CN109302360B - Channel estimation method and device, computer readable storage medium and terminal - Google Patents
Channel estimation method and device, computer readable storage medium and terminal Download PDFInfo
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- H04L25/022—Channel estimation of frequency response
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- H04L25/0224—Channel estimation using sounding signals
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Abstract
A channel estimation method and device, a computer-readable storage medium and a terminal are provided, wherein the channel estimation method comprises the following steps: performing initial channel estimation by using pilot frequency on a frequency domain to obtain a plurality of initial channel estimation values; performing filtering processing on the selected M initial channel estimation values by using a filter bank to obtain a plurality of filtering results, wherein the filter bank comprises a plurality of filters with various passband widths, and M is the number of taps of the filters in the filter bank; and selecting the filtering result with the minimum error value with the M initial channel estimation values as the channel estimation value from the plurality of filtering results. The technical scheme of the invention can improve the accuracy and the application range of channel estimation.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a channel estimation method and apparatus, a computer-readable storage medium, and a terminal.
Background
Channel estimation is an important data processing operation in modern communication systems, especially systems that employ Orthogonal Frequency Division Multiplexing (OFDM) as the physical layer core technology. The channel estimation is specifically a process of estimating the influence of the transmitted signal passing through the channel under a certain criterion according to the data at the receiving end. The essence of channel estimation is to estimate the channel state information, and the state information of the channel can be obtained in two ways: one method is to insert known information (e.g., pilot) into data subcarriers in the time domain and/or frequency domain, and estimate channel information by channel interference with the known information, which has a certain loss to system bandwidth, but can obtain better performance, and is widely used; another way is to estimate the channel information by using statistics of a large number of received signals, which does not require pilot information.
In the prior art, the existing methods for frequency domain channel estimation can be roughly classified into the following categories: the first category, transform domain methods, which require conversion of the frequency domain to the time domain, is commonly referred to as fourier transform; second, channel statistics are needed to be utilized or obtained, and the common modes are maximum multipath delay spread, channel delay power spectrum, doppler spread and the like; thirdly, correcting channel estimation by using non-pilot decision feedback; the fourth category, utilize the adaptive filtering algorithm to carry on the adaptive channel estimation; and the fifth type, curve fitting is carried out by utilizing curve fitting interpolation, and the common modes are linear interpolation, parabolic interpolation and the like.
However, the first method requires a transform operation and may be distorted during transform domain processing. The second category of methods requires methods that utilize channel statistics, which are limited in use in certain scenarios where channel statistics are difficult to obtain or accurately calculated. The decision feedback of the third method may cause the problem of propagation of decision errors. The fourth method requires iterative convergence and also relies on a good initial channel estimation as a training initial state, and convergence is difficult for some fast time-varying channels, such as in a high-speed railway scenario. The fifth method adopts a single filter coefficient for channel filtering, and cannot match the characteristics of an actual channel.
Disclosure of Invention
The technical problem solved by the invention is how to improve the accuracy and the application range of channel estimation.
In order to solve the above technical problem, an embodiment of the present invention provides a channel estimation method, where the channel estimation method includes: performing initial channel estimation by using pilot frequency on a frequency domain to obtain a plurality of initial channel estimation values; performing filtering processing on the selected M initial channel estimation values by using a filter bank to obtain a plurality of filtering results, wherein the filter bank comprises a plurality of filters with various passband widths, and M is the number of taps of the filters in the filter bank; and selecting the filtering result with the minimum error value with the M initial channel estimation values as the channel estimation value from the plurality of filtering results.
Optionally, the filtering, by using the filter bank, the selected M initial channel estimation values includes: and respectively carrying out filtering processing on the M initial channel estimation values by using the plurality of filters, and determining a plurality of filtering results.
Optionally, the bandwidth range width of the filter with the largest pass bandwidth among the plurality of filters covers the bandwidth ranges of the other filters.
Optionally, the filtering, by using the filter bank, the selected M initial channel estimation values includes: selecting at least one filter with the maximum passband width to filter the M initial channel estimation values, and calculating error values of at least one filtering result obtained by filtering and the M initial channel estimation values; performing at least one iterative filtering, wherein in each iterative filtering, a filtering result with the minimum error value with the M initial channel estimation values in the last obtained filtering result is determined, a filter is selected to perform filtering processing according to a mode of decreasing the channel width in the bandwidth range of the filter used by the filtering result, and the error values of the filtering result obtained by the filtering processing and the M initial channel estimation values are calculated until no other filter exists in the bandwidth range of the selected filter; and determining a filtering result with the minimum error value between the filtering result after each iteration of filtering and the M initial channel estimation values as the plurality of filtering results.
Optionally, the plurality of filters have different bandwidth ranges and/or pass band widths in the time domain.
Optionally, the error value is a difference between a filtering result and a median or a mean of the M initial channel estimation values.
The embodiment of the invention also discloses a channel estimation device, which comprises: the initial estimation module is suitable for carrying out initial channel estimation by utilizing pilot frequency on a frequency domain to obtain a plurality of initial channel estimation values; the filter processing module is suitable for performing filter processing on the M initial channel estimation values by using a filter bank to obtain a plurality of filter results, wherein the filter bank comprises a plurality of filters with various passband widths, and M is the number of taps of the filters in the filter bank; and the selection module is suitable for selecting the filtering result with the minimum error value with the M initial channel estimation values from the plurality of filtering results as the channel estimation value.
Optionally, the filtering processing module performs filtering processing on the M initial channel estimation values by using the plurality of filters, and determines the plurality of filtering results.
Optionally, the bandwidth range width of the filter with the largest pass bandwidth among the plurality of filters covers the bandwidth ranges of the other filters.
Optionally, the filtering processing module includes: the initial filtering unit is suitable for selecting at least one filter with the maximum passband width to carry out filtering processing on the M initial channel estimation values and calculating error values of at least one filtering result obtained by the filtering processing and the M initial channel estimation values; the iterative filtering unit is suitable for performing iterative filtering for at least one time, wherein in each iterative filtering, a filtering result with the minimum error value with the M initial channel estimation values in the filtering result obtained last time is determined, a filter is selected to perform filtering processing according to a mode of decreasing the channel width in the bandwidth range of the filter used by the filtering result, and the error values of the filtering result obtained by the filtering processing and the M initial channel estimation values are calculated until no other filter exists in the bandwidth range of the selected filter; a filtering result determining unit adapted to determine, as the plurality of filtering results, a filtering result that is filtered for each iteration and has a smallest error value with the M initial channel estimation values.
Optionally, the plurality of filters have different bandwidth ranges and/or pass band widths in the time domain.
Optionally, the error value is a difference between a filtering result and a median or a mean of the M initial channel estimation values.
The embodiment of the invention also discloses a computer readable storage medium, which stores computer instructions, and the computer instructions execute the steps of the channel estimation method when running.
The embodiment of the invention also discloses a terminal, which comprises a memory and a processor, wherein the memory is stored with a computer instruction capable of running on the processor, and the processor executes the steps of the channel estimation method when running the computer instruction.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
the technical scheme of the invention utilizes pilot frequency on a frequency domain to carry out preliminary channel estimation so as to obtain a plurality of initial channel estimation values; performing filtering processing on the selected M initial channel estimation values by using a filter bank to obtain a plurality of filtering results, wherein the filter bank comprises a plurality of filters with various passband widths, and M is the number of taps of the filters in the filter bank; and selecting the filtering result with the minimum error value with the M initial channel estimation values as the channel estimation value from the plurality of filtering results. According to the technical scheme, the initial channel estimation value is filtered by using the filter group formed by the filters with various pass band widths, and the filters with different pass band widths have different filtering performances, so that the optimal filtering result can be selected from the multiple filtering results to serve as the channel estimation value, and therefore better filtering processing of the initial channel estimation value is achieved, and accuracy of channel estimation is improved; in addition, the technical scheme of the invention is simple to implement, so that the application range is wider.
Further, the filtering the selected M initial channel estimation values by using the filter bank includes: selecting at least one filter with the maximum passband width to filter the M initial channel estimation values, and calculating error values of at least one filtering result obtained by filtering and the M initial channel estimation values; performing at least one iterative filtering, wherein in each iterative filtering, a filtering result with the minimum error value with the M initial channel estimation values in the last obtained filtering result is determined, a filter is selected to perform filtering processing according to a mode of decreasing the channel width in the bandwidth range of the filter used by the filtering result, and the error values of the filtering result obtained by the filtering processing and the M initial channel estimation values are calculated until no other filter exists in the bandwidth range of the selected filter; and determining a filtering result with the minimum error value between the filtering result after each iteration of filtering and the M initial channel estimation values as the plurality of filtering results. Compared with the mode of filtering one by using a plurality of filters, the technical scheme of the invention can reduce the filtering time and improve the filtering speed on the basis of ensuring the filtering accuracy by determining the filtering result with the minimum error value with the M initial channel estimation values in the filtering result obtained last time and carrying out iterative filtering within the bandwidth range of the filter used by the filtering result.
Drawings
Fig. 1 is a flow chart of a channel estimation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a filter bank according to an embodiment of the present invention;
FIG. 3 is a flowchart of an implementation of step S102 of FIG. 1;
fig. 4 is a schematic structural diagram of a channel estimation device according to an embodiment of the present invention.
Detailed Description
As described in the background, the first type of prior art methods require transform operations and may be distorted during transform domain processing. The second category of methods requires methods that utilize channel statistics, which are limited in use in certain scenarios where channel statistics are difficult to obtain or accurately calculated. The decision feedback of the third method may cause the problem of propagation of decision errors. The fourth method requires iterative convergence and also relies on a good initial channel estimation as a training initial state, and convergence is difficult for some fast time-varying channels, such as in a high-speed railway scenario. The fifth method adopts a single filter coefficient for channel filtering, and cannot match the characteristics of an actual channel.
According to the technical scheme, the initial channel estimation value is filtered by using the filter group formed by the filters with various pass band widths, and the filters with different pass band widths have different filtering performances, so that the optimal filtering result can be selected from the multiple filtering results to serve as the channel estimation value, and therefore better filtering processing of the initial channel estimation value is achieved, and accuracy of channel estimation is improved; in addition, the technical scheme of the invention is simple to implement, so that the application range is wider.
Compared with the first method in the prior art, the technical scheme of the invention does not need any transformation operation, thereby thoroughly avoiding the distortion possibly brought by the transformation domain processing. Compared with the second method in the prior art, the technical scheme of the invention can still be used in the scene that certain channel statistics is difficult to obtain or accurately calculated, so that the application range is wider. Compared with the third method in the prior art, the technical scheme of the invention does not utilize unknown non-pilot frequency, only uses known pilot frequency, thereby thoroughly avoiding the problem of decision error propagation and having high robustness. Compared with the fourth method in the prior art, the technical scheme of the invention does not use a self-adaptive method and has no convergence problem, so that the method can be used in the scenes of rapid time-varying channels such as high-speed railways, and has wider application range and high robustness. Compared with the fifth method in the prior art, the technical scheme of the invention does not adopt a single filter coefficient, but adopts a plurality of filters with various pass band widths, thereby being capable of matching the actual channel condition.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a flowchart of a channel estimation method according to an embodiment of the present invention.
The channel estimation method shown in fig. 1 may be used at the receiver side, and more specifically, at the receiver side in a communication link formed by a transmitter and a receiver. The channel estimation method shown in fig. 1 may include the steps of:
step S101: performing initial channel estimation by using pilot frequency on a frequency domain to obtain a plurality of initial channel estimation values;
step S102: performing filtering processing on the selected M initial channel estimation values by using a filter bank to obtain a plurality of filtering results, wherein the filter bank comprises a plurality of filters with various passband widths, and M is the number of taps of the filters in the filter bank;
step S103: and selecting the filtering result with the minimum error value with the M initial channel estimation values as the channel estimation value from the plurality of filtering results.
In a specific implementation, through step S101, a channel may be initially estimated in a frequency domain to obtain a plurality of initial channel estimation values. In particular, the plurality of initial channel estimates may be derived using known pilots. More specifically, the plurality of initial channel estimates may be performed using pilot symbols carried in the transmitted signal. It should be understood by those skilled in the art that the initial channel estimation can be implemented by any practicable existing technology, and the embodiment of the present invention is not limited thereto.
The plurality of initial channel estimation values obtained after step S101 include noise, and it is necessary to perform filtering processing for removing the noise. Step S102 is required to perform smoothing filtering to obtain more accurate channel estimation values.
In step S102, the selected M initial channel estimation values are filtered by a filter bank to obtain a plurality of filtering results. Specifically, the number of initial channels obtained after step S101 is usually large, and M initial channel estimation values are selected to match the number M of taps in the filter. The number of taps M of the filter is predetermined. More specifically, each tap of the filter corresponds to one filter coefficient, and M taps correspond to M filter coefficients, the process of filtering the M initial channel estimation values by the filter may include: and multiplying and summing the M initial channel estimation values by using M filter coefficients respectively.
It should be noted that, when designing a filter, the larger the number of taps M is, the better the filter performance is, but the more complicated the filter performance is, so the number of taps M can be selected as a compromise between the implementation complexity and the filter performance. The number M of taps of the filter may also be adaptively modified and configured according to the actual application environment, which is not limited in this embodiment of the present invention.
Further, the filter bank includes a plurality of filters having a plurality of pass-band widths. Since the filters with different pass-band widths have different filtering performances, a plurality of filters can obtain a plurality of different filtering results after filtering the M initial channel estimation values. Then, in step S103, the filtering result and the error values of the M initial channel estimation values are used to select an optimal filtering result, i.e. a filtering result with the minimum error value, as a final channel estimation value.
In this embodiment, the channel estimation is performed in the frequency domain, and thus the pass band width of the filter refers to the width in the time domain. The specific width values of the various pass band widths can be adaptively configured according to the actual application environment.
The embodiment of the invention utilizes the filter group formed by a plurality of filters with various pass band widths to filter the initial channel estimation value, and the filters with different pass band widths have different filtering performances, so that the optimal filtering result can be selected from the plurality of filtering results to be used as the channel estimation value, thereby realizing better filtering processing of the initial channel estimation value and further improving the accuracy of channel estimation; in addition, the technical scheme of the invention is simple to implement, so that the application range is wider.
Preferably, step S102 may include the steps of: and respectively carrying out filtering processing on the M initial channel estimation values by using the plurality of filters, and determining a plurality of filtering results.
In this embodiment, a plurality of filters in the filter bank are used to perform filtering processing on the M initial channel estimation values one by one, and each filter can obtain one filtering result after filtering. The channel estimation value is selected from a plurality of filtering results obtained by filtering with a plurality of filters.
Preferably, the bandwidth range width of the filter having the largest pass band width among the plurality of filters covers the bandwidth ranges of the other filters.
In a specific implementation, the action of each filter appears in the time domain as only retaining signals falling within the bandwidth covered by the filter, and has a filtering action on signals falling outside the bandwidth covered by the filter, and can be used for filtering noise.
In a specific implementation, there may be one or more filters with the largest pass band width. The filter with the largest pass band width covers all the bandwidth range within which the bandwidth ranges of the other filters with other pass band widths fall.
Further, the plurality of filters have different bandwidth ranges and/or pass-band widths in the time domain. That is, each filter in the filter bank corresponds to a pass-band width; the bandwidth range of the filter may represent its position in the time domain. More specifically, the pass-band width refers to the width of the pass-band of the filter, e.g., the width covered in the time domain; the pass band range refers to a range of positions occupied by the pass band of the filter, for example, a range of positions occupied in the time domain.
Specifically, referring to fig. 2, fig. 2 is a schematic structural diagram of a filter bank according to an embodiment of the present invention.
In this embodiment, the filter bank includes a plurality of filters having 4 kinds of pass-band widths, and the bandwidth range covered by the filter bank is 4 time-domain segments in total. Each time domain segment may represent a time period with a set duration, and a specific value of the set duration may be set according to an actual application environment. It will be appreciated by those skilled in the art that the larger the number of time-domain segments, the better the filtering performance of the filter bank, but the more complex it is, and therefore the number of time-domain segments can be chosen as a compromise between the implementation complexity and performance of the filter bank.
As shown in fig. 2, in the present embodiment, the filter bank includes 10 filters, wherein there are 4 filters with a pass band width W of 1; 3 filters with the passband width W of 2 are provided; 2 filters with the passband width W of 3 are provided; there are 1 filter with a pass band width W of 4. The pass-band width W may represent the number of occupied time-domain segments, e.g., a filter with a pass-band width W of 1 occupies one time-domain segment; the filter with the passband width W of 2 occupies two time domain segments; the filter with the passband width W of 3 occupies three time domain segments; a filter with a passband width W of 4 occupies four time domain segments.
With continued reference to fig. 2, the maximum pass-band width is 4, and the bandwidth range of the filter with pass-band width of 4 is (0, 4). The bandwidth ranges of the filter with the passband width of 3 are (0,3) and (1,4) respectively; the bandwidth ranges of the filter with the passband width of 2 are (0,2), (1,3) and (2,4) respectively; the bandwidth ranges of the filter with the passband width of 1 are (0,1), (1,2), (2,3) and (3,4), respectively. The bandwidth range of the other filter is covered in the bandwidth range (0,4) of the filter having the passband width of 4.
Further, referring to fig. 3, step S102 may include the following steps:
step S1021: selecting at least one filter with the maximum passband width to filter the M initial channel estimation values, and calculating error values of at least one filtering result obtained by filtering and the M initial channel estimation values;
step S1022: performing at least one iterative filtering, wherein in each iterative filtering, a filtering result with the minimum error value with the M initial channel estimation values in the last obtained filtering result is determined, a filter is selected to perform filtering processing according to a mode of decreasing the channel width in the bandwidth range of the filter used by the filtering result, and the error values of the filtering result obtained by the filtering processing and the M initial channel estimation values are calculated until no other filter exists in the bandwidth range of the selected filter;
step S1023: and determining a filtering result with the minimum error value between the filtering result after each iteration of filtering and the M initial channel estimation values as the plurality of filtering results.
If the number of the filters included in the filter bank is large, when the initial channel estimation value is filtered by using the filters one by one, the calculation amount is increased, the filtering time is prolonged, the filtering efficiency is reduced, and the channel estimation performance is further influenced. Because the bandwidth range width of the filter with the maximum passband width covers the bandwidth ranges of other filters, and the optimal filter with the smaller bandwidth is a subset of the optimal filter with the larger bandwidth, after the optimal filter in the filters with the larger passband width is determined, the optimal filter in the filters with the smaller passband width can be determined in the bandwidth range of the optimal filter, so that the calculation amount during filtering is reduced, the filtering time is shortened, and the channel estimation performance is improved.
The above steps are described in detail below with reference to fig. 2 and 3.
First, in step S1021, a filter with the largest pass-band width (i.e. pass-band width W is 4) is selected, and only one filter is used to perform filtering processing on the M initial channel estimation values, and an error value between the filtering result and the M initial channel estimation values is calculated.
Then, in step S1022, at least one iterative filtering is performed. Determining the bandwidth range (0,4) of the filter with the maximum pass band width in the first iteration; in the bandwidth range (0,4), two filters with the passband width W of 3 are determined, the two filters are used for carrying out filtering processing on the M initial channel estimation values, and two error values of two filtering results and the M initial channel estimation values are calculated. During the second iteration, the bandwidth range of the filter corresponding to the minimum error value of the two error values obtained in the first iteration, such as the bandwidth range (0,3), is selected, two filters with the passband width W of 2 are determined within the bandwidth range (0,3), the two filters are used for carrying out filtering processing on the M initial channel estimation values, and two filtering results and two error values of the M initial channel estimation values are calculated. And during the third iteration, selecting a bandwidth range, such as a bandwidth range (0,2), of the filter corresponding to the minimum error value in the two error values obtained in the second iteration, determining that two filters with a pass band width W of 2 exist in the bandwidth range (0,2), performing filtering processing on the M initial channel estimation values by using the two filters, and calculating two filtering results and two error values of the M initial channel estimation values.
Finally, in step S1023, a filtering result with the minimum error value between the filtering result after each iteration and the M initial channel estimation values is determined. After the first iteration filtering, the filtering result with the smallest error value is the filtering result of the filter with the bandwidth range (0,3) and the passband width of 3 (such as the filter shown as the hidden part a in fig. 2). After the second iteration of filtering, the filtering result with the smallest error value is the filtering result of the filter with the bandwidth range (0,2) and the passband width of 2 (the filter shown as the hidden part b in fig. 2). After the third iteration, the filtering result with the smallest error value is the filtering result of the filter with the bandwidth range (1,2) and the pass bandwidth of 1 (the filter shown as the invisible part c in fig. 2).
It will be understood by those skilled in the art that when there are a plurality of filters having the largest pass band width, a plurality of error values of the filtered result and the M initial channel estimation values are calculated. Then, during the first iteration of filtering, the bandwidth range of the filter corresponding to the minimum error value of the plurality of error values is selected.
Preferably, the error value is a difference between a filtering result and a median or a mean of the M initial channel estimation values.
In a specific implementation, the M initial channel estimation values may be denoted as Hp (1), Hp (2), …, Hp (M/2), …, Hp (M). The M coefficients of the filter are denoted C (1), C (2), …, hp (M), respectively. The result of filtering the M initial channel estimates using the filter i is havg (i) ═ Hp (1) gamma C (1) + Hp (2) gamma C (2) + … + Hp (M) gamma C (M). Then error value err (i) abs (havg (i) -Hp (M/2)). Alternatively, the error value may be calculated in the following manner: err (i) abs (havg (i)) - (Hp (1) + Hp (2) + … + Hp (M))/M).
Further, the channel estimation value CE (M/2) ═ argminErr { havg (i) }, that is, the channel estimation value is the channel filtering result havg (i) that minimizes the error value err (i).
Fig. 4 is a schematic structural diagram of a channel estimation device according to an embodiment of the present invention.
The channel estimation device 40 shown in fig. 4 may be used on the receiver side. The channel estimation device 40 shown in fig. 4 may include an initial estimation module 401, an initial estimation module 402 and a selection module 403.
The initial estimation module 401 is adapted to perform initial channel estimation by using the pilot frequency in the frequency domain to obtain a plurality of initial channel estimation values.
The filtering module 402 is adapted to perform filtering processing on the selected M initial channel estimation values by using a filter bank to obtain a plurality of filtering results, where the filter bank includes a plurality of filters with various pass-band widths, and M is the number of taps of the filter in the filter bank.
The selecting module 403 is adapted to select, as the channel estimation value, a filtering result with a minimum error value from the M initial channel estimation values among the plurality of filtering results.
The embodiment of the invention utilizes the filter group formed by a plurality of filters with various pass band widths to filter the initial channel estimation value, and the filters with different pass band widths have different filtering performances, so that the optimal filtering result can be selected from the plurality of filtering results to be used as the channel estimation value, thereby realizing better filtering processing of the initial channel estimation value and further improving the accuracy of channel estimation; in addition, the technical scheme of the invention is simple to implement, so that the application range is wider.
Preferably, the filtering module 402 performs filtering processing on the M initial channel estimation values by using the plurality of filters, respectively, and determines the plurality of filtering results.
Preferably, the bandwidth range width of the filter having the largest pass band width among the plurality of filters covers the bandwidth ranges of the other filters.
Further, the filtering processing module 402 may include an initial filtering unit 4021, an iterative filtering unit 4022, and a filtering result determination unit 4023.
The initial filtering unit 4021 is adapted to select at least one filter with the largest passband width to perform filtering processing on the M initial channel estimation values, and calculate error values of at least one filtering result obtained by the filtering processing and the M initial channel estimation values; the iterative filtering unit 4022 is adapted to perform at least one iterative filtering, determine a filtering result with the smallest error value between the M initial channel estimation values in the filtering result obtained last time in each iterative filtering, select a filter for filtering in a bandwidth range of the filter used by the filtering result in a manner of decreasing a channel width, and calculate error values between the filtering result obtained by filtering and the M initial channel estimation values until no other filter exists in the bandwidth range of the selected filter; the filtering result determining unit 4023 is adapted to determine, as the plurality of filtering results, a filtering result whose filtering result is filtered for each iteration and whose error value with respect to the M initial channel estimation values is the smallest.
Preferably, the plurality of filters have different bandwidth ranges and/or pass-band widths in the time domain.
Preferably, the error value is a difference between a filtering result and a median or a mean of the M initial channel estimation values.
For more details of the operation principle and the operation mode of the channel estimation device 40, reference may be made to the description of the embodiments shown in fig. 1 to fig. 3, which is not repeated here.
The embodiment of the invention also discloses a computer readable storage medium, on which computer instructions are stored, and when the computer instructions are executed, the steps of the channel estimation method shown in fig. 1 or fig. 3 can be executed. The storage medium may include ROM, RAM, magnetic or optical disks, etc.
The embodiment of the invention also discloses a terminal which can comprise a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor. The processor, when executing the computer instructions, may perform the steps of the channel estimation method shown in fig. 1 or fig. 3. The user equipment includes but is not limited to a mobile phone, a computer, a tablet computer and other terminal equipment.
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 (12)
1. A method of channel estimation, comprising:
performing initial channel estimation by using pilot frequency on a frequency domain to obtain a plurality of initial channel estimation values;
performing filtering processing on the selected M initial channel estimation values by using a filter bank to obtain a plurality of filtering results, wherein the filter bank comprises a plurality of filters with various passband widths, and M is the number of taps of the filters in the filter bank;
selecting the filtering result with the minimum error value with the M initial channel estimation values as a channel estimation value from the plurality of filtering results;
the filtering the selected M initial channel estimation values by using the filter bank comprises the following steps:
selecting at least one filter with the maximum passband width to filter the M initial channel estimation values, and calculating error values of at least one filtering result obtained by filtering and the M initial channel estimation values;
performing at least one iterative filtering, wherein in each iterative filtering, a filtering result with the minimum error value with the M initial channel estimation values in the last obtained filtering result is determined, a filter is selected to perform filtering processing according to a mode of decreasing the channel width in the bandwidth range of the filter used by the filtering result, and the error values of the filtering result obtained by the filtering processing and the M initial channel estimation values are calculated until no other filter exists in the bandwidth range of the selected filter;
and determining a filtering result with the minimum error value between the filtering result after each iteration of filtering and the M initial channel estimation values as the plurality of filtering results.
2. The channel estimation method of claim 1, wherein the filtering the selected M initial channel estimation values by using a filter bank comprises:
and respectively carrying out filtering processing on the M initial channel estimation values by using the plurality of filters, and determining a plurality of filtering results.
3. The channel estimation method according to claim 1, wherein a bandwidth range width of a filter having a largest pass band width among the plurality of filters covers bandwidth ranges of other filters.
4. The channel estimation method according to claim 1, wherein the plurality of filters have different bandwidth ranges and/or pass band widths in the time domain.
5. The channel estimation method according to any of claims 1 to 4, wherein the error value is a difference between a filtering result and a median or mean of the M initial channel estimation values.
6. A channel estimation device, comprising:
the initial estimation module is suitable for carrying out initial channel estimation by utilizing pilot frequency on a frequency domain to obtain a plurality of initial channel estimation values;
the filter processing module is suitable for performing filter processing on the M initial channel estimation values by using a filter bank to obtain a plurality of filter results, wherein the filter bank comprises a plurality of filters with various passband widths, and M is the number of taps of the filters in the filter bank;
a selecting module, adapted to select, as the channel estimation value, a filtering result with a smallest error value with the M initial channel estimation values among the plurality of filtering results;
the filtering processing module comprises:
the initial filtering unit is suitable for selecting at least one filter with the maximum passband width to carry out filtering processing on the M initial channel estimation values and calculating error values of at least one filtering result obtained by the filtering processing and the M initial channel estimation values;
the iterative filtering unit is suitable for performing iterative filtering for at least one time, wherein in each iterative filtering, a filtering result with the minimum error value with the M initial channel estimation values in the filtering result obtained last time is determined, a filter is selected to perform filtering processing according to a mode of decreasing the channel width in the bandwidth range of the filter used by the filtering result, and the error values of the filtering result obtained by the filtering processing and the M initial channel estimation values are calculated until no other filter exists in the bandwidth range of the selected filter;
a filtering result determining unit adapted to determine, as the plurality of filtering results, a filtering result that is filtered for each iteration and has a smallest error value with the M initial channel estimation values.
7. The apparatus according to claim 6, wherein said filtering module performs filtering processing on said M initial channel estimation values by using said plurality of filters, respectively, and determines said plurality of filtering results.
8. The channel estimation apparatus according to claim 6, wherein the bandwidth range width of the filter having the largest pass bandwidth among the plurality of filters covers the bandwidth ranges of the other filters.
9. The channel estimation apparatus of claim 6, wherein the plurality of filters have different bandwidth ranges and/or pass band widths in the time domain.
10. The channel estimation device according to any one of claims 6 to 9, wherein the error value is a difference between a filtering result and a median or mean of the M initial channel estimation values.
11. A computer readable storage medium having stored thereon computer instructions, which when executed perform the steps of the channel estimation method of any one of claims 1 to 5.
12. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the channel estimation method of any one of claims 1 to 5.
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