B (en) A kind of RE detection methods and device
CN110392003B (en) Signal receiving method and device
CN107294678A (en) Method and communication equipment for channel estimation
JP2020515168A5 (en)
CN113079118B (en) Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment
CN109672641B (en) LTE downlink channel estimation method suitable for complex environment
Ali et al. Optimum DCT type-I based transceiver model and effective channel estimation for uplink NB-IoT system
EP2149239A2 (en) Channel estimation
CN112152950B (en) Channel estimation method and device based on sparse scattered pilot frequency in OFDM system
US10498557B2 (en) Channel estimation for ZT DFT-s-OFDM
WO2017097077A1 (en) Data processing method and apparatus
CN108243124B (en) Channel estimation method and device
Huang et al. A Spatial-Specific Neural Network Based OFDM Channel Estimation Under Time-Varying Channels

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