WO2024051461A1 - 数字接收机基带信号降采样方法、装置、终端及存储介质 - Google Patents

数字接收机基带信号降采样方法、装置、终端及存储介质 Download PDF

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WO2024051461A1
WO2024051461A1 PCT/CN2023/113357 CN2023113357W WO2024051461A1 WO 2024051461 A1 WO2024051461 A1 WO 2024051461A1 CN 2023113357 W CN2023113357 W CN 2023113357W WO 2024051461 A1 WO2024051461 A1 WO 2024051461A1
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scenario
sampling
downsampling
main path
baseband signal
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PCT/CN2023/113357
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English (en)
French (fr)
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李强
李伟超
陶小峰
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鹏城实验室
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06—Receivers
    • H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
    • H04B1/1027—Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0224—Channel estimation using sounding signals
    • H04L25/0228—Channel estimation using sounding signals with direct estimation from sounding signals

Definitions

  • the present application relates to the field of wireless communication technology, and in particular to a digital receiver baseband signal downsampling method, device, terminal and storage medium.
  • the receiver After receiving the wireless signal, the receiver first converts the radio frequency signal into a baseband signal, and then obtains the original digital signal through analog-to-digital conversion. Usually the sampling rate of the original digital signal is relatively high, and the original digital signal needs to be down-sampled. After the target digital signal is obtained, subsequent processing such as channel estimation, equalization, and decoding is performed.
  • the received signal will be distorted, and the selection of the downsampling position will affect subsequent channel estimation.
  • the performance of other modules will have a significant impact on the overall performance of the receiver.
  • the original digital signal must first be down-sampled after baseband filtering.
  • the down-sampling method is down-sampled according to the position of the maximum value.
  • the down-sampling algorithm is not designed from the perspective of comprehensively considering the overall performance of the receiver. It only pursues local optimality and does not take into account the impact of down-sampling position selection on receiver performance. , resulting in loss of receiver performance.
  • this application provides a digital receiver baseband signal down-sampling method, device, terminal and storage medium to solve the problem of traditional down-sampling method due to down-sampling position selection deviation.
  • Technical problems that reduce receiver performance are that, in view of the defects of the existing technology, this application provides a digital receiver baseband signal down-sampling method, device, terminal and storage medium to solve the problem of traditional down-sampling method due to down-sampling position selection deviation.
  • this application provides a digital receiver baseband signal downsampling method, including:
  • the local PN sequence signal is correlated with the received sampled pilot PN sequence signal, and down-sampling is performed at different locations according to the correlation results to obtain channel response profiles in various scenarios, including :
  • the preset threshold is a preset normalized threshold.
  • comparing the obtained channel response profile with a preset threshold value, determining the corresponding main path in each scenario, and calculating the total energy of the main path in each scenario includes:
  • it also includes:
  • the corresponding channel type is determined according to the recorded position, the corresponding sampling strategy is selected according to the determined channel type, and the down-sampled data is output.
  • the channel types include: long echo channels and Doppler channels.
  • determining the corresponding channel type based on the recorded location, selecting a corresponding sampling strategy based on the determined channel type, and outputting down-sampled data includes:
  • determining whether the corresponding channel type is the long echo channel based on the recorded location further includes:
  • determining whether the corresponding channel type is the Doppler channel based on the recorded location further includes:
  • the total energy of the main paths in each scenario is sorted, and the SINR corresponding to the smallest main path in the top two scenarios is obtained;
  • determining the corresponding channel type according to the recorded location, selecting the corresponding sampling strategy according to the determined channel type, and outputting the down-sampled data also includes:
  • this application provides a digital receiver baseband signal downsampling device, including:
  • the first down-sampling module is used to perform correlation operations on the local PN sequence signal and the received sampled pilot PN sequence signal, and perform down-sampling at different locations based on the correlation results to obtain channel response profiles in various scenarios;
  • the total energy calculation module is used to compare the obtained channel response profile with the preset threshold value, determine the corresponding main path in each scenario, and calculate the total energy of the main path in each scenario;
  • the total energy sorting module is used to sort the total energy of the main path under each scenario and obtain the top two first and second scenarios;
  • SINR calculation module used to calculate the SINR corresponding to the minimum main path in the first scenario, and calculate the SINR corresponding to the minimum main path in the second scenario;
  • the second down-sampling module is used to compare the two calculated SINRs, select the sampling position corresponding to the scenario with the higher SINR for sampling, and output the sampling data.
  • the present application provides a terminal, including: a processor and a memory.
  • the memory stores a digital receiver baseband signal downsampling program.
  • the digital receiver baseband signal downsampling program is executed by the processor. When used to implement the operation of the digital receiver baseband signal downsampling method described in the first aspect.
  • the present application also provides a storage medium.
  • the storage medium is a computer-readable storage medium.
  • the storage medium stores a digital receiver baseband signal downsampling program.
  • the digital receiver baseband signal downsampling program When executed by the processor, the program is used to implement the operations of the digital receiver baseband signal downsampling method described in the first aspect.
  • This application performs correlation operations on the local PN sequence signal and the received sampled pilot PN sequence signal, and performs downsampling at different locations based on the correlation results, to obtain channel response profiles in various scenarios; thereby converting the obtained channel
  • the response contour is compared with the preset threshold value to determine the corresponding main path in each scenario, and the total energy of the main path in each scenario is calculated; the total energy of the main path in each scenario can be sorted to obtain the top two The first scenario and the second scenario;
  • this application calculates the SINR corresponding to the minimum main path in the first scenario, and calculates the SINR corresponding to the minimum main path in the second scenario; compares the two calculated SINRs, Select the sampling position corresponding to the scenario with higher SINR for sampling, and output the sampling data; this application maximizes the total energy of the main path after downsampling and maximizes the SINR of the weakest main path after downsampling, improving the overall performance of the receiver.
  • Figure 1 is a flow chart of a digital receiver baseband signal downsampling method in one implementation of the present application
  • Figure 2 is a schematic diagram of the normalized channel response contour under 4 times sampling in an implementation manner of the present application
  • Figure 3 is a schematic diagram of the channel response contour downsampling results at different locations in an implementation of the present application
  • Figure 4 is a schematic diagram of the main path, noise and interference in an implementation of the present application.
  • Figure 5 is a flow chart of the downsampling algorithm in one implementation of this application.
  • Figure 6 is a synchronization diagram of a DTMB digital television receiver in an implementation manner of the present application
  • Figure 7 is a functional schematic diagram of a terminal in an implementation manner of the present application.
  • the original digital signal must first be down-sampled after baseband filtering.
  • the down-sampling method is down-sampled according to the position of the maximum value.
  • the down-sampling algorithm is not designed from the perspective of comprehensive consideration of the overall performance of the receiver. It only pursues local optimality and does not take into account the impact of down-sampling position selection on receiver performance. Causes loss of receiver performance.
  • this application provides a digital receiver baseband signal downsampling method that maximizes the total energy of the main path after downsampling, and maximizes the SINR of the weakest main path after downsampling, by downsampling different positions.
  • Analysis of the generated channel response contour determines the optimal downsampling position, thereby obtaining more accurate channel estimation parameters, providing the best channel response for the subsequent channel estimation module of the receiver, and achieving the purpose of improving receiver performance.
  • this embodiment of the present application provides a digital receiver baseband signal downsampling method, which includes the following steps:
  • Step S100 Correlate the local PN sequence signal with the received sampled pilot PN sequence signal, and perform downsampling at different locations based on the correlation results to obtain channel response profiles in various scenarios.
  • the digital receiver baseband signal downsampling method is applied to a terminal, which includes but is not limited to: computers and other equipment, specifically terminal equipment with a DTMB digital television receiver synchronization module.
  • the receiver reduces the oversampled signal to a normal signal at 1 times the rate, as follows: 4 possible downsampling positions. Downsampling at these 4 positions corresponds to 4 different channel responses.
  • step S100 includes the following steps:
  • Step S101a perform a correlation operation on the local PN sequence signal and the received N times sampled pilot PN sequence signal in sequence to obtain the correlation result;
  • Step S102a Perform downsampling at N different locations according to the correlation results to obtain channel response contours under N scenarios.
  • the receiver end after receiving the signal at the receiver end, performs analog-to-digital conversion on the received signal to obtain 4 times the sampled data, that is, 4 times the pilot signal is obtained; then, the received 4 times
  • the correlation operation between the pilot signal and the local pilot signal can obtain the channel response profile under 4 times sampling; among them, the obtained channel response profile is the result after normalization processing.
  • the normalized result is shown in Figure 2 Show.
  • the correlation operation it is necessary to obtain the local PN sequence signal, multiply and accumulate the local PN sequence signal and the received 4 times sampled pilot PN sequence signal in sequence, and then, The obtained correlation results are normalized, and the normalized correlation results are down-sampled to twice the sampling rate to obtain the channel response contours under four scenarios.
  • four different down-sampling results can be obtained according to different sampling positions. As shown in Figure 3, when determining the specific corresponding sampling position, one point can be taken from every four points, for a total of 4 possible positions. Among them, the best system performance can be obtained by performing channel estimation based on the downsampling results obtained at the fourth downsampling position.
  • the digital receiver baseband signal downsampling method further includes the following steps:
  • Step S200 Compare the obtained channel response profile with the preset threshold value, determine the corresponding main path in each scenario, and calculate the total energy of the main path in each scenario.
  • the correlation result is reduced at four different positions.
  • Sampling that is, determining the sampling location and data based on the relevant results
  • step S200 includes the following steps:
  • Step S201 Compare the channel response contour in each scenario with the preset threshold
  • Step S202 Select a position exceeding the preset threshold as the main path in the corresponding scenario
  • Step S203 Calculate the total energy of the selected main paths in each scenario.
  • the determination can be performed sequentially. First, a channel response profile in a scenario is selected, and the normalized response values of each position in the channel response profile are compared with the preset values. Compare with a certain threshold T to determine the main path in this scenario; where the determined main path is the position that exceeds the threshold after downsampling (the main path shown in Figure 4).
  • the threshold T can be set to 1/2 or 2/3 of the strongest path. It can be understood that the preset threshold value is a preset normalized value, such as 1/2 or 2 /3.
  • the sum of the energies of all the main paths in that scenario can be calculated to obtain the total energy of the main paths in that scenario; accordingly, for the remaining scenarios, we can Using the same method, first determine the main path in this scenario, and then obtain the total energy of the main path in this scenario.
  • the digital receiver baseband signal downsampling method further includes the following steps:
  • Step S300 Sort the total energy of the main path in each scenario to obtain the top two first and second scenarios;
  • Step S400 Calculate the SINR corresponding to the smallest main path in the first scenario, and calculate the SINR corresponding to the smallest main path in the second scenario;
  • Step S500 Compare the two calculated SINRs, select the sampling position of the scenario corresponding to the higher SINR for sampling, and output the sampling data.
  • the total energy of the main paths in each scenario is sorted, and two down-sampling scenarios with the top two total energies ranked are selected; and then , the SINR is calculated for the main path with the smallest energy in the two selected scenarios. As shown in Figure 4, the main path with the smallest energy in this scenario is the middle main path.
  • the worst SINRs of the two scenarios are compared, the sampling position corresponding to the scenario with high SINR is selected for downsampling, and 1x downsampling data is output.
  • the digital receiver baseband signal downsampling method further includes the following steps:
  • Step S10 perform a correlation operation on the local PN sequence signal and the received N times sampled pilot PN sequence signal in sequence to obtain the correlation result;
  • Step S20 find the maximum value M in the correlation results
  • Step S30 select all values greater than 3/4M, and record the positions corresponding to the selected values
  • Step S40 Determine the corresponding channel type according to the recorded position, select the corresponding sampling strategy according to the determined channel type, and output the down-sampled data.
  • the channel types that appear include: long echo channels, Doppler channels, and other channels; among these different channels, according to the different channel types, the channel types can be switched Different sampling strategies are used to maximize the total energy of the main path after downsampling, and to maximize the SINR of the weakest main path after downsampling. Through such downsampling methods, the best channel is provided for the subsequent channel estimation module of the receiver. response to improve the overall performance of the receiver.
  • the local PN sequence signal is correlated with the received 4 times sampled pilot PN sequence signal to find out all values >3/4 ⁇ M, and determine whether the corresponding channel type is long based on the recorded position. Echo channel; if the channel type is a long echo channel, the farthest path position among the recorded positions is determined, downsampling is performed based on the farthest path position, and corresponding downsampling data is output.
  • the last main path in the situation can be searched first, and then it can be determined whether the distance between the last main path and the previous main path exceeds a certain threshold (for example, The distance threshold is 200 position points); if this threshold is met, the channel type is determined to be a long echo channel; then, the position of the farthest path among the recorded positions is determined, and the down-sampled data is output based on the position of the farthest path.
  • a certain threshold for example, The distance threshold is 200 position points
  • if it is a non-long echo channel determine whether the corresponding channel type is a Doppler channel based on the recorded location; if it is a Doppler channel, determine the location of the strongest path among the recorded locations, Perform downsampling based on the position of the strongest path, and output the corresponding downsampling data.
  • the total energy of the main paths in each scenario is sorted to obtain the minimum main path corresponding to the top two scenarios.
  • SINR Compare the two calculated SINRs, select the sampling position corresponding to the scenario with the higher SINR for sampling, and output the sampling data, that is, use the above steps S100 to S500 to perform downsampling, and output the corresponding downsampling data.
  • the down-sampling algorithm provided by this application can be applied not only to DTMB receivers, but also to the receiver structures of other wireless communication systems.
  • the specific implementation steps of the DTMB receiver synchronization module are:
  • Step 101 Correlate the local PN sequence signal with the received 4 times sampled pilot PN sequence signal
  • Step 102 Find the maximum value M of the relevant results
  • Step 103 Find all values >3/4 ⁇ M
  • Step 104 Record the location of these values
  • Step 105 Determine whether it is a long echo channel. If so, jump to 106; if not, jump to 107;
  • Step 106 Downsample according to the position of the farthest path, jump to 110;
  • Step 107 Determine whether it is a Doppler channel, if so, jump to 108, if not, jump to 109;
  • Step 108 Downsample according to the position of the strongest path, jump to 110;
  • Step 109 Perform downsampling according to the new algorithm proposed in this embodiment.
  • Step 110 CLEAN algorithm removes interference
  • Step 111 Determine the location of the first multipath
  • Step 112 Output the downsampling and synchronization signals.
  • Step 11 Downsample 4 different positions to obtain 4 scenarios
  • Step 12 Determine the main path under different scenarios
  • Step 13 Calculate the total main path energy of each scenario
  • Step 14 Sort and select the two scenarios with the highest total energy
  • Step 15 Calculate SINR for the main path with the smallest energy in each scenario
  • Step 16 Compare the worst SINR of the two scenarios
  • Step 17 Select sampling points corresponding to high SINR scenarios for down sampling
  • 1x down-sampled data can be output.
  • This application uses the down-sampling method of the proposed new algorithm to provide the best channel response for the subsequent channel estimation module of the receiver. , in order to achieve the purpose of improving the overall performance of the receiver.
  • This application performs correlation operations on the local PN sequence signal and the received sampled pilot PN sequence signal, and performs downsampling at different locations based on the correlation results, to obtain channel response profiles in various scenarios; thereby converting the obtained channel
  • the response contour is compared with the preset threshold value to determine the corresponding main path in each scenario, and the total energy of the main path in each scenario is calculated; the total energy of the main path in each scenario can be sorted to obtain the top two The first scenario and the second scenario;
  • this application calculates the SINR corresponding to the minimum main path in the first scenario, and calculates the SINR corresponding to the minimum main path in the second scenario; compares the two calculated SINRs, Select the sampling position corresponding to the scenario with higher SINR for sampling, and output the sampling data; this application maximizes the total energy of the main path after downsampling and maximizes the SINR of the weakest main path after downsampling, improving the overall performance of the receiver.
  • this application also provides a digital receiver baseband signal downsampling device, including:
  • the first down-sampling module is used to perform correlation operations on the local PN sequence signal and the received sampled pilot PN sequence signal, and perform down-sampling at different locations based on the correlation results to obtain channel response profiles in various scenarios;
  • the total energy calculation module is used to compare the obtained channel response profile with the preset threshold value, determine the corresponding main path in each scenario, and calculate the total energy of the main path in each scenario;
  • the total energy sorting module is used to sort the total energy of the main path under each scenario and obtain the top two first and second scenarios;
  • SINR calculation module used to calculate the SINR corresponding to the minimum main path in the first scenario, and calculate the SINR corresponding to the minimum main path in the second scenario;
  • the second down-sampling module is used to compare the two calculated SINRs, select the sampling position corresponding to the scenario with the higher SINR for sampling, and output the sampling data.
  • this application also provides a terminal, the functional block diagram of which can be shown in Figure 7 .
  • the terminal includes: a processor, memory, interface, display screen and communication module connected through a system bus; wherein, the processor of the terminal is used to provide computing and control capabilities; the memory of the terminal includes a storage medium and an internal memory; the storage medium The operating system and computer programs are stored; the internal memory provides an environment for the operation of the operating system and computer programs in the storage medium; the interface is used to connect external devices, such as mobile terminals and computers; the display screen is used to display corresponding information; the communication module is used to communicate with the cloud server or mobile terminal.
  • the computer program when executed by a processor, is used to implement operations of a digital receiver baseband signal downsampling method.
  • a terminal which includes: a processor and a memory.
  • the memory stores a digital receiver baseband signal downsampling program.
  • the digital receiver baseband signal downsampling program is used to implement the above when executed by the processor. Operation of baseband signal downsampling methods in digital receivers.
  • a storage medium stores a digital receiver baseband signal downsampling program.
  • the digital receiver baseband signal downsampling program is executed by a processor, it is used to implement the above digital receiver baseband Operation of signal downsampling methods.
  • the computer program can be stored in a non-volatile storage medium.
  • the computer program can be stored in a non-volatile storage medium.
  • the process may include the processes of the above method embodiments. Any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and/or volatile memory.
  • this application provides a digital receiver baseband signal downsampling method, device, terminal and storage medium.
  • the method includes: performing a correlation operation on the local PN sequence signal and the received sampled pilot PN sequence signal, and performing a correlation operation based on the correlation
  • the results are downsampled at different locations; the obtained channel response contours are compared with the preset thresholds to determine the corresponding main paths in each scenario, and calculate the total energy of the main paths in each scenario; Sort the total energy of the main path to get the top two first and second scenarios; calculate the SINR corresponding to the smallest main path in the first scenario, and calculate the SINR corresponding to the smallest main path in the second scenario; Compare the two calculated SINRs, select the sampling location corresponding to the scenario with the higher SINR for sampling, and output the sampling data.
  • This application maximizes the total energy of the main path after downsampling and maximizes the SINR of the weakest main path after downsampling, thereby improving the overall performance of the receiver.

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Abstract

本申请公开了一种数字接收机基带信号降采样方法、装置、终端及存储介质，包括：将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据结果在不同位置下进行降采样；分别将得到的信道响应轮廓与预设门限阈值进行比较，确定主径，并计算各情景下的主径的总能量；对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；计算第一情景中最小主径所对应的SINR，以及计算第二情景中最小主径所对应的SINR；将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。

Description

数字接收机基带信号降采样方法、装置、终端及存储介质
本申请要求于2022年9月8日申请的、申请号为202211096468.6的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及无线通信技术领域，尤其涉及的是数字接收机基带信号降采样方法、装置、终端及存储介质。
 背景技术
在无线通信领域中，接收机在接收到无线信号后，首先将射频信号转化为基带信号，然后经过模数转换获得原始数字信号。通常原始数字信号采样率比较高，需要对原始数字信号进行降采样处理，得到目标数字信号后，再进行信道估计、均衡、解码等后续处理。
然而，由于接收机与发射机存在晶振频偏、信号传输过程中存在多径干扰以及接收机基带滤波器的影响等原因，接收到的信号会存在失真，降采样位置的选取会影响后续信道估计等模块的性能，进而对接收机整体性能造成显著的影响。
为了降低接收机的复杂度，基带滤波后首先要对原始数字信号进行降采样处理。但是传统的降采样方法中，按照最大值的位置降采样，没有从综合考虑接收机整体性能的角度设计降采样算法，只是追求局部最优，没有考虑到降采样位置选取对接收机性能的影响，导致接收机性能的损失。
因此，相关技术还有待改进。
 技术问题
本申请要解决的技术问题在于，针对现有技术缺陷，本申请提供一种数字接收机基带信号降采样方法、装置、终端及存储介质，以解决传统的降采样方法因降采样位置选取偏差而导致接收机性能降低的技术问题。
 技术解决方案
本申请解决技术问题所采用的技术方案如下：
在一实施例中，本申请提供一种数字接收机基带信号降采样方法，包括：
将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓；
分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；
对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；
计算所述第一情景中最小主径所对应的SINR，以及计算所述第二情景中最小主径所对应的SINR；
将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
在一实施例中，所述将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓，包括：
将所述本地PN序列信号与接收到的N倍采样导频PN序列信号依次进行相关运算，得到所述相关结果；
根据所述相关结果在N个不同的位置进行降采样，获得N种情景下的信道响应轮廓。
在一实施例中，所述预设门限阈值为预先设定的归一化阈值。
在一实施例中，所述分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量，包括：
分别将各情景下的信道响应轮廓与预设门限阈值进行比较；
选择超过所述预设门限阈值的位置作为对应情景下的主径；
分别计算各个情景下所选出的主径的总能量。
在一实施例中，还包括：
将所述本地PN序列信号与接收到的N倍采样导频PN序列信号依次进行相关运算，得到所述相关结果；
寻找所述相关结果中的最大值M；
选择所有大于3/4M的值，并记录所选值对应的位置；
根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略，输出降采样数据。
在一实施例中，所述信道类型包括：长回声信道、多普勒信道。
在一实施例中，所述根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略，输出降采样数据，包括：
根据记录的位置判断对应的信道类型是否为所述长回声信道；
若为所述长回声信道，则确定所记录的位置中最远径的位置，根据所述最远径的位置进行降采样，并输出对应的降采样数据。
在一实施例中，所述根据记录的位置判断对应的信道类型是否为所述长回声信道，之后还包括：
若为非长回声信道，则根据记录的位置判断对应的信道类型是否为所述多普勒信道；
若为所述多普勒信道，则确定所记录的位置中最强径的位置，根据所述最强径的位置进行降采样，并输出对应的降采样数据。
在一实施例中，所述根据记录的位置判断对应的信道类型是否为所述多普勒信道，之后还包括：
若为非多普勒信道，则对各情景下的主径的总能量进行排序，得到排在前两位的情景中最小主径所对应的SINR；
将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
在一实施例中，所述根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略，输出降采样数据，还包括：
根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略进行降采样；
根据预设算法去除干扰，并确定第一条的多径的位置；
输出降采样以及同步信号。
在一实施例中，本申请提供一种数字接收机基带信号降采样装置，包括：
第一降采样模块，用于将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓；
总能量计算模块，用于分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；
总能量排序模块，用于对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；
SINR计算模块，用于计算所述第一情景中最小主径所对应的SINR，以及计算所述第二情景中最小主径所对应的SINR；
第二降采样模块，用于将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
在一实施例中，本申请提供一种终端，包括：处理器以及存储器，所述存储器存储有数字接收机基带信号降采样程序，所述数字接收机基带信号降采样程序被所述处理器执行时用于实现如第一方面所述的数字接收机基带信号降采样方法的操作。
在一实施例中，本申请还提供一种存储介质，所述存储介质为计算机可读存储介质，所述存储介质存储有数字接收机基带信号降采样程序，所述数字接收机基带信号降采样程序被处理器执行时用于实现如第一方面所述的数字接收机基带信号降采样方法的操作。
 有益效果
本申请采用上述技术方案具有以下效果：
本申请通过将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，可以得到多种情景下的信道响应轮廓；从而将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；可以对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；本申请通过计算第一情景中最小主径所对应的SINR，以及计算第二情景中最小主径所对应的SINR；将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据；本申请最大化降采样后主径的总能量以及最大化降采样后最弱主径的SINR，提高了接收机总体性能。
 附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图示出的结构获得其他的附图。
图1是本申请的一种实现方式中数字接收机基带信号降采样方法的流程图；
图2是本申请的一种实现方式中4倍采样下的归一化信道响应轮廓的示意图；
图3是本申请的一种实现方式中不同位置下的信道响应轮廓降采样结果的示意图；
图4是本申请的一种实现方式中主径与噪声和干扰的示意图；
图5是本申请的一种实现方式中降采样算法流程图；
图6是本申请的一种实现方式中DTMB数字电视接收机同步示意图；
图7是本申请的一种实现方式中终端的功能原理图。
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
 本发明的实施方式
为使本申请的目的、技术方案及优点更加清楚、明确，以下参照附图并举实施例对本申请进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
为了降低接收机的复杂度，基带滤波后首先要对原始数字信号进行降采样处理。传统的降采样方法中，按照最大值的位置降采样，没有从综合考虑接收机整体性能的角度设计降采样算法，只是追求局部最优，没有考虑到降采样位置选取对接收机性能的影响，导致接收机性能的损失。
针对上述技术问题，本申请提供了一种数字接收机基带信号降采样方法，最大化降采样后主径的总能量，以及最大化降采样后最弱主径的SINR，通过对不同位置下降采样产生的信道响应轮廓的分析，确定最佳降采样位置，从而得到更精确的信道估计参数，为接收机后续的信道估计模块提供最佳信道响应，达到提高接收机性能的目的。
如图1所示，本申请实施例提供一种数字接收机基带信号降采样方法，包括以下步骤：
步骤S100，将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓。
在一实施例中，该数字接收机基带信号降采样方法应用于终端上，该终端包括但不限于：计算机等设备，具体为具有DTMB数字电视接收机同步模块的终端设备。
在一实施例中，以接收机端模数转换后4倍采样数据为例(但不限于模数转换后4倍采样数据)，接收机将过采样信号降低到1倍速率的正常信号，有4个可能的降采样位置。在这4个位置降采样，对应4个不同的信道响应。
本申请的降采样准则可以概况为如下两点：
1、最大化降采样后主径的总能量；
2、最大化降采样后最弱主径的SINR(Signal to Interference plus Noise Ratio,信干噪比)。
具体地，在一实施例中，步骤S100包括以下步骤：
步骤S101a，将所述本地PN序列信号与接收到的N倍采样导频PN序列信号依次进行相关运算，得到所述相关结果；
步骤S102a，根据所述相关结果在N个不同的位置进行降采样，获得N种情景下的信道响应轮廓。
在一实施例中，在接收机端接收信号后，该接收机端将接收到的信号进行模数转换，得到4倍采样数据，即得到4倍导频信号；之后，将接收到的4倍导频信号与本地导频信号相关运算，可以得到4倍采样下的信道响应轮廓；其中，所得到的信道响应轮廓为经过归一化处理后的结果，该归一化的结果如图2所示。
具体地，在一实施例中，在进行相关运算的过程中，需要获取本地PN序列信号，将本地PN序列信号与接收到的4倍采样导频PN序列信号依次进行相乘并累积，然后，对得到的相关结果进行归一化处理，以及对这个归一化的相关结果进行降采样到一倍采样速率，获得4种情景下的信道响应轮廓。
在一实施例中，根据采样位置的不同，可以获得4种不同的降采样结果，如图3所示，在确定具体的对应的采样位置时，可以采取每4个点取一个点，一共就4种可能的位置。其中，基于第四种降采样位置获得的降采样结果进行信道估计，可以得到最佳的系统性能。
如图3所示，在一实施例中，图中四个降采样位置，具体对应的采样位置是，Shift＝0对应按照最大值的位置降采样，后面依次为偏移1、2、3个点的降采样。
如图1所示，在一实施例中，数字接收机基带信号降采样方法还包括以下步骤：
步骤S200，分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量。
在一实施例中，以4倍过采样接收信号为例，在将本地PN序列信号与接收到的4倍采样导频PN序列信号进行相关运算后，通过对相关结果在4个不同的位置降采样(即根据相关结果确定采样位置及数据)，获得4种情景下的信道响应轮廓；进而，通过将各情景下信道响应轮廓与预设门限阈值进行比较，确定不同情景下的主径。
具体地，在一实施例中，步骤S200包括以下步骤：
步骤S201，分别将各情景下的信道响应轮廓与预设门限阈值进行比较；
步骤S202，选择超过所述预设门限阈值的位置作为对应情景下的主径；
步骤S203，分别计算各个情景下所选出的主径的总能量。
在一实施例中，在确定不同情景下的主径的过程中，可依次进行确定，先选择一情景下的信道响应轮廓，将该信道响应轮廓中各位置的归一化响应值与预先设定的阈值T比较，确定该情景下的主径；其中，所确定的主径就是降采样后超过门限的位置(如图4中所示的主径)。
在一实施例中，门限T可以设置为最强径的1/2或者2/3，可以理解的是，预设门限阈值为预先设定的一个归一化的值，比如1/2或者2/3。
进一步地，在确定某一个情景下的所有主径后，即可计算该情景下所有的主径的能量之和，得到该情景下的主径的总能量；相应地，对于其余的情景，可以采用相同的方法，先确定该情景下的主径，然后再得到该情景下的主径的总能量。
如图1所示，在一实施例中，数字接收机基带信号降采样方法还包括以下步骤：
步骤S300，对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；
步骤S400，计算所述第一情景中最小主径所对应的SINR，以及计算所述第二情景中最小主径所对应的SINR；
步骤S500，将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
在一实施例中，在计算各个情景下所选出的主径的总能量后，对各个情景下主径总能量进行排序，选出总能量排在前两位的两种降采样情景；进而，对选出的两种情景中各自能量最小的主径计算SINR，如图4所示，该情景中能量最小的主径为中间的主径。
在一实施例中，对这两种情景的最差SINR进行比较，选择对应高SINR的情景的采样位置进行降采样，输出1倍的降采样数据。
在一实施例中，数字接收机基带信号降采样方法还包括以下步骤：
步骤S10，将所述本地PN序列信号与接收到的N倍采样导频PN序列信号依次进行相关运算，得到所述相关结果；
步骤S20，寻找所述相关结果中的最大值M；
步骤S30，选择所有大于3/4M的值，并记录所选值对应的位置；
步骤S40，根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略，输出降采样数据。
在一实施例中，在数字接收机基带信号降采样过程中，出现的信道类型包括：长回声信道、多普勒信道以及其他信道；在这些不同的信道中，根据信道类型的不同，可以切换为不同的采样策略，从而最大化降采样后主径的总能量，以及最大化降采样后最弱主径的SINR，通过这样的降采样方式，为接收机后续的信道估计模块提供最佳信道响应，以达到提高接收机总体性能的目的。
在一实施例中，本地PN序列信号与接收到的4倍采样导频PN序列信号进行相关运算，找出所有>3/4×M的值，根据记录的位置判断对应的信道类型是否为长回声信道；若信道类型为长回声信道，则确定所记录的位置中最远径的位置，进而根据该最远径的位置进行降采样，并输出对应的降采样数据。
在一实施例中，在确定是否为长回声信道时，可先查找该情境中的最后一个主径，进而判断该最后一个主径与其之前的一个主径的距离是否超过一定的门限(例如，距离门限为200个位置点)；若满足该门限，则判定信道类型为长回声信道；之后，确定所记录的位置中最远径的位置，根据最远径的位置输出降采样数据。
在一实施例中，若为非长回声信道，则根据记录的位置判断对应的信道类型是否为多普勒信道；若为多普勒信道，则确定所记录的位置中最强径的位置，根据最强径的位置进行降采样，并输出对应的降采样数据。
在一实施例中，若为非长回声信道，也为非多普勒信道，则对各情景下的主径的总能量进行排序，得到排在前两位的情景中最小主径所对应的SINR；将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据，即采用上述步骤S100～步骤S500进行降采样，并输出对应的降采样数据。
当然，在一实施例中，无论在采取何种降采样策略，在降采样后，还需根据预设算法去除干扰，并确定第一条的多径的位置(即第一个超过预设的多径门限的值的位置)；进而，输出降采样以及同步信号；其中，预设算法为CLEAN算法，通过该CLEAN算法去除干扰；也可以采取其他的方式去除干扰。
如图6所示，在实际应用过程中，本申请所提供的降采样算法不仅可以适用于DTMB接收机中，也可以应用于其他无线通信系统的接收机结构中。其中，DTMB接收机同步模块的具体实现步骤为：
步骤101：本地PN序列信号与接收到的4倍采样导频PN序列信号进行相关运算；
步骤102：寻找相关结果的最大值M；
步骤103：找出所有>3/4×M的值；
步骤104：记录这些值的位置；
步骤105：判断是否为长回声信道，如果是跳到106，如果不是跳到107；
步骤106：根据最远径的位置进行降采样，跳到110；
步骤107：判断是否为多普勒信道，如果是跳到108，如果不是跳到109；
步骤108：根据最强径的位置进行降采样，跳到110；
步骤109：根据本实施例中所提新算法进行降采样；
步骤110：CLEAN算法去除干扰；
步骤111：确定第一条的多径的位置；
步骤112：输出降采样以及同步信号。
如图5所示，在实际应用过程中，根据本申请所提新算法进行降采样的步骤(即上述步骤109)具体实现步骤为：
将本地PN序列信号(Pseudo-noise Sequence)与接收到的4倍采样导频PN序列信号进行相关；
步骤11：4个不同的位置降采样获得4种情景；
步骤12：确定不同情景下的主径；
步骤13：计算各个情景的主径总能量；
步骤14：排序并选出总能量最高的两种情景；
步骤15：对每种情景中能量最小的主径计算SINR；
步骤16：比较两种情景的最差SINR；
步骤17：选择对应高SINR情景的采样点进行降采样；
在一实施例中，根据所提新算法进行降采样后，即可输出1倍降采样数据，本申请通过所提新算法的降采样方式，为接收机后续的信道估计模块提供最佳信道响应，以达到提高接收机总体性能的目的。
本申请通过上述技术方案达到以下技术效果：
本申请通过将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，可以得到多种情景下的信道响应轮廓；从而将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；可以对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；本申请通过计算第一情景中最小主径所对应的SINR，以及计算第二情景中最小主径所对应的SINR；将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据；本申请最大化降采样后主径的总能量以及最大化降采样后最弱主径的SINR，提高了接收机总体性能。
基于上述实施例，本申请还提供一种数字接收机基带信号降采样装置，包括：
第一降采样模块，用于将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓；
总能量计算模块，用于分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；
总能量排序模块，用于对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；
SINR计算模块，用于计算所述第一情景中最小主径所对应的SINR，以及计算所述第二情景中最小主径所对应的SINR；
第二降采样模块，用于将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
基于上述实施例，本申请还提供一种终端，其原理框图可以如图7所示。
该终端包括：通过系统总线连接的处理器、存储器、接口、显示屏以及通讯模块；其中，该终端的处理器用于提供计算和控制能力；该终端的存储器包括存储介质以及内存储器；该存储介质存储有操作系统和计算机程序；该内存储器为存储介质中的操作系统和计算机程序的运行提供环境；该接口用于连接外部设备，例如，移动终端以及计算机等设备；该显示屏用于显示相应的信息；该通讯模块用于与云端服务器或移动终端进行通讯。
该计算机程序被处理器执行时用以实现一种数字接收机基带信号降采样方法的操作。
本领域技术人员可以理解的是，图7中示出的原理框图，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的终端的限定，具体的终端可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。
在一实施例中，提供了一种终端，其中，包括：处理器和存储器，存储器存储有数字接收机基带信号降采样程序，数字接收机基带信号降采样程序被处理器执行时用于实现如上的数字接收机基带信号降采样方法的操作。
在一实施例中，提供了一种存储介质，其中，存储介质存储有数字接收机基带信号降采样程序，数字接收机基带信号降采样程序被处理器执行时用于实现如上的数字接收机基带信号降采样方法的操作。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，计算机程序可存储于一非易失性存储介质中，该计算机程序在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性和/或易失性存储器。
综上，本申请提供了一种数字接收机基带信号降采样方法、装置、终端及存储介质，方法包括：将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样；分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；计算第一情景中最小主径所对应的SINR，以及计算第二情景中最小主径所对应的SINR；将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。本申请最大化降采样后主径的总能量以及最大化降采样后最弱主径的SINR，提高接收机总体性能。
应当理解的是，本申请的应用不限于上述的举例，对本领域普通技术人员来说，可以根据上述说明加以改进或变换，所有这些改进和变换都应属于本申请所附权利要求的保护范围。

Claims (13)

  1. 一种数字接收机基带信号降采样方法，其中，所述方法包括：
    将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓；
    分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；
    对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；
    计算所述第一情景中最小主径所对应的SINR，以及计算所述第二情景中最小主径所对应的SINR；
    将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
  2. 根据权利要求1所述的数字接收机基带信号降采样方法，其中，所述将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓，包括：
    将所述本地PN序列信号与接收到的N倍采样导频PN序列信号依次进行相关运算，得到所述相关结果；
    根据所述相关结果在N个不同的位置进行降采样，获得N种情景下的信道响应轮廓。
  3. 根据权利要求1所述的数字接收机基带信号降采样方法，其中，所述预设门限阈值为预先设定的归一化阈值。
  4. 根据权利要求1所述的数字接收机基带信号降采样方法，其中，所述分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量，包括：
    分别将各情景下的信道响应轮廓与预设门限阈值进行比较；
    选择超过所述预设门限阈值的位置作为对应情景下的主径；
    分别计算各个情景下所选出的主径的总能量。
  5. 根据权利要求1所述的数字接收机基带信号降采样方法，其中，还包括：
    将所述本地PN序列信号与接收到的N倍采样导频PN序列信号依次进行相关运算，得到所述相关结果；
    寻找所述相关结果中的最大值M；
    选择所有大于3/4M的值，并记录所选值对应的位置；
    根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略，输出降采样数据。
  6. 根据权利要求5所述的数字接收机基带信号降采样方法，其中，所述信道类型包括：长回声信道、多普勒信道。
  7. 根据权利要求6所述的数字接收机基带信号降采样方法，其中，所述根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略，输出降采样数据，包括：
    根据记录的位置判断对应的信道类型是否为所述长回声信道；
    若为所述长回声信道，则确定所记录的位置中最远径的位置，根据所述最远径的位置进行降采样，并输出对应的降采样数据。
  8. 根据权利要求7所述的数字接收机基带信号降采样方法，其中，所述根据记录的位置判断对应的信道类型是否为所述长回声信道，之后还包括：
    若为非长回声信道，则根据记录的位置判断对应的信道类型是否为所述多普勒信道；
    若为所述多普勒信道，则确定所记录的位置中最强径的位置，根据所述最强径的位置进行降采样，并输出对应的降采样数据。
  9. 根据权利要求8所述的数字接收机基带信号降采样方法，其中，所述根据记录的位置判断对应的信道类型是否为所述多普勒信道，之后还包括：
    若为非多普勒信道，则对各情景下的主径的总能量进行排序，得到排在前两位的情景中最小主径所对应的SINR；
    将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
  10. 根据权利要求5所述的数字接收机基带信号降采样方法，其中，所述根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略，输出降采样数据，还包括：
    根据记录的位置确定对应的信道类型，并根据所确定的信道类型选择对应的采样策略进行降采样；
    根据预设算法去除干扰，并确定第一条的多径的位置；
    输出降采样以及同步信号。
  11. 一种数字接收机基带信号降采样装置，其中，所述装置包括：
    第一降采样模块，用于将本地PN序列信号与接收到的采样导频PN序列信号进行相关运算，并根据相关结果在不同位置下进行降采样，得到多种情景下的信道响应轮廓；
    总能量计算模块，用于分别将得到的信道响应轮廓与预设门限阈值进行比较，确定各情景下对应的主径，并计算各情景下的主径的总能量；
    总能量排序模块，用于对各情景下的主径的总能量进行排序，得到排在前两位的第一情景和第二情景；
    SINR计算模块，用于计算所述第一情景中最小主径所对应的SINR，以及计算所述第二情景中最小主径所对应的SINR；
    第二降采样模块，用于将计算得到的两个SINR进行比较，选择较高SINR对应的情景的采样位置进行采样，并输出采样数据。
  12. 一种终端，其中，所述终端包括：处理器以及存储器，所述存储器存储有数字接收机基带信号降采样程序，所述数字接收机基带信号降采样程序被所述处理器执行时用于实现如权利要求1-10中任意一项所述的数字接收机基带信号降采样方法的操作。
  13. 一种存储介质，其中，所述存储介质为计算机可读存储介质，所述存储介质存储有数字接收机基带信号降采样程序，所述数字接收机基带信号降采样程序被处理器执行时用于实现如权利要求1-10中任意一项所述的数字接收机基带信号降采样方法的操作。
PCT/CN2023/113357 2022-09-08 2023-08-16 数字接收机基带信号降采样方法、装置、终端及存储介质 WO2024051461A1 (zh)

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