CN115834303B - Adaptive frequency domain channel estimation method, device, communication equipment and storage medium - Google Patents
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Abstract
The application relates to an adaptive frequency domain channel estimation method, an adaptive frequency domain channel estimation device, a communication device and a storage medium. The method comprises the following steps: acquiring a first reference signal, and calculating a time delay expansion value based on the first reference signal; counting the time delay expansion value to obtain a time delay expansion statistic value; and carrying out frequency domain self-adaptive estimation on the second reference signal according to the time delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship. By adopting the method, the first reference signal with more information can be utilized to acquire the time delay expansion system information similar to the channel of the second reference signal, and the frequency domain interpolation scheme is adaptively adjusted under the condition of the DMRS or UERS scheduling of the small resource block, so that better system performance can be obtained.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method and apparatus for adaptive frequency domain channel estimation, a communication device, and a storage medium.
Background
In an LTE (Long Term Evolution ) or NR (new radio, new air interface) wireless communication system, after preliminary pilot frequency position frequency domain channel estimation of DMRS (Demodulation Reference Signal ) or UERS (User Equipment Reference Signal, user equipment reference signal), when performing frequency domain interpolation channel estimation on a non-pilot frequency domain, the frequency domain channel estimation is completed by adopting an interpolation or averaging scheme based on a pilot frequency domain under the small RB (Resource Block) scheduling condition.
In the traditional technology, the frequency domain slow fading channel can be identified according to the characteristics of the DMRS, the frequency domain fast fading channel with high signal-to-noise ratio can be identified by directly using the pilot frequency average in the RB or half RB, and then a frequency domain linear interpolation scheme is used.
However, for scheduling reasons, for example, distributed RB scheduling in NR or LTE may cause discontinuous RBs in the frequency domain, frequency hopping between slots or too few RBs to be scheduled, resulting in insufficient or discontinuous number of reference signals, the terminal cannot estimate more channel information using the DMRS, cannot identify the channel type through the DMRS itself, and performs adaptive selection of the frequency domain scheme according to the channel type.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, communication device, and storage medium for adaptive frequency domain channel estimation that can be performed in the case of scheduling for small resource blocks DMRS or UERS.
In a first aspect, the present application provides a method for adaptive frequency domain channel estimation. The method comprises the following steps:
acquiring a first reference signal, and calculating a time delay expansion value based on the first reference signal;
counting the time delay expansion value to obtain a time delay expansion statistic value;
and carrying out frequency domain self-adaptive estimation on the second reference signal according to the time delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship.
In one embodiment, acquiring the first reference signal includes:
and carrying out channel estimation on the acquired first reference signal by a least square method to obtain a channel estimation result of the first reference signal.
In one embodiment, calculating the delay spread value based on the first reference signal includes:
obtaining channel impulse response according to the channel estimation result, and calculating a power delay spectrum of each time domain path according to the channel impulse response;
determining a screen path threshold, and screening the channel impulse response through the screen path threshold to obtain a first path index value of the channel impulse response passing through the screen path threshold for the first time and a second path index value of the channel impulse response passing through the screen path threshold for the last time;
obtaining a diameter difference value according to the first diameter index value and the second diameter index value;
and obtaining a time delay expansion value based on the diameter difference value.
In one embodiment, the determination of the screen diameter threshold comprises:
determining the maximum value of the power delay spectrum;
and setting a noise value, and determining a screen path threshold through the noise value and the maximum value of the power delay spectrum.
In one embodiment, obtaining the delay spread value based on the path difference value includes:
the screen diameters are respectively realized through the front window and the rear window;
obtaining a front window time delay expansion value according to a first path index value and a second path index value obtained through a front window;
obtaining a rear window time delay expansion value according to a first path index value and a second path index value obtained through the rear window;
and according to the front window delay expansion value and the rear window delay expansion value, the delay expansion value is obtained.
In one embodiment, counting the delay expansion value to obtain a delay expansion statistic value includes:
and setting a forgetting factor, and expanding the time delay to carry out filtering statistics based on the forgetting factor to obtain a time delay expansion statistic value.
In one embodiment, performing frequency domain adaptive estimation on the second reference signal according to the delay spread statistic value to obtain a channel estimation value of the second reference signal, including:
setting a signal-to-noise ratio, and if the delay expansion statistical value is larger than a delay expansion threshold and the signal-to-noise ratio is larger than the signal-to-noise ratio threshold, performing linear interpolation on the second reference signal; and otherwise, carrying out frequency domain averaging on the second reference signal.
In a second aspect, the present application further provides an adaptive frequency domain channel estimation apparatus. The device comprises:
the delay expansion calculation module is used for acquiring a first reference signal and calculating a delay expansion value based on the first reference signal;
counting the time delay expansion value to obtain a time delay expansion statistic value;
and the self-adaptive interpolation module is used for carrying out frequency domain self-adaptive estimation on the second reference signal according to the delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship.
In a third aspect, the present application also provides a communication device. The communication device comprises a memory and a processor, the memory stores a computer program, the processor executing the computer program to perform the steps of:
acquiring a first reference signal, and calculating a time delay expansion value based on the first reference signal;
counting the time delay expansion value to obtain a time delay expansion statistic value;
and carrying out frequency domain self-adaptive estimation on the second reference signal according to the time delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring a first reference signal, and calculating a time delay expansion value based on the first reference signal;
counting the time delay expansion value to obtain a time delay expansion statistic value;
and carrying out frequency domain self-adaptive estimation on the second reference signal according to the time delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a first reference signal, and calculating a time delay expansion value based on the first reference signal;
counting the time delay expansion value to obtain a time delay expansion statistic value;
and carrying out frequency domain self-adaptive estimation on the second reference signal according to the time delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship.
According to the self-adaptive frequency domain channel estimation method, the device, the communication equipment, the storage medium and the computer program product, based on the quasi co-location relation between the first reference signal and the second reference signal, the data processing is carried out on the first reference signal, the time delay expansion statistical value of the first reference signal is obtained, then the self-adaptive channel estimation is carried out on the second reference signal according to the time delay expansion statistical value, the method utilizes the first reference signal with more information to obtain the time delay expansion system information similar to the channel of the second reference signal, and the self-adaptive frequency domain interpolation scheme is regulated under the DMRS or UERS scheduling condition of a small resource block, so that better system performance can be obtained.
Drawings
FIG. 1 is a diagram of an application environment of an adaptive frequency domain channel estimation method in one embodiment;
FIG. 2 is a flow chart of a method of adaptive frequency domain channel estimation in one embodiment;
FIG. 3 is a flow chart of a method of adaptive frequency domain channel estimation in another embodiment;
FIG. 4 is a schematic diagram of simulation results in one embodiment;
FIG. 5 is a schematic diagram of simulation results in another embodiment;
FIG. 6 is a block diagram of an adaptive frequency domain channel estimation device in one embodiment;
figure 7 is a system block diagram of an LTE terminal in one embodiment;
FIG. 8 is a system block diagram of an NR terminal in one embodiment;
fig. 9 is an internal structural diagram of a communication device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The adaptive frequency domain channel estimation method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. The terminal 102 communicates with a base station 104. The terminal 102 acquires a first reference signal, and calculates a time delay expansion value based on the first reference signal; the terminal 102 counts the delay expansion value to obtain a delay expansion statistic value; the terminal 102 performs frequency domain adaptive estimation on the second reference signal according to the delay expansion statistic value to obtain a channel estimation value of the second reference signal, where the second reference signal has a quasi co-location relationship with the first reference signal.
The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The base station 104 may be a macro base station, a micro base station, a remote radio, a repeater, an indoor distribution system, or the like.
In one embodiment, as shown in fig. 2, an adaptive frequency domain channel estimation method is provided, comprising the following steps.
Step 202: and acquiring a first reference signal, and calculating a time delay expansion value based on the first reference signal.
In NR (New Radio), each channel has its own DMRS (Demodulation Reference Signal ), and also has CSI-RS (Channel State Information-Reference Signal) or TRS (TrackingReference Signal, phase Reference Signal) in downlink. Similarly, in LTE (Long Term Evolution ), CRS (Cell Reference Signal, cell reference signal) is downlink, SRS (Sounding Reference Signals, sounding reference signal) is uplink, and a part of channels have DMRS of their own.
First, a first reference signal is acquired, and a time delay expansion value of the first reference signal is calculated based on the received first reference signal. Because different antenna ports experience different channel fading, when the number of reference signals of a channel is too small, and therefore better channel estimation cannot be performed, channel large-scale parameters obtained by means of pilot frequency estimation of other antenna ports are utilized, so that channel estimation performance of other antenna ports is improved, and delay expansion information similar to a demodulation channel is obtained by utilizing more reference signals of information.
Step 204: and counting the delay expansion value to obtain a delay expansion statistic value.
Because the acquired signals pass through different paths or have time difference, the acquired delay expansion values are counted during calculation, and the delay expansion statistic values can be obtained after the statistics of the delay expansion values by using filtering statistics or other statistical modes.
Step 206: and carrying out frequency domain self-adaptive estimation on the second reference signal according to the time delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship.
Based on the second reference signal and the first reference signal having a Quasi co-location relationship, also referred to as co-QCL (Quasi-registration), the channel estimation performance of the second reference signal can be improved by obtaining the channel large scale parameter of the second reference signal based on the first reference signal due to the co-QCL of the first reference signal and the second reference signal.
In the adaptive frequency domain channel estimation method, the first reference signal is subjected to data processing to obtain the delay expansion statistical value of the first reference signal, and then the second reference signal is subjected to adaptive channel estimation according to the delay expansion statistical value.
In one embodiment, acquiring the first reference signal includes: and carrying out channel estimation on the acquired first reference signal by a least square method to obtain a channel estimation result of the first reference signal.
For the received first reference signal, the channel estimation may be performed on the first reference signal using a least square method. The channel estimation is carried out through a least square method, initial channel estimation can be carried out on the first reference, and the time delay expansion value of the first reference signal is obtained through calculation according to the obtained channel estimation result.
In one embodiment, calculating the delay spread value based on the first reference signal includes: obtaining channel impulse response according to the channel estimation result, and calculating a power delay spectrum of each time domain path according to the channel impulse response; determining a screen path threshold, and screening the channel impulse response through the screen path threshold to obtain a first path index value of the channel impulse response passing through the screen path threshold for the first time and a second path index value of the channel impulse response passing through the screen path threshold for the last time; obtaining a diameter difference value according to the first diameter index value and the second diameter index value; and obtaining a time delay expansion value based on the diameter difference value.
Illustratively, the channel estimation result of the first reference signal is converted to obtain a channel impulse response sequence of the first reference signal after being converted to the time domain, for example, the channel impulse response of the first reference signal can be converted to the time domain through Inverse Discrete Fourier Transform (IDFT) or Inverse Fast Fourier Transform (IFFT), and then a power delay profile of each time domain path is calculated according to the channel impulse response of the time domain. Wherein the power delay profile describes the multipath channel by a power delay profile.
Determining a screen path threshold, performing path screening in a channel impulse response through the screen path threshold to obtain a first path index value of the first pass screen path threshold and a second path index value of the last pass screen path threshold in the channel impulse response, performing difference on the obtained first path index value and second path index value to obtain a path difference value, and obtaining a time delay expansion value based on the difference value of the path indexes.
In one embodiment, the determination of the screen diameter threshold includes: determining the maximum value of the power delay spectrum; and setting a noise value, and determining a screen path threshold through the noise value and the maximum value of the power delay spectrum.
Illustratively, when determining the screen path threshold, the power maximum value is obtained according to the power delay spectrum of the channel impulse response, and then the screen path threshold is calculated by setting the noise value and the threshold coefficient of the simulation. The noise value can also be obtained through a power delay spectrum.
In one embodiment, obtaining the delay spread value based on the path difference value includes: the screen diameters are respectively realized through the front window and the rear window; obtaining a front window time delay expansion value according to a first path index value and a second path index value obtained through a front window; obtaining a rear window time delay expansion value according to a first path index value and a second path index value obtained through the rear window; and according to the front window delay expansion value and the rear window delay expansion value, the delay expansion value is obtained.
Illustratively, in the screening process, a first path index value of a first-pass screening path threshold and a second path index value of a last-pass screening path threshold are respectively calculated through a front window and a rear window according to the moment of channel impulse response. Taking the difference between the first path index value of the first passing screen path threshold and the second path index value of the last passing screen path threshold obtained through the front window to obtain a path difference value of the screen path of the front window, wherein the path difference value is a front window time delay expansion value; the first path index value passing through the screen path threshold of the rear window and the second path index value passing through the screen path threshold of the last time are subjected to difference to obtain a path difference value of the screen path of the rear window, wherein the path difference value is a rear window time delay expansion value; and adding the front window time delay expansion value and the rear window time delay expansion value to obtain the time delay expansion value of the channel.
In one embodiment, counting the delay spread value to obtain a delay spread statistic value includes: and setting a forgetting factor, and expanding the time delay to carry out filtering statistics based on the forgetting factor to obtain a time delay expansion statistic value.
The forgetting factor is a weighting parameter set in the filter, and the forgetting factor can be set according to different weights for the original data and the new data, and is introduced in the filtering statistics process, so that the time delay expansion value can better reflect the parameter change condition when the time delay expansion value changes along with the time.
In one embodiment, performing frequency domain adaptive estimation on the second reference signal according to the delay spread statistic value to obtain a channel estimation value of the second reference signal, including: setting a signal-to-noise ratio, and if the delay expansion statistical value is larger than a delay expansion threshold and the signal-to-noise ratio is larger than the signal-to-noise ratio threshold, performing linear interpolation on the second reference signal; and otherwise, carrying out frequency domain averaging on the second reference signal.
And performing adaptive channel estimation on the second reference signal by combining the delay spread statistic value of the first reference signal with the SNR (Signal to Noise Ratio, signal-to-noise ratio). And carrying out channel estimation on the second reference signal by a least square method, and carrying out linear interpolation on the second reference signal when the time delay expansion statistical value is larger than the time delay expansion threshold and the signal to noise ratio is larger than the signal to noise ratio threshold, otherwise, carrying out frequency domain averaging on the second reference signal, so as to realize self-adaptive control on the second reference signal. The time delay expansion threshold and the signal to noise ratio threshold can be obtained through simulation.
In one embodiment, taking an M-transmit-N-receive downlink NR or LTE system model as an example, the reference signal received in the frequency domain is expressed as:
Y=H x+ n
wherein,,Yrepresentation ofN*1Is used for the reception of the reference signal,Hrepresentation ofN*MIs used for the channel matrix of the (c),xrepresentation ofM*1Is provided with a base station for transmitting a signal,nrepresentation ofN*1Is a gaussian noise of (c). As shown in fig. 3, a frequency domain channel estimation adaptive method is disclosed, which comprises the following steps:
step 302: and acquiring a first reference signal, and performing initial channel estimation on the acquired first reference signal by a least square method.
As shown in fig. 3, the first reference signal is denoted as rs_type1, and the second reference signal is denoted as rs_type2, and the first reference signal rs_type1 is acquired. The delay expansion of the first reference signal RS_type1 and the second reference signal RS_type2 is shared by QCL, and the delay expansion of the second reference signal RS_type2 is calculated by calculating the delay expansion of the first reference signal RS_type1.
The channel estimation is performed on the acquired first reference signal rs_type1 by the least square method, which is expressed as:
wherein,,ifor the frequency domain location index where the pilot of the first reference signal is located,
representing a channel estimation result sequence of the first reference signal,Y i representing a first reference signal sequence,/a>
Representing the pilot signal sequence.
Step 304: and obtaining channel impulse response according to the channel estimation result, and calculating a power delay spectrum.
IDFT (Inverse Discrete Fourier Transform ) is performed on the LS result obtained in step 302 to obtain a channel impulse response in the time domainhAnd calculating power for each time domain path in the channel impulse response in the time domain to obtain a power-delay profile PDP (power-delay profile), expressed as:
wherein,,IDFT() The IDFT calculation is performed, and in this embodiment, the channel impulse response in the time domain is obtained by performing the IDFT calculation on the channel estimation result.
Step 306: and determining a screen path threshold, and finishing the screen path of the channel impulse response through the screen path threshold.
The screening of the channel impulse response by the screening threshold comprises the following steps.
(A) Determining noise value
The calculation formula of the noise value is expressed as:
wherein,,mean() Representing the averaging of the values,Npoints representing fourier transforms.
(B) Determining the maximum of a power delay profile
The calculation formula of the maximum value of the power delay spectrum is expressed as:
wherein,,max() Indicating that the maximum value is taken.
(C) Determining a screen path threshold according to the maximum value of the noise value and the power delay spectrum
Screen diameter threshold
The calculation formula of (2) is expressed as:
the screen diameter threshold is calculated by two steps, wherein,
all represent threshold coefficients, all of which can be determined by simulation.
(D) Screen diameter
According to the screen path threshold, a first path index value of the first pass screen path threshold and a second path index value of the last pass screen path threshold in the channel impulse response are obtained, and when the channel impulse response is screened, according to the number N of points of Fourier transformation and the moment of the channel impulse response, the first path index value of the first pass screen path threshold and the second path index value of the last pass screen path threshold of the front window and the rear window are calculated respectively, and the pseudo codes are expressed as follows:
wherein rearFlag represents a rear window flag bit, rearStart represents a rear window start value, rearEnd represents a rear window end value, frontFlag represents a front window flag bit, frontStart represents a front window start value, frontEnd represents a front window start value,spread_thand (5) representing a delay expansion statistical threshold.
Step 308: and calculating a path difference value, and obtaining a channel delay expansion value based on the path difference value.
Taking the difference between the first path index value of the first passing screen path threshold and the second path index value of the last passing screen path threshold obtained through the front window to obtain a path difference value of the screen path of the front window, wherein the path difference value is a front window time delay expansion value; the first path index value passing through the screen path threshold of the rear window and the second path index value passing through the screen path threshold of the last time are subjected to difference to obtain a path difference value of the screen path of the rear window, wherein the path difference value is a rear window time delay expansion value; adding the front window delay expansion value and the rear window delay expansion value to obtain the delay expansion value of the channel, wherein the calculation formula is expressed as follows:
wherein time_spin_front represents a Front window delay spread value, time_spin_rear represents a Rear window delay spread value, the spread_time represents the channel delay spread value of the first reference signal.
Step 310: and counting the delay expansion value to obtain a delay expansion statistic value.
Setting a forgetting factor, and expanding the time delay to carry out filtering statistics based on the forgetting factor, wherein a calculation formula of a time delay expansion statistic value is expressed as follows:
wherein,,alpharepresenting the forgetting filter factor,
。spreadand representing the delay expansion statistic value.
Step 312: and carrying out frequency domain self-adaptive estimation on the second reference signal according to the delay expansion statistic value.
And acquiring a signal-to-noise ratio, and carrying out self-adaptive interpolation control on the frequency domain of the second reference signal RS_type2 according to the delay expansion statistic value of the first reference signal RS_type1 and the signal-to-noise ratio information. The signal-to-noise ratio obtaining manner is not limited in this embodiment.
Channel estimation is also carried out on the second reference signal by a least square method, if the delay expands the statistic valuespreadGreater thanspread_th_adaptiveAnd a signal to noise ratio greater thansnr_thThe frequency domain interpolation scheme of the second reference rs_type2 uses linear interpolation. Otherwise, frequency domain averaging is used. Wherein,,snr_thfor the signal-to-noise ratio threshold,spread_th_adaptivefor the time delay expansion threshold, the signal to noise ratio threshold and the time delay expansion threshold can be determined through simulation.
The relation between the delay expansion and the channel frequency domain fading can be obtained through the definition of the coherence bandwidth,spread_timerepresenting the delay spread value. It can be known that the larger the delay spread is, the faster the channel fades, and at this time, for small RBs, such as channel estimation of a single RB, the original channel can be better recovered by using frequency domain interpolation.
In the embodiment, based on the quasi co-location relation between the first reference signal and the second reference signal, the first reference signal with more information is utilized to acquire the time delay expansion system information similar to the channel of the second reference signal, and the frequency domain interpolation scheme is adaptively adjusted under the condition of the DMRS or UERS scheduling of the small resource block, so that better system performance can be obtained.
Taking LTE as an example in TM7 scenario, BF granularity is single RB at this moment, in the case of high signal-to-noise ratio fast fading, UERS interpolation performs frequency domain interpolation of UERS according to delay expansion statistics value of CRS, and for low signal-to-noise ratio or frequency domain slow fading, frequency domain channel estimation can be performed by using pilot averaging of RB or half RB granularity at this moment, so as to obtain better noise suppression effect.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Fig. 4 is a schematic diagram of simulation results when delay expansion is small and the signal to noise ratio is low, fig. 5 is a schematic diagram of simulation results when delay expansion is large and the signal to noise ratio is high, in the schematic diagrams of fig. 4 and 5, the horizontal axis represents the signal to noise ratio, the vertical axis represents the block error rate BLER, the label ave represents the frequency domain averaging scheme, the label linear represents the frequency domain linear interpolation scheme, and the label adaptive represents the delay expansion adaptive control scheme based on the common QCL, it can be seen that the current suitable frequency domain interpolation scheme can be accurately selected by the adaptive frequency domain interpolation mode of the embodiment, and better system performance is obtained.
Based on the same inventive concept, the embodiment of the application also provides an adaptive frequency domain channel estimation device for realizing the above-mentioned adaptive frequency domain channel estimation method. The implementation of the solution provided by the apparatus is similar to the implementation described in the above method, so the specific limitation in the embodiments of the adaptive frequency domain channel estimation apparatus provided below may be referred to the limitation of the adaptive frequency domain channel estimation method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided an adaptive frequency domain channel estimation apparatus, comprising: a delay spread calculation module 602 and an adaptive interpolation module 604, wherein:
the delay expansion calculation module 602 is configured to obtain a first reference signal, and calculate a delay expansion value based on the first reference signal; counting the time delay expansion value to obtain a time delay expansion statistic value;
the adaptive interpolation module 604 is configured to perform frequency domain adaptive estimation on the second reference signal according to the delay spread statistic value, so as to obtain a channel estimation value of the second reference signal, where the second reference signal has a quasi co-sited relationship with the first reference signal.
In one embodiment, the delay expansion calculation module 602 is further configured to perform channel estimation on the obtained first reference signal by using a least square method, so as to obtain a channel estimation result of the first reference signal.
In one embodiment, the delay expansion calculation module 602 is further configured to obtain a channel impulse response according to the channel estimation result, and calculate a power delay spectrum of each time domain path according to the channel impulse response; determining a screen path threshold, and screening the channel impulse response through the screen path threshold to obtain a first path index value of the channel impulse response passing through the screen path threshold for the first time and a second path index value of the channel impulse response passing through the screen path threshold for the last time; obtaining a diameter difference value according to the first diameter index value and the second diameter index value; and obtaining a time delay expansion value based on the diameter difference value.
In one embodiment, the delay spread calculation module 602 is further configured to determine a maximum value of the power delay profile; and setting a noise value, and determining a screen path threshold through the noise value and the maximum value of the power delay spectrum.
In one embodiment, the delay expansion calculation module 602 is further configured to implement a sieve diameter through a front window and a rear window, respectively; obtaining a front window time delay expansion value according to a first path index value and a second path index value obtained through a front window; obtaining a rear window time delay expansion value according to a first path index value and a second path index value obtained through the rear window; and according to the front window delay expansion value and the rear window delay expansion value, the delay expansion value is obtained.
In one embodiment, the delay expansion calculation module 602 is further configured to set a forgetting factor, and filter statistics is performed on the delay expansion based on the forgetting factor, so as to obtain a delay expansion statistic value.
In one embodiment, the adaptive interpolation module 604 is further configured to set a signal to noise ratio, and if the delay expansion statistic is greater than the delay expansion threshold and the signal to noise ratio is greater than the signal to noise ratio threshold, perform linear interpolation on the second reference signal; and otherwise, carrying out frequency domain averaging on the second reference signal.
The respective modules in the adaptive frequency domain channel estimation apparatus described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the communication device, or may be stored in software in a memory in the communication device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, as shown in fig. 7, in the LTE terminal, after the terminal receives a signal of a base station, performs ADC conversion and FFT demodulation on the signal, based on the adaptive frequency domain channel estimation method of this embodiment, a delay expansion statistic value of the CRS signal is obtained by processing the CRS signal, so as to implement adaptive frequency domain channel estimation on the UERS signal, and then MIMO equalization and bit processing are performed on the channel estimation value.
In one embodiment, as shown in fig. 8, an NR terminal receives a signal of a base station, performs ADC conversion and FFT demodulation on the signal, and then, based on the adaptive frequency domain channel estimation method of this embodiment, processes a TRS signal to obtain a delay spread statistic value of a CRS signal, so as to implement adaptive frequency domain channel estimation on the DMRS signal, and then performs MIMO equalization and bit processing on the channel estimate value.
In one embodiment, a communication device is provided, which may be a communication terminal, and an internal structure diagram thereof may be as shown in fig. 9. The communication device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the communication device is configured to provide computing and control capabilities. The memory of the communication device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the communication device is used to exchange information between the processor and the external device. The communication interface of the communication device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement an adaptive frequency domain channel estimation method. The display unit of the communication device is used for forming a visually visible picture and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the communication equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the communication equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 9 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the communication device to which the present application is applied, and that a particular communication device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a communication device is provided, including a memory having a computer program stored therein and a processor, which when executing the computer program performs the steps of the method embodiments described above.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the signal transmission data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (FerroelectricRandom Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method of adaptive frequency domain channel estimation, the method comprising:
acquiring a first reference signal, and calculating a time delay expansion value based on the first reference signal;
counting the time delay expansion value to obtain a time delay expansion statistic value;
performing frequency domain self-adaptive estimation on a second reference signal according to the time delay expansion statistical value to obtain a channel estimation value of the second reference signal, wherein the second reference signal and the first reference signal have a quasi co-location relationship;
the acquiring the first reference signal includes:
performing channel estimation on the acquired first reference signal by a least square method to obtain a channel estimation result of the first reference signal;
the calculating a delay expansion value based on the first reference signal includes:
obtaining channel impulse response according to the channel estimation result, and calculating a power delay spectrum of each time domain path according to the channel impulse response;
determining a screen path threshold, and screening the channel impulse response through the screen path threshold to obtain a first path index value passing through the screen path threshold for the first time and a second path index value passing through the screen path threshold for the last time in the channel impulse response;
obtaining a diameter difference value according to the first diameter index value and the second diameter index value;
obtaining the time delay expansion value based on the diameter difference value;
the obtaining the delay expansion value based on the diameter difference value comprises the following steps:
the screen diameters are respectively realized through the front window and the rear window;
obtaining a front window time delay expansion value according to the first path index value and the second path index value obtained through a front window;
obtaining a rear window time delay expansion value according to the first path index value and the second path index value obtained through the rear window;
and obtaining the time delay expansion value according to the front window time delay expansion value and the rear window time delay expansion value.
2. The method of claim 1, wherein the determination of the screen diameter threshold comprises:
determining a maximum value of the power delay profile;
and setting a noise value, and determining the screen path threshold through the noise value and the maximum value of the power delay spectrum.
3. The method of claim 1, wherein the counting the delay spread value to obtain a delay spread statistic value comprises:
and setting a forgetting factor, and carrying out filtering statistics on the time delay expansion value based on the forgetting factor to obtain the time delay expansion statistical value.
4. The method of claim 1, wherein the performing frequency domain adaptive estimation on the second reference signal according to the delay spread statistic to obtain a channel estimation value of the second reference signal includes:
setting a signal-to-noise ratio, and if the delay expansion statistical value is larger than a delay expansion threshold and the signal-to-noise ratio is larger than the signal-to-noise ratio threshold, performing linear interpolation on the second reference signal; and otherwise, carrying out frequency domain averaging on the second reference signal.
5. An adaptive frequency domain channel estimation apparatus, the apparatus comprising:
the delay expansion calculation module is used for acquiring a first reference signal and calculating a delay expansion value based on the first reference signal;
counting the time delay expansion value to obtain a time delay expansion statistic value;
the self-adaptive interpolation module is used for carrying out frequency domain self-adaptive estimation on a second reference signal according to the delay expansion statistical value to obtain a channel estimation value of the second reference signal, and the second reference signal and the first reference signal have a quasi co-location relationship;
the delay expansion calculation module is further used for carrying out channel estimation on the acquired first reference signal through a least square method to obtain a channel estimation result of the first reference signal;
the time delay expansion calculation module is also used for obtaining channel impulse response according to the channel estimation result and calculating the power time delay spectrum of each time domain path according to the channel impulse response; determining a screen path threshold, and screening the channel impulse response through the screen path threshold to obtain a first path index value of the channel impulse response passing through the screen path threshold for the first time and a second path index value of the channel impulse response passing through the screen path threshold for the last time; obtaining a diameter difference value according to the first diameter index value and the second diameter index value; obtaining a time delay expansion value based on the diameter difference value;
the time delay expansion calculation module is also used for realizing the screen diameter through the front window and the rear window respectively; obtaining a front window time delay expansion value according to a first path index value and a second path index value obtained through a front window; obtaining a rear window time delay expansion value according to a first path index value and a second path index value obtained through the rear window; and according to the front window delay expansion value and the rear window delay expansion value, the delay expansion value is obtained.
6. The apparatus of claim 5, wherein the delay spread calculation module is further configured to determine a maximum value of a power delay profile; and setting a noise value, and determining a screen path threshold through the noise value and the maximum value of the power delay spectrum.
7. The apparatus of claim 5, wherein the delay expansion calculation module is further configured to set a forgetting factor, and filter statistics is performed on delay expansion based on the forgetting factor to obtain a delay expansion statistic value.
8. The apparatus of claim 5, wherein the adaptive interpolation module is further configured to set a signal-to-noise ratio, and perform linear interpolation on the second reference signal if the delay spread statistic is greater than a delay spread threshold and the signal-to-noise ratio is greater than a signal-to-noise ratio threshold; and otherwise, carrying out frequency domain averaging on the second reference signal.
9. A communication device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.
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