CN113079118A - 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 PDFInfo
- Publication number
- CN113079118A CN113079118A CN202110310721.2A CN202110310721A CN113079118A CN 113079118 A CN113079118 A CN 113079118A CN 202110310721 A CN202110310721 A CN 202110310721A CN 113079118 A CN113079118 A CN 113079118A
- Authority
- CN
- China
- Prior art keywords
- channel estimation
- group
- pilot
- occ
- pilot frequency
- 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
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000004590 computer program Methods 0.000 claims description 12
- 230000009466 transformation Effects 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 5
- 238000009826 distribution Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 101001062535 Homo sapiens Follistatin-related protein 1 Proteins 0.000 description 3
- 101001122162 Homo sapiens Overexpressed in colon carcinoma 1 protein Proteins 0.000 description 3
- 102100027063 Overexpressed in colon carcinoma 1 protein Human genes 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- 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
- H04L25/0224—Channel 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, the OCC is solved for different groups to obtain the 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
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 Type 1. 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 a 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)＝H0(k)W0(k)+H1(k)W1(k)+N(k)S*(k) K is a non-negative integer, k is 0,1,2, …; wherein Y (k) ═ H0(k)W0(k)S(k)+H1(k)W1(k) S (k) + N (k); y (k) receiving data for the sub-carrier corresponding to the k 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-th pilot position, S (k) is the conjugate of S (k); wi(k) A subcarrier OCC sequence corresponding to a k pilot frequency position on an ith port; hi(k) The actual channel value of the subcarrier corresponding to the k pilot frequency position on the ith port is obtained; i is 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
Calculating a channel estimation value on each port;
wherein,
the channel estimation value of the nth subcarrier of the ith group pilot frequency is that i is 0, 1; n is a non-negative integer, n is 0,1,2 …;
j is 0,1, which is a channel estimation value of 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 channel estimation apparatus based on OCC sequence packets, or includes a memory and a processor, where the memory stores a computer program executable on the processor, and the processor executes the steps of any one of the above channel estimation methods based on OCC sequence packets 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, so that the channel estimation value of each port can be obtained.
Drawings
Fig. 1 is a diagram of a DMRS Type0 pilot pattern of the prior art;
fig. 2 is a diagram of a DMRS Type1 pilot pattern of 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
DMRSs are classified into Type0 (denoted as Type0) and Type1 (denoted as Type1), and indicated by a parameter DMRS-Type, and are 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 DMRS Type0 in the prior art, and fig. 2 is a schematic diagram of 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 where ports 0 and 1 are located are also orthogonal through the OCC in the frequency domain, so as to implement orthogonality of 4 ports. Type0 supports a maximum of 8 ports in a dual 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 maximum 6 ports in case of single symbol, and has three CDM groups, and within each CDM group, orthogonality is achieved through frequency domain OCC. Type1 supports a maximum of 12 ports in the case of two symbols, and can support more ports in the time domain OCC in addition to the frequency domain OCC, as in the case of Type0 two symbols. In the following, taking 1 Physical Resource Block (PRB) under a single symbol condition, two ports (ports) are supported in the same CDM group, and the two ports are respectively denoted as Port0 and Port1, which introduces the problems existing in the prior art:
in general, the pilots in the same CDM group include the pilots of Port0 and the pilots of Port1, which are obtained by overlapping different Orthogonal Cover Code (OCC) sequences based on the frequency domain.
If DMRS precoding is wideband mode, for DMRS Type0, DMRS pilot patterns within the same CDM group are equally spaced (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, DMRS pilot patterns are not uniformly distributed (the distribution of pilot patterns is shown in fig. 2), 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 (represented by "+"' in fig. 2), and pilots 1 and 7 correspond to the same OCC sequence (represented by "+" infig. 2). With this distribution, IFFT cannot be performed directly, and Port0 and Port1 are distinguished in the time domain.
If DMRS precoding is a narrowband mode, and also includes two DMRS pilot images as in fig. 1 and fig. 2, however, due to 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 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 comprehensible, embodiments accompanied with 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, abbreviated as terminal) 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 steps S301 to 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, each group of pilots including 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 as to obtain the channel estimation value on the port.
In a specific embodiment, continuing with the example of supporting two ports 0 and 1 within the same CDM group, the distribution of these pilots includes both types Type0 and Type1 of fig. 1 and 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 channel estimation is performed on each group, 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)＝H0(k)W0(k)S(k)+H1(k)W1(k)S(k)+N(k) (1)
for DMRS Type0, n is 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 sub-carrier scrambling code corresponding to the kth pilot frequency position, Wi(k) An nth subcarrier OCC sequence corresponding to a kth pilot frequency position on an ith port; hi(k) For the k-th port on the ith portThe actual channel value of the nth sub-carrier corresponding to the pilot frequency position; i is 0 or 1.
After the DMRS descrambling in step 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)＝H0(k)W0(k)+H1(k)W1(k)+N(k)S*(k) (2)
wherein k is a non-negative integer, k is 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 on h (k).
In one embodiment, two different OCC sequences exist in the same CDM group, and the initial channel estimation values h (k) are divided into OCC0 group and OCC1 group, so that the initial channel estimation values corresponding to OCC0 group can be obtained: h (k), when k is an even number and k is 0,2,4, …, the corresponding OCC sequence is [ W0(k),W1(k)]＝[+1,+1](ii) a Correspondingly, the obtained initial channel estimation values corresponding to the OCC1 group are: h (k), when k is odd, and k is 1,3,5, …, the corresponding OCC sequence is [ W0(k),W1(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 (OCC1 group), the OCCs are 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
Calculating channel estimation value on each port
Wherein,
the channel estimation value of the nth subcarrier of the ith group of pilot frequency is that i is 0, and the value of 1, i is determined according to the number of OCC sequences; n is a non-negative integer, n is 0,1,2 …;
j is 0,1, which is a channel estimation value of the nth subcarrier on the jth port.
Referring again to fig. 1 and 2, in conjunction with NR existing protocols, DMRS Type0 supports at most 4 ports in a single symbol case, where port 0/1 and port 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 a maximum of 8 ports in a dual-symbol case, and may implement orthogonality based on a time domain OCC in addition to a frequency domain OCC, so that more ports may be supported.
The DMRS Type1 supports a maximum of 6 ports in a single symbol case, and three CDM groups are implemented within each CDM group by frequency domain OCC. DMRS Type1 may support a maximum of 12 ports in a dual-symbol case, and may support more ports by using a time domain OCC in addition to a frequency domain OCC, similarly to the DMRS Type0 dual-symbol case.
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 several 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 to obtain an initial channel estimation value of each pilot frequency aiming at the same CDM group.
In one embodiment, the initial channel estimate h (k) for the kth pilot is represented by the following equation:
H(k)＝Y(k)S*(k)＝H0(k)W0(k)+H1(k)W1(k)+N(k)S*(k) k is a non-negative integer, k is 0,1,2, …;
wherein Y (k) ═ H0(k)W0(k)S(k)+H1(k)W1(k)S(k)+N(k)；
Y (k) receiving data for the sub-carrier corresponding to the k 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-th pilot position, S (k) is the conjugate of S (k); wi(k) A subcarrier OCC sequence corresponding to a k pilot frequency position on an ith port; hi(k) The actual channel value of the subcarrier corresponding to the k pilot frequency position on the ith port is obtained; i is 0 or 1.
In one embodiment, the OCC sequence includes a first OCC sequence and a second OCC sequence, and the OCC is decoded for the channel estimation values of different sets of pilots according to the following formula to obtain a channel estimation value on each port: according to
Calculating a channel estimation value on each port;
wherein,
the channel estimation value of the nth subcarrier of the ith group pilot frequency is that i is 0, 1; n is a non-negative integer, n is 0,1,2 …;
j is 0,1, which is a channel estimation value of 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 to obtain 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 direct estimating module is skipped to, and the direct estimating module is used to directly perform channel estimation on the pilots of 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 can 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 (enhanced SDRAM), SDRAM (SLDRAM), synchlink 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 "/" in this document indicates that the former and latter related 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 "connect" in the embodiments of the present application refers to various connection manners, such as direct connection or indirect connection, 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 therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A channel estimation method based on OCC sequence grouping, the method comprising:
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.
2. The method of claim 1, wherein adjacent pilots of the same CDM correspond to different OCC sequences.
3. The method of claim 1, wherein before grouping pilots of the same CDM group into 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.
4. The method of claim 3, wherein the initial channel estimation value H (k) of the k-th pilot is expressed by the following formula:
H(k)＝Y(k)S*(k)＝H0(k)W0(k)+H1(k)W1(k)+N(k)S*(k) k is a non-negative integer, k is 0,1,2, …;
wherein Y (k) ═ H0(k)W0(k)S(k)+H1(k)W1(k)S(k)+N(k)；
Y (k) receiving data for the sub-carrier corresponding to the k 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); wi(k) A subcarrier OCC sequence corresponding to a k pilot frequency position on an ith port; hi(k) The actual channel value of the subcarrier corresponding to the k pilot frequency position on the ith port is obtained; i is 0 or 1.
5. The method of claim 4, 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
Calculating a channel estimation value on each port;
wherein,
the channel estimation value of the nth subcarrier of the ith group pilot frequency is that i is 0, 1; n is a non-negative integer, n is 0,1,2 …;
j is 0,1, which is a channel estimation value of the nth subcarrier on the jth port.
6. 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.
7. The method of claim 1, wherein before grouping pilots of the same CDM group into groups of pilots, further comprising:
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.
8. An apparatus for channel estimation based on OCC sequence grouping, the apparatus comprising:
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.
9. 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 one of claims 1 to 7.
10. A computer arrangement comprising an apparatus as claimed in claim 8, 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 one of claims 1 to 7.
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 true CN113079118A (en) | 2021-07-06 |
| CN113079118B 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 (5)
| 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 |
| CN108880769A (en) * | 2017-05-15 | 2018-11-23 | 华为技术有限公司 | Communication means and device |
| 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 |
| US20180367274A1 (en) * | 2016-02-03 | 2018-12-20 | Huawei Technologies Co., Ltd. | Method and apparatus for transmitting pilot signal |
-
2021
- 2021-03-23 CN CN202110310721.2A patent/CN113079118B/en active Active
Patent Citations (5)
| 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 |
| US20180367274A1 (en) * | 2016-02-03 | 2018-12-20 | Huawei Technologies Co., Ltd. | Method and apparatus for transmitting pilot signal |
| CN108880769A (en) * | 2017-05-15 | 2018-11-23 | 华为技术有限公司 | Communication means and device |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| ERICSSON: "R1-1703284 "On DM-RS for DL Control Channels"", 《3GPP TSG_RAN\WG1_RL1》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113079118B (en) | 2023-01-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6001760B2 (en) | Filter bank multicarrier signal transmission and channel estimation method and apparatus | |
| CN103283199B (en) | Method and apparatus in wireless communication system | |
| WO2015032313A2 (en) | System and method for channel estimation for generalized frequency division multiplexing (gfdm) | |
| CN109391403B (en) | Method and apparatus for transmission and reception of wireless signals | |
| Aminjavaheri et al. | Frequency spreading equalization in multicarrier massive MIMO | |
| WO2017041495A1 (en) | Frequency offset estimation method and apparatus | |
| CN110830395A (en) | Method, apparatus, and computer storage medium for data detection in a communication system | |
| JP7129996B2 (en) | Method and device for inserting K pairs of reference signals | |
| US20240097956A1 (en) | Projected signals using discrete prolate spheroidal sequences | |
| CN103379070B (en) | A kind of RE detection methods and device | |
| US20240094336A1 (en) | Affine frequency division multiplexing waveforms for doubly dispersive channels | |
| CN108234366B (en) | Apparatus and method for frequency domain inter-carrier interference compensation | |
| US10498557B2 (en) | Channel estimation for ZT DFT-s-OFDM | |
| JP2020515168A5 (en) | ||
| Ali et al. | Optimum DCT type-I based transceiver model and effective channel estimation for uplink NB-IoT system | |
| CN113079118B (en) | Channel estimation method and device based on OCC sequence grouping, storage medium and computer equipment | |
| Berardinelli et al. | Reference sequence design for zero-tail DFT-spread-OFDM | |
| EP2149239A2 (en) | Channel estimation | |
| Huang et al. | Pilot-aided channel estimation for systems with virtual carriers | |
| CN112152950B (en) | Channel estimation method and device based on sparse scattered pilot frequency in OFDM system | |
| WO2017097077A1 (en) | Data processing method and apparatus | |
| CN105024950B (en) | A kind of data detection method | |
| KR20140059929A (en) | Method and apparatus for estimating channel based on compressive sensing in multicarrier system | |
| Huang et al. | A Spatial-Specific Neural Network Based OFDM Channel Estimation Under Time-Varying Channels | |
| CN102255847A (en) | Low-complexity method for offset correction of carrier frequency |
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 |