CN111384994A

CN111384994A - Signal processing method and device

Info

Publication number: CN111384994A
Application number: CN201811626626.8A
Authority: CN
Inventors: 王鹏鹏; 胡溢文; 吴雷; 周行; 胡攀攀
Original assignee: Wuhan Wanji Information Technology Co Ltd
Current assignee: Wuhan Wanji Information Technology Co Ltd
Priority date: 2018-12-28
Filing date: 2018-12-28
Publication date: 2020-07-07
Anticipated expiration: 2038-12-28
Also published as: CN111384994B

Abstract

The invention provides a signal processing method and a signal processing device, wherein the method comprises the following steps: acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code through an FPGA module, wherein the first waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the baseband code element, and the second waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the lead code; performing digital-to-analog conversion on an output signal of the FPGA module to obtain an analog signal, wherein the output signal is a signal obtained by outputting first waveform data and second waveform data according to the sequence indicated by target data; and filtering the analog signal through a first low-pass filter to obtain a baseband signal corresponding to the target data. The invention solves the problem that the adjacent channel power leakage index is deteriorated due to incomplete signal filtering under the same resource in a mode of limiting the bandwidth of a baseband signal by a digital low-pass filter realized in an FPGA.

Description

Signal processing method and device

Technical Field

The present invention relates to the field of communications, and in particular, to a method and an apparatus for processing a signal.

Background

In an ultrahigh frequency system, the adjacent channel power leakage is an important index for measuring the radio frequency performance of a reader-writer, and the index shows the ratio of the transmitting power of the local channel of the working signal to the power of the adjacent channel. The spectral characteristics of the operating signal are affected by the spectral characteristics of the baseband signal, that is, the spectral characteristics of the operating signal can be controlled by adjusting the spectral characteristics of the baseband signal.

At present, a commonly used method is to implement a digital low-pass filter in an FPGA (Field Programmable Gate Array) to limit the bandwidth of a baseband signal, and further limit the spectral bandwidth of an operating signal. However, due to the limitation of internal resources of the FPGA, the order of the digital filter cannot be made very high, which results in slow stop-band attenuation of the filter, or incomplete signal filtering of partial frequency, which results in deterioration of adjacent channel power leakage index, and delay of signal due to filtering processing by the FPGA.

Disclosure of Invention

The embodiment of the invention provides a signal processing method and a signal processing device, which are used for at least solving the problem that the adjacent channel power leakage index is deteriorated due to incomplete signal filtering under the same resource in a mode of limiting the bandwidth of a baseband signal by a digital low-pass filter realized in an FPGA (field programmable gate array) in the related art.

According to an embodiment of the present invention, there is provided a signal processing method including: acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code through a Field Programmable Gate Array (FPGA) module, wherein the first waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the baseband code element, and the second waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the lead code; performing digital-to-analog conversion on an output signal of the FPGA module to obtain an analog signal, wherein the output signal is a signal obtained by outputting the first waveform data and the second waveform data according to the sequence indicated by the target data; and filtering the analog signal through a first low-pass filter to obtain a baseband signal corresponding to the target data.

Optionally, the acquiring, by the FPGA module, the first waveform data of the baseband symbol and the second waveform data of the preamble corresponding to the target data includes: acquiring the second waveform data of the lead code through an FPGA module; acquiring the first waveform data of the baseband code element indicated by the target data through the FPGA module by taking the length of the baseband code element as a unit; and sequentially outputting the acquired second waveform data and the acquired first waveform data through an FPGA module.

Optionally, the acquiring, by the FPGA module, the first waveform data of the baseband symbol and the second waveform data of the preamble corresponding to the target data includes: reading the first waveform data and the second waveform data from a waveform data file through the FPGA module, wherein the first waveform data and the second waveform data are pre-stored in the waveform data file.

Optionally, before the first waveform data of the baseband symbol corresponding to the target data and the second waveform data of the preamble are acquired by the FPGA module, the method further includes: filtering the baseband code elements with the first preset number by using a second low-pass filter to obtain first intermediate waveform data with the first preset number; filtering the lead code by using a third low-pass filter to obtain second intermediate waveform data; fitting a first preset number of the first intermediate waveform data and the second intermediate waveform data by adopting a polynomial interpolation mode to obtain a first preset number of the first waveform data and the second waveform data.

Optionally, the processing, by using the second low-pass filter, the first predetermined number of baseband symbols to obtain the first predetermined number of first intermediate waveform data includes: carrying out pairwise coding on the baseband code elements with the first preset number according to a permutation and combination mode to obtain coded data with a second preset number; filtering a second preset number of the coded data by using the second low-pass filter, and performing normalization processing to obtain a second preset number of normalized data; respectively extracting a first target number of first waveform data to be selected, which correspond to each baseband code element and meet a threshold condition from a second preset number of normalized data, wherein the threshold condition is that the difference between the amplitude of a starting point and the amplitude of an end point of the waveform data and the midpoint of the amplitude of the waveform data is within a target threshold range; and selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the first target number of the first waveform data to be selected respectively as the first intermediate waveform data corresponding to each baseband code element.

Optionally, fitting a first predetermined number of the first intermediate waveform data and the second intermediate waveform data by using a polynomial interpolation manner, and obtaining the first predetermined number of the first waveform data and the second waveform data includes: performing two splicing on the first intermediate waveform data with a first preset number to obtain first spliced data with a second preset number; splicing the second intermediate waveform data before each first spliced data to obtain second spliced data with a second preset number; fitting a second preset number of second splicing data respectively in a polynomial interpolation mode to obtain a second preset number of fitting data; extracting a second target number of second waveform data to be selected corresponding to each baseband code element from a second preset number of fitting data; selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the second waveform data to be selected with the second target number as the first waveform data corresponding to each baseband code element; extracting a second preset number of third waveform data to be selected corresponding to the lead code from a second preset number of fitting data; and selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the third waveform data to be selected with the second preset number as the second waveform data.

Optionally, after filtering the analog signal by the first low-pass filter to obtain the baseband signal corresponding to the target data, the method further includes: modulating the baseband signal by using a carrier wave with a target frequency to obtain a modulated signal; and transmitting the obtained modulation signal through a target channel.

According to another embodiment of the present invention, there is provided a signal processing apparatus including: the system comprises a Field Programmable Gate Array (FPGA) module, a digital analog (D/A) converter and a first low-pass filter, wherein the FPGA module is connected with the D/A converter and used for acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code, the first waveform data is waveform data obtained by low-pass filtering and fitting the baseband code element, and the second waveform data is waveform data obtained by low-pass filtering and fitting the lead code; the D/a converter is connected to the FPGA module and the D/a converter, and configured to perform digital-to-analog conversion on an output signal of the FPGA module to obtain an analog signal, where the output signal is a signal obtained by outputting the first waveform data and the second waveform data according to an order indicated by the target data; and the first low-pass filter is connected with the D/A converter and used for filtering the analog signal to obtain a baseband signal corresponding to the target data.

Optionally, the FPGA module is further configured to acquire the second waveform data of the preamble and the first waveform data of the baseband symbol indicated by the target data, and sequentially output the acquired second waveform data and the acquired first waveform data.

Optionally, the apparatus further comprises: the waveform data storage module is connected with the FPGA module and used for storing first waveform data of the baseband code element and second waveform data of the lead code; the FPGA module is also connected with the waveform data storage module and is further used for acquiring the first waveform data and the second waveform data from the waveform data storage module.

Optionally, the apparatus further comprises: the first filtering module is connected with the fitting module and used for filtering the baseband code elements of the first preset number by using a second low-pass filter to obtain first intermediate waveform data of the first preset number; the second filtering module is connected with the fitting module and used for filtering the lead code by using a third low-pass filter to obtain second intermediate waveform data; the fitting module is connected with the first filtering module and the second filtering module, and is configured to fit a first predetermined number of the first intermediate waveform data and the second intermediate waveform data in a polynomial interpolation manner, so as to obtain a first predetermined number of the first waveform data and the second waveform data.

Optionally, the first filtering module includes: the encoding unit is connected with the filtering unit and used for pairwise encoding the baseband code elements of the first preset number according to a permutation and combination mode to obtain encoded data of a second preset number; the filtering unit is connected with the encoding unit and the first extracting unit and is used for filtering a second preset number of the encoded data by using the second low-pass filter and carrying out normalization processing to obtain a second preset number of normalized data; the first extraction unit is connected with the filtering unit and the first selection unit and is used for extracting first waveform data to be selected, corresponding to each baseband code element, of a first target number meeting a threshold condition from the normalization data of a second preset number respectively, wherein the threshold condition is that the difference value between the amplitude of a starting point and the amplitude of an end point of the waveform data and the midpoint of the amplitude of the waveform data is within a target threshold range; the first selecting unit is connected with the first extracting unit and used for selecting the waveform data with the most repetition times and the amplitude of the starting point being greater than or equal to the amplitude of the end point from the first to-be-selected waveform data with the first target number respectively as the first intermediate waveform data corresponding to each baseband code element.

Optionally, the fitting module comprises: the first splicing unit is connected with the second splicing unit and is used for splicing the first intermediate waveform data with a first preset number into two pieces to obtain first spliced data with a second preset number; the second splicing unit is connected with the first splicing unit and the fitting unit and is used for splicing the second intermediate waveform data before each first splicing data to obtain second splicing data with a second preset number; the fitting unit is connected with the second splicing unit and the second extraction unit and is used for respectively fitting a second preset number of second splicing data in a polynomial interpolation mode to obtain a second preset number of fitting data; the second extraction unit is connected with the fitting unit and the second selection unit and used for extracting second target number of second waveform data to be selected corresponding to each baseband code element from a second preset number of fitting data; the second selecting unit is connected with the second extracting unit and is used for selecting the waveform data with the largest repetition times and the amplitude of the starting point being greater than or equal to the amplitude of the end point from the second waveform data to be selected with a second target number as the first waveform data corresponding to each baseband code element; the third extraction unit is connected with the fitting unit and the third selection unit and used for extracting a second preset number of third waveform data to be selected corresponding to the lead code from a second preset number of fitting data; and the third selection unit is connected with the third extraction unit and used for selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the third waveform data to be selected with a second preset number as the second waveform data.

Optionally, the apparatus further comprises: the modulation module is connected with the first low-pass filter and the sending module and used for modulating the baseband signal by using a carrier wave with a target frequency to obtain a modulation signal; and the transmitting module is connected with the modulating module and used for transmitting the obtained modulating signal through a target channel.

By the invention, the first waveform data of the baseband code element corresponding to the target data and the second waveform data of the lead code are obtained by the FPGA module, wherein the first waveform data is waveform data obtained by low-pass filtering and fitting the baseband symbol, the second waveform data is waveform data obtained by low-pass filtering and fitting the preamble, because the target data is represented by the baseband code element, the FPGA module directly acquires the waveform data corresponding to the baseband code element and the waveform data corresponding to the lead code, a digital low-pass filter implemented in the FPGA is not needed to limit the bandwidth of a baseband signal, the efficiency of signal filtering processing is improved, the power leakage index of an adjacent channel is optimized, and the problem that the power leakage index of the adjacent channel is deteriorated due to incomplete signal filtering under the same resource in the mode that the digital low-pass filter implemented in the FPGA in the related technology limits the bandwidth of the baseband signal is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:

fig. 1 is a block diagram of a hardware architecture of an alternative uhf reader according to an embodiment of the present invention;

FIG. 2 is a flow chart of an alternative method of signal processing according to an embodiment of the present invention;

FIG. 3 is a block diagram of an alternative signal processing apparatus according to an embodiment of the present invention;

FIG. 4 is a flow diagram of an alternative signal processing method according to an embodiment of the invention;

FIG. 5 is a flow chart of yet another alternative method of signal processing according to an embodiment of the present invention;

fig. 6 is a block diagram of an alternative signal processing apparatus according to an embodiment of the present invention.

Detailed Description

The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

Example 1

The method provided by the first embodiment of the present application can be implemented in an ultrahigh frequency reader/writer or a similar device. Taking the operation on an ultrahigh frequency reader/writer as an example, fig. 1 is a hardware structure block diagram of an optional ultrahigh frequency reader/writer according to an embodiment of the present invention. As shown in fig. 1, the uhf reader 10 may include one or more processors 102 (only one is shown in fig. 1) (the processor 102 may include, but is not limited to, a processing device such as an FPGA or the like) and a memory 104 for storing data, and optionally, the uhf reader 10 may further include a D/a (Digital-to-Analog) converter 106, a first low pass filter 108, a modem 110, and a transmission device 112 for communication function. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and it does not limit the structure of the uhf reader/writer. For example, the uhf reader 10 may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.

The memory 104 may be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the signal processing method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 104 may further include memory located remotely from processor 102, which may be connected to UHF reader/writer 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The D/a converter 106 is used to convert the digital signal into an analog signal. The first low pass filter 108 is used for low pass filtering the input signal, and the modem 110 is used for converting a low frequency baseband signal into a high frequency modulated signal or converting a high frequency modulated signal into a low frequency baseband signal. And the transmitting device 112 is used to receive or transmit data via a network. The specific example of the network described above may include a wireless network provided by a communication provider of the uhf reader/writer 10.

In one example, the transmission device 112 may include a transceiver antenna, and may further include a Network Interface Controller (NIC), which may be connected to other Network devices through a base station so as to communicate with the internet.

In this embodiment, a method for processing a signal operating in the uhf reader is provided, and fig. 2 is a flowchart of an optional method for processing a signal according to an embodiment of the present invention, as shown in fig. 2, the method includes the following steps:

step S202, acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code through an FPGA module, wherein the first waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the baseband code element, and the second waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the lead code;

step S204, performing digital-to-analog conversion on the output signal of the FPGA module to obtain an analog signal, wherein the output signal is a signal obtained by outputting the first waveform data and the second waveform data according to the sequence indicated by the target data;

in step S206, the analog signal is filtered by the first low-pass filter to obtain a baseband signal corresponding to the target data.

Through the steps, the FPGA module is used for acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code, wherein the first waveform data is waveform data obtained by low-pass filtering and fitting the baseband code element, the second waveform data is waveform data obtained by low-pass filtering and fitting the lead code, the target data is represented by the baseband code element, the FPGA module directly acquires the waveform data corresponding to the baseband code element and the waveform data corresponding to the lead code without limiting the bandwidth of a baseband signal by a digital low-pass filter realized in the FPGA, the problem that the adjacent channel power leakage index is deteriorated due to incomplete signal filtering under the same resource in the mode that the bandwidth of the baseband signal is limited by the digital low-pass filter realized in the FPGA in the related art is solved, and the efficiency of signal filtering processing is improved, and optimizing the adjacent channel power leakage index.

Optionally, the acquiring, by the FPGA module, the first waveform data of the baseband symbol corresponding to the target data and the second waveform data of the preamble includes: reading first waveform data and second waveform data from a waveform data file through an FPGA module, wherein the first waveform data and the second waveform data are stored in the waveform data file in advance.

The baseband symbol is a basic unit constituting a baseband signal, and the number of bits of the baseband symbol may be predetermined, for example, 1 bit, 2 bits, and 3 bits. For example, the baseband symbol may include the following data symbols: 00. 01, 10 and 11.

The preamble may contain forward link data information and may also serve as synchronization. For example, the preamble may include the following data symbols: 0 and 1.

The final baseband symbol and preamble waveform data may be written to a waveform data file. When data transmission is performed, the FPGA module may read out the second waveform data of the preamble from the waveform data file, and sequentially read out the first waveform data of the baseband symbol corresponding to the data content to be transmitted according to the sequence indicated by the data content to be transmitted (target data).

The waveform data File may be a mif File (Memory Initialization File).

According to the technical scheme of the embodiment of the invention, the first waveform data and the second waveform data are stored in the waveform data file in advance, so that the acquisition efficiency of the waveform data can be improved, and the delay of signals can be further reduced.

Optionally, the acquiring, by the FPGA module, the first waveform data of the baseband symbol corresponding to the target data and the second waveform data of the preamble includes: acquiring second waveform data of the lead code through the FPGA module; sequentially acquiring first waveform data of a baseband code element indicated by target data through an FPGA module; and outputting the acquired second waveform data and the acquired first waveform data through the FPGA module in sequence.

The first waveform data and the second waveform data can be obtained through the FPGA module and output: the second waveform data of the lead code can be firstly acquired through the FPGA module; the method comprises the steps of obtaining first waveform data of a baseband code element indicated by data content (target data) to be transmitted through an FPGA module, and obtaining second waveform data and the first waveform data. The output mode may be a mode in which the waveform data is acquired and output, or a mode in which all the waveform data is acquired and then output.

For example, the baseband symbol includes: 00. 01, 10 and 11, the data content to be transmitted is: 10011101, the FPGA module first acquires waveform data of the preamble, and then sequentially acquires waveform data of the baseband symbols 10, 01, 11, and 01 in units of the symbol length (2 bits) of the baseband symbol. And outputs the acquired waveform data.

Through the technical scheme of the embodiment of the invention, the second waveform data of the acquired lead code and the first waveform data of the baseband code element are sequentially output, so that the output content of the FPGA module can be ensured to correspond to the target data, and the accuracy of signal transmission is ensured.

Optionally, before the first waveform data of the baseband code element corresponding to the target data and the second waveform data of the preamble are acquired through the FPGA module, filtering the baseband code elements of the first predetermined number by using a second low-pass filter to obtain first intermediate waveform data of the first predetermined number; filtering the lead code by using a third low-pass filter to obtain second intermediate waveform data; and fitting the first intermediate waveform data and the second intermediate waveform data of the first preset number in a polynomial interpolation mode to obtain the first waveform data and the second waveform data of the first preset number.

Before the first waveform data and the second waveform data are acquired by the FPGA module, the waveform data of the baseband symbol and the waveform data of the preamble may be generated. The means for generating the baseband symbol may be matlab or other mathematical software that can perform data processing.

For a first predetermined number (e.g., 4, 9) of baseband symbols, a first predetermined number of first intermediate waveform data may be obtained by filtering each baseband symbol using a second low-pass filter. The second low pass filter uses a raised cosine filter of order higher than 256.

For the preamble, a third low-pass filter may be used to perform filtering processing on the preamble, so as to obtain second intermediate waveform data. The third low-pass filter may be identical in parameter (order) to the second low-pass filter, e.g. raised cosine filters each higher than 256 orders.

The first intermediate waveform data may be output as first waveform data, and the second intermediate waveform data may be output as second waveform data.

Optionally, after the first intermediate waveform data and the second intermediate waveform data are obtained, fitting optimization may be performed on the first intermediate waveform data and the second intermediate waveform data in a polynomial interpolation manner to obtain the first waveform data and the second waveform data.

Since the first waveform data of the baseband symbol and the second waveform data of the preamble are obtained by using common processing software (such as matlab), digital low-pass filtering implemented in an FPGA is not needed, and additional resources are not consumed. Also, low-pass filtering the baseband symbol and the preamble using a high-order filter (e.g., a raised cosine filter of order higher than 256) may improve the accuracy of signal filtering. Therefore, the problem that the power leakage index of the adjacent signal is deteriorated due to incomplete signal filtering under the same resource can be solved.

According to the technical scheme of the embodiment of the invention, the first waveform data and the second waveform data obtained by filtering are fitted and optimized by adopting a polynomial interpolation mode to obtain the first waveform data and the second waveform data, so that the smoothness of the baseband data waveform obtained by splicing the baseband code elements can be ensured, and the condition that the adjacent channel power leakage index is deteriorated due to sudden change of the baseband data waveform is avoided.

Optionally, the processing the first predetermined number of baseband symbols by using the second low-pass filter to obtain the first predetermined number of first intermediate waveform data includes: carrying out pairwise coding on the baseband code elements with the first preset number according to a permutation and combination mode to obtain coded data with a second preset number; filtering the coded data of the second preset number by using a second low-pass filter, and performing normalization processing to obtain normalized data of the second preset number; respectively extracting a first target number of first waveform data to be selected, which correspond to each baseband code element and meet a threshold condition from a second preset number of normalized data, wherein the threshold condition is that the difference between the amplitude of a starting point and the amplitude of an end point of the waveform data and the midpoint of the amplitude of the waveform data is within a target threshold range; and selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the first waveform data to be selected with the second target number respectively as first intermediate waveform data corresponding to each baseband code element.

The first predetermined number (N) of baseband symbols may be encoded pairwise in a permutation and combination manner to obtain a second predetermined number (N × N) of encoded data.

For example, the baseband symbol includes 4 kinds (00, 01, 10, and 11), and the coded data obtained after pairwise coding includes 16 kinds (00, 00; 00, 01; 00, 10; 00, 11; 01, 00; 01, 01; 01, 10; 01, 11; 10, 00; 10, 01; 10, 10; 10, 11; 11, 00; 11, 01; 11, 10; 11, 11).

And filtering the second preset number of coded data by using a second low-pass filter to obtain second preset number of filtered data. After the filtered data is obtained, normalization processing can be performed on the filtered data to obtain a second predetermined number of normalized data so as to meet the input requirement of the digital-to-analog converter. The normalization mode is as follows: the waveform data after filtering is normalized by dividing the amplitude of the maximum amplitude point in the waveform data.

For each baseband code element, the first preset number of 2 × waveform data corresponding to the second preset number of normalized data can be screened out from the 2 × first preset number of waveform data, the first target number of first candidate waveform data meeting the preset condition can be screened out from the first preset number of waveform data, the preset condition can comprise at least one of a number condition (for example, the first preset number of filtered data before the baseband code element in combination is selected), and a threshold condition, wherein the threshold condition can be that the amplitude of the starting point and the end point of the waveform data meet the threshold requirement, and the threshold is that any value which is 2% -10% of the amplitude of the baseband code element is taken as a reference, and the threshold is taken as a boundary (target threshold range).

For each baseband symbol, the waveform data with the largest number of repetitions and the starting-point amplitude greater than or equal to the ending-point amplitude may be selected from the first target number of first waveform data to be selected, respectively, as the first intermediate waveform data corresponding to each baseband symbol.

Optionally, for each baseband code element, comparing the first to-be-selected waveform data of the first target number respectively, removing the repeated waveform data with the same amplitude of the starting point and the end point, only keeping one group, and recording the number of times of repetition; on the basis of rejecting the repeated first waveform data to be selected, rejecting the first waveform data to be selected of which the amplitude of the starting point is smaller than that of the end point; and after the first waveform data to be selected which does not meet the conditions is removed, selecting the waveform data with the most repetition times from the rest first waveform data to be selected as first intermediate waveform data corresponding to the baseband code element.

The baseband code element waveform data with the starting point amplitude smaller than the end point amplitude is removed, so that the situation that the end point amplitude of the previous code element is larger than the starting point amplitude of the next code element to cause the waveform mutation of the baseband data and cause the power leakage index of the adjacent channel to be deteriorated when the baseband code elements are spliced can be prevented.

According to the technical scheme of the embodiment of the invention, the baseband code elements are coded in a pairwise arrangement and combination mode, and the first intermediate waveform data is obtained through low-pass filtering, normalization and waveform data screening (amplitude condition and repetition times), so that the characterization capability of the obtained first intermediate waveform data on the baseband code elements and the smoothness when the baseband data waveforms are spliced can be ensured.

Optionally, fitting a first predetermined number of first intermediate waveform data and second intermediate waveform data by using a polynomial interpolation method to obtain the first predetermined number of first waveform data and second waveform data includes: performing two splicing on the first intermediate waveform data with the first preset number to obtain first spliced data with a second preset number; splicing the second intermediate waveform data before each first spliced data to obtain second spliced data with a second preset number; fitting the second splicing data of the second preset number by adopting a polynomial interpolation mode to obtain fitting data of the second preset number; extracting a second target number of second waveform data to be selected corresponding to each baseband code element from a second preset number of fitting data; selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the second candidate waveform data with the second target number as the first waveform data corresponding to each baseband code element; extracting a second preset number of third waveform data to be selected corresponding to the lead code from the second preset number of fitting data; and selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the third candidate waveform data with the second preset number as second waveform data.

After obtaining the first predetermined number (N) of first intermediate waveform data and the second intermediate waveform data, two concatenations of the first predetermined number (N × N) of the first intermediate waveform data may be performed to obtain a second predetermined number (N × N) of first concatenated data.

And for each second splicing data, fitting optimization is respectively carried out in a polynomial interpolation mode, and the data after fitting optimization is output.

A second target number of second candidate waveform data corresponding to each baseband symbol may be extracted from a second predetermined number of fitting data.

The conditions of extraction may include at least one of: a number condition (for example, a first predetermined number of waveform data to be selected before the combined time-band symbol is selected), and a threshold condition, where the threshold condition may be: the amplitude values of the starting point and the end point of the waveform data meet the threshold value requirement, and the threshold value is as follows: and taking the middle point of the amplitude of the baseband code element as a reference, and taking any value which is floated up and down by 2% -10% as a boundary.

For each baseband symbol, the waveform data with the largest repetition number and the amplitude of the starting point greater than or equal to the amplitude of the ending point can be selected from the second candidate waveform data with the second target number as the first waveform data corresponding to each baseband symbol.

Optionally, for each baseband code element, respectively comparing second candidate waveform data of a second target number, removing repeated waveform data with the same starting point amplitude and end point amplitude, only keeping one group, and recording the number of times of repetition; on the basis of rejecting repeated second waveform data to be selected, rejecting waveform data of which the amplitude of the starting point is smaller than that of the end point in the second waveform data to be selected; and after second candidate waveform data which do not meet the conditions are removed, selecting the waveform data with the most repetition times from the rest second candidate waveform data as first waveform data corresponding to the baseband code elements.

The second candidate waveform data with the starting point amplitude smaller than the end point amplitude is removed, so that the situation that the waveform of the baseband data is suddenly changed to cause the power leakage index of the adjacent channel to be deteriorated due to the fact that the end point amplitude of the previous code element is larger than the starting point amplitude of the next code element when the baseband code elements are spliced can be prevented.

Through the technical scheme of the embodiment of the invention, the smoothness of the waveform of the baseband data can be ensured by performing fitting optimization in a mode of splicing the first intermediate waveform data in pairs and splicing the first intermediate waveform data with the second intermediate waveform data respectively.

The output signal of the FPGA module can be subjected to digital-to-analog conversion through the D/A converter to obtain an analog signal, and the analog signal is filtered through the first low-pass filter to obtain a baseband signal.

Optionally, after the analog signal is filtered by the first low-pass filter to obtain a baseband signal corresponding to the target data, the baseband signal may be modulated by using a carrier with a target frequency to obtain a modulated signal; and transmitting the obtained modulation signal through the target channel.

The baseband signal (analog baseband signal) obtained after filtering may be modulated to obtain a modulated signal (working signal), and the modulated signal may be transmitted through the target signal.

By the technical scheme of the embodiment of the invention, the baseband signal is modulated and transmitted, so that the working signal can be transmitted in the target signal, and the successful transmission of the signal is ensured.

The following description will be made with reference to the following examples. The signal processing method in this example can be applied to the apparatus for signal processing shown in fig. 3. As shown in fig. 3, the apparatus includes: a waveform data storage module 302, an FPGA control module 304 (acting as an FPGA module), a DAC (Digital-to-Analog conversion) module 306 (acting as a D/a converter), a low pass filtering module 308 (acting as a first low pass filter), and a modulation module 310.

The waveform data storage module 302 is connected to the FPGA control module 304, and is configured to store the waveform data of the baseband symbol and the waveform data of the preamble for the FPGA control module 304 to call.

The baseband symbol and preamble data information in the waveform data storage module 302 is data after high-order filtering, screening, and optimization by Matlab.

The FPGA control module 304 is connected to the waveform data storage module 302 and the DAC module 306, and is configured to obtain the waveform data of the baseband symbol from the waveform data storage module 302, and control the DAC module 306 to output the waveform data.

The FPGA control module 304 may obtain the waveform data of the corresponding baseband symbol or the waveform data of the preamble from the waveform data storage module 302 in a table lookup manner according to the coding requirement, and control the DAC module to output the waveform data.

And the DAC module 306 is connected to the FPGA control module 304 and the low-pass filtering module 308, and is configured to convert the baseband symbol and the preamble digital quantity output by the FPGA control module 304 into an analog baseband signal.

And a low-pass filtering module 308 connected to the DAC module 306 and the modulation module 310, for filtering the analog baseband signal output by the DAC module 306.

The low-pass filtering module is realized by adopting a 2-order LC low-pass filter.

And a modulation module 310, connected to the low-pass filtering module 308, for modulating the filtered analog baseband.

Fig. 4 is a flowchart of another alternative signal processing method according to an embodiment of the present invention, which can be applied to the signal processing apparatus shown in fig. 3 for processing signals of an ultra-high frequency reader/writer. As shown in fig. 4, the above method may include the steps of:

step S402, Matlab is adopted to filter the baseband code elements and the lead codes, low-pass filtered waveform data is screened and optimized, and final waveform data of the baseband code elements and the lead codes is output.

The baseband symbol may be a basic unit constituting a baseband signal, and may be composed of four data symbols 00, 01, 10, and 11. The preamble contains forward link rate information and can play a role of synchronization, and consists of two data symbols, namely 0 and 1.

Matlab is adopted to filter and fit the baseband code elements and the lead codes, and the low-pass filter can be a raised cosine filter with the order higher than 256.

Step S404, writing the final baseband symbol and preamble waveform data into the mif file and storing the mif file in the waveform data storage module.

The mif file is a memory initialization file, and the final baseband code element and the waveform data of the lead code are stored in the mif file and can be searched and called by the FPGA control module.

Step S406, the FPGA control module acquires waveform data corresponding to the baseband code element or the lead code from the mif file according to the coding requirement and outputs the waveform data through the DAC module.

The FPGA control module acquires waveform data of a baseband code element or a lead code required to be sent from the mif file in a table look-up mode and outputs the waveform data through a DAC (Digital to Analog Converter) module.

In step S408, the analog baseband signal output by the DAC module is filtered by the low-pass filtering module to generate an analog transmission baseband finally entering the modulation module.

The filter used for filtering the analog baseband signal may be a 2-order LC filter (the LC filter is also called a passive filter, and is a filter circuit designed by using a combination of an inductor, a capacitor, and a resistor).

Alternatively, the signal processing method shown in fig. 5 may be adopted to filter the baseband symbol and the preamble, and filter and optimize the filtered signal, so as to output the final waveform data of the baseband symbol and the preamble. As shown in fig. 5, the signal processing method may include the steps of:

step S502, the 4 kinds of baseband code elements are coded pairwise according to 16 kinds of permutation and combination modes.

Pairwise coding of 4 baseband symbols (00, 01, 10, 11) is: 00. 00; 00. 01; 00. 10; 00. 11; 01. 00; 01. 01; 01. 10; 01. 11; 10. 00; 10. 01; 10. 10; 10. 11; 11. 00; 11. 01; 11. 10; 11. 11.

Step S504, 16 groups of codes are filtered, and after the waveform data after filtering is normalized, the amplitude value of the waveform data is adjusted to meet the input requirement of the DAC module.

The low-pass filtering may adopt raised cosine filtering of order higher than 256, and the waveform data after filtering is divided by the amplitude of the maximum amplitude point in the waveform data for normalization.

Step S506, 4 kinds of baseband code element waveform data are extracted, the amplitude values of the starting point and the end point of the baseband code element waveform data are judged, and the baseband code element waveform data meeting the threshold requirement are stored.

In this example, the midpoint of the amplitude of the baseband symbol is used as a threshold for determination, the waveform data of each baseband symbol is 4 sets, and the threshold is defined by any value that floats up and down by 2% -10% on the basis of the midpoint of the amplitude of the baseband symbol.

And step S508, respectively comparing the 4 baseband code element waveform data, eliminating the repeated waveform data of the same baseband code element with the same starting point and end point amplitude values, only reserving one group, and recording the repeated times.

Step S510, on the basis of eliminating the repeated baseband code element waveform data, eliminating the condition that the amplitude of the starting point of the same baseband code element waveform data is smaller than the amplitude of the end point.

In step S512, the baseband symbol waveform data that does not satisfy the condition is removed, and then the data having the largest number of repetitions in step S508 is selected as the waveform data corresponding to the baseband symbol from the remaining baseband symbol waveform data.

Step S514, low-pass filtering the preamble with the same order as the baseband symbol, and storing it.

The low-pass filtering may be completely the same as the parameters of the low-pass filter in step S502, or may be slightly different, and the specific parameters of the low-pass filter may be selected as needed.

And step S516, splicing the 4 kinds of waveform data of the baseband code elements output in the step S512 in pairs, combining the spliced waveform data with the lead code into 16 kinds of possible waveform data, and optimizing the waveform data of the baseband code elements and the lead code in a curve fitting mode to be finally output.

And splicing the waveform data of the 4 baseband code elements output in the step S512 pairwise, and splicing the spliced waveform data, and then splicing the lead code data output in the step S514 before baseband coding to form data to be optimized. And fitting the spliced waveform data in a polynomial interpolation mode, and outputting the data after fitting optimization.

By the embodiment, high-order filtering, splicing and interpolation optimization are performed on the baseband code elements and the lead code information by using Matlab, so that the adjacent channel power leakage index of the ultrahigh frequency reader-writer is improved, the FPGA resource is saved, and the cost is reduced.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.

Example 2

In this embodiment, a signal processing apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and details are not repeated after the description is given. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.

Fig. 6 is a block diagram of another alternative signal processing apparatus according to an embodiment of the present invention, as shown in fig. 6, the apparatus includes: an FPGA module 62, a D/a converter 64, and a first low pass filter 66, wherein,

(1) the FPGA module 62 is connected to the D/a converter 64, and configured to obtain first waveform data of a baseband symbol and second waveform data of a preamble corresponding to target data, where the first waveform data is waveform data obtained by low-pass filtering and fitting the baseband symbol, and the second waveform data is waveform data obtained by low-pass filtering and fitting the preamble;

(2) a D/a converter 64 connected to the FPGA module 62 and the first low-pass filter 66, and configured to perform digital-to-analog conversion on the output signal of the FPGA module to obtain an analog signal, where the output signal is a signal obtained by outputting the first waveform data and the second waveform data according to the sequence indicated by the target data;

(3) a first low pass filter 66 connected to the D/a converter 64 for filtering the analog signal to obtain a baseband signal corresponding to the target data.

It should be noted that the FPGA module 62 in this embodiment may be configured to execute step S202 in this embodiment, the D/a converter 64 in this embodiment may be configured to execute step S204 in this embodiment, and the first low-pass filter 66 in this embodiment may be configured to execute step S206 in this embodiment.

Optionally, the FPGA module 62 may be further configured to acquire the second waveform data of the preamble and the first waveform data of the baseband symbol indicated by the target data, and sequentially output the acquired second waveform data and the acquired first waveform data.

Optionally, the signal processing apparatus further includes: a waveform data storage module, wherein,

a waveform data storage module, connected to the FPGA module 62, for storing the first waveform data of the baseband symbol and the second waveform data of the preamble;

the FPGA module 62 is further connected to the waveform data storage module, and can be further configured to obtain the first waveform data and the second waveform data from the waveform data storage module.

Optionally, the device for processing the device signal may further include:

(1) the first filtering module is connected with the fitting module and used for filtering the baseband code elements with the first preset number by using a second low-pass filter to obtain first intermediate waveform data with the first preset number;

(2) the second filtering module is connected with the fitting module and used for filtering the lead code by using a third low-pass filter to obtain second intermediate waveform data;

(3) and the fitting module is connected with the first filtering module and the second filtering module and is used for fitting the first intermediate waveform data and the second intermediate waveform data of the first preset number in a polynomial interpolation mode to obtain the first waveform data and the second waveform data of the first preset number.

Alternatively, the first filtering module, the second filtering module, and the fitting module may operate in the same device as the FPGA module 62, the D/a converter 64, and the first low-pass filter 66, or may operate in different devices. The first filtering module, the second filtering module and the fitting module may be implemented by matlab running on a specific device.

Optionally, the first filtering module may include:

(1) the encoding unit is connected with the filtering unit and used for pairwise encoding the baseband code elements of the first preset number according to a permutation and combination mode to obtain encoded data of a second preset number;

(2) the filtering unit is connected with the coding unit and the first extraction unit and is used for filtering the coded data of the second preset number by using a second low-pass filter and carrying out normalization processing to obtain normalized data of the second preset number;

(3) the first extraction unit is connected with the filtering unit and the first selection unit and is used for extracting a first target number of first waveform data to be selected, which correspond to each baseband code element and meet a threshold condition from a second predetermined number of normalized data respectively, wherein the threshold condition is that the difference value between the amplitude of a starting point and the amplitude of an end point of the waveform data and the midpoint of the amplitude of the waveform data is within a target threshold range;

(4) and the first selection unit is connected with the first extraction unit and is used for selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the first to-be-selected waveform data with the first target number respectively as first intermediate waveform data corresponding to each baseband code element.

Optionally, the fitting module may include:

(1) the first splicing unit is connected with the second splicing unit and is used for splicing the first intermediate waveform data with the first preset number into two pieces to obtain first spliced data with a second preset number;

(2) the second splicing unit is connected with the first splicing unit and the fitting unit and used for splicing the second intermediate waveform data in front of each first splicing data to obtain second splicing data with a second preset number;

(3) the fitting unit is connected with the second splicing unit and the second extraction unit and is used for respectively fitting second splicing data of a second preset number in a polynomial interpolation mode to obtain fitting data of the second preset number;

(4) the second extraction unit is connected with the fitting unit and the second selection unit and used for extracting second target number of second waveform data to be selected corresponding to each baseband code element from a second preset number of fitting data;

(5) the second selection unit is connected with the second extraction unit and used for selecting the waveform data which has the most repetition times and the amplitude of the starting point is greater than or equal to the amplitude of the end point from second waveform data to be selected with a second target number as first waveform data corresponding to each baseband code element;

(6) the third extraction unit is connected with the fitting unit and the third selection unit and used for extracting a second preset number of third waveform data to be selected corresponding to the lead code from a second preset number of fitting data;

(7) and the third selection unit is connected with the third extraction unit and used for selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the third waveform data to be selected with the second preset number as the second waveform data.

Optionally, the processing device of the signal may further include:

(1) the modulation module is connected with the first low-pass filter and the sending module and used for modulating the baseband signal by using a carrier wave with a target frequency to obtain a modulation signal;

(2) and the transmitting module is connected with the modulating module and used for transmitting the obtained modulated signal through the target channel.

It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.

Example 3

Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.

Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:

s1, acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code through the FPGA module, wherein the first waveform data is waveform data obtained by low-pass filtering and fitting the baseband code element, and the second waveform data is waveform data obtained by low-pass filtering and fitting the lead code;

s2, performing digital-to-analog conversion on the output signal of the FPGA module to obtain an analog signal, wherein the output signal is a signal obtained by outputting the first waveform data and the second waveform data according to the sequence indicated by the target data;

s3, the analog signal is filtered by the first low-pass filter to obtain a baseband signal corresponding to the target data.

Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.

Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.

It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of processing a signal, comprising:

acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code through a Field Programmable Gate Array (FPGA) module, wherein the first waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the baseband code element, and the second waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the lead code;

performing digital-to-analog conversion on an output signal of the FPGA module to obtain an analog signal, wherein the output signal is a signal obtained by outputting the first waveform data and the second waveform data according to the sequence indicated by the target data;

and filtering the analog signal through a first low-pass filter to obtain a baseband signal corresponding to the target data.

2. The method of claim 1, wherein obtaining, by the FPGA module, the first waveform data of the baseband symbol and the second waveform data of the preamble corresponding to the target data comprises:

acquiring the second waveform data of the lead code through an FPGA module;

acquiring, by the FPGA module, the first waveform data of the baseband symbol indicated by the target data;

and sequentially outputting the acquired second waveform data and the acquired first waveform data through an FPGA module.

3. The method of claim 1, wherein obtaining, by the FPGA module, the first waveform data of the baseband symbol and the second waveform data of the preamble corresponding to the target data comprises:

reading the first waveform data and the second waveform data from a waveform data file through the FPGA module, wherein the first waveform data and the second waveform data are pre-stored in the waveform data file.

4. The method of claim 1, wherein before the first waveform data of the baseband symbol and the second waveform data of the preamble corresponding to the target data are acquired by the FPGA module, the method further comprises:

filtering the baseband code elements with the first preset number by using a second low-pass filter to obtain first intermediate waveform data with the first preset number;

filtering the lead code by using a third low-pass filter to obtain second intermediate waveform data;

fitting a first preset number of the first intermediate waveform data and the second intermediate waveform data by adopting a polynomial interpolation mode to obtain a first preset number of the first waveform data and the second waveform data.

5. The method of claim 4, wherein processing a first predetermined number of the baseband symbols using the second low pass filter to obtain a first predetermined number of the first intermediate waveform data comprises:

carrying out pairwise coding on the baseband code elements with the first preset number according to a permutation and combination mode to obtain coded data with a second preset number;

filtering a second preset number of the coded data by using the second low-pass filter, and performing normalization processing to obtain a second preset number of normalized data;

respectively extracting a first target number of first waveform data to be selected, which correspond to each baseband code element and meet a threshold condition from a second preset number of normalized data, wherein the threshold condition is that the difference between the amplitude of a starting point and the amplitude of an end point of the waveform data and the midpoint of the amplitude of the waveform data is within a target threshold range;

and selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the first target number of the first waveform data to be selected respectively as the first intermediate waveform data corresponding to each baseband code element.

6. The method of claim 4, wherein fitting a first predetermined number of the first and second intermediate waveform data using polynomial interpolation to obtain a first predetermined number of the first and second waveform data comprises:

performing two splicing on the first intermediate waveform data with a first preset number to obtain first spliced data with a second preset number;

splicing the second intermediate waveform data before each first spliced data to obtain second spliced data with a second preset number;

fitting a second preset number of second splicing data respectively in a polynomial interpolation mode to obtain a second preset number of fitting data;

extracting a second target number of second waveform data to be selected corresponding to each baseband code element from a second preset number of fitting data;

selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the second waveform data to be selected with the second target number as the first waveform data corresponding to each baseband code element;

extracting a second preset number of third waveform data to be selected corresponding to the lead code from a second preset number of fitting data;

and selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the third waveform data to be selected with the second preset number as the second waveform data.

7. The method of any one of claims 1 to 6, wherein after filtering the analog signal through the first low-pass filter to obtain the baseband signal corresponding to the target data, the method further comprises:

modulating the baseband signal by using a carrier wave with a target frequency to obtain a modulated signal;

and transmitting the obtained modulation signal through a target channel.

8. An apparatus for processing a signal, the apparatus comprising: a FPGA module, a digital-to-analog D/A converter and a first low-pass filter, wherein,

the FPGA module is connected with the D/A converter and used for acquiring first waveform data of a baseband code element corresponding to target data and second waveform data of a lead code, wherein the first waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the baseband code element, and the second waveform data is waveform data obtained after low-pass filtering and fitting are carried out on the lead code;

the D/a converter is connected to the FPGA module and the D/a converter, and configured to perform digital-to-analog conversion on an output signal of the FPGA module to obtain an analog signal, where the output signal is a signal obtained by outputting the first waveform data and the second waveform data according to an order indicated by the target data;

and the first low-pass filter is connected with the D/A converter and used for filtering the analog signal to obtain a baseband signal corresponding to the target data.

9. The apparatus of claim 8,

the FPGA module is further configured to acquire the second waveform data of the preamble and the first waveform data of the baseband symbol indicated by the target data, and sequentially output the acquired second waveform data and the acquired first waveform data.

10. The apparatus of claim 8, further comprising: a waveform data storage module, wherein,

the waveform data storage module is connected with the FPGA module and used for storing first waveform data of the baseband code element and second waveform data of the lead code;

the FPGA module is also connected with the waveform data storage module and is further used for acquiring the first waveform data and the second waveform data from the waveform data storage module.

11. The apparatus of claim 8, further comprising:

the first filtering module is connected with the fitting module and used for filtering the baseband code elements of the first preset number by using a second low-pass filter to obtain first intermediate waveform data of the first preset number;

the second filtering module is connected with the fitting module and used for filtering the lead code by using a third low-pass filter to obtain second intermediate waveform data;

the fitting module is connected with the first filtering module and the second filtering module, and is configured to fit a first predetermined number of the first intermediate waveform data and the second intermediate waveform data in a polynomial interpolation manner, so as to obtain a first predetermined number of the first waveform data and the second waveform data.

12. The apparatus of claim 11, wherein the first filtering module comprises:

the encoding unit is connected with the filtering unit and used for pairwise encoding the baseband code elements of the first preset number according to a permutation and combination mode to obtain encoded data of a second preset number;

the filtering unit is connected with the encoding unit and the first extracting unit and is used for filtering a second preset number of the encoded data by using the second low-pass filter and carrying out normalization processing to obtain a second preset number of normalized data;

the first extraction unit is connected with the filtering unit and the first selection unit and is used for extracting first waveform data to be selected, corresponding to each baseband code element, of a first target number meeting a threshold condition from the normalization data of a second preset number respectively, wherein the threshold condition is that the difference value between the amplitude of a starting point and the amplitude of an end point of the waveform data and the midpoint of the amplitude of the waveform data is within a target threshold range;

the first selecting unit is connected with the first extracting unit and used for selecting the waveform data with the most repetition times and the amplitude of the starting point being greater than or equal to the amplitude of the end point from the first to-be-selected waveform data with the first target number respectively as the first intermediate waveform data corresponding to each baseband code element.

13. The apparatus of claim 11, wherein the fitting module comprises:

the first splicing unit is connected with the second splicing unit and is used for splicing the first intermediate waveform data with a first preset number into two pieces to obtain first spliced data with a second preset number;

the second splicing unit is connected with the first splicing unit and the fitting unit and is used for splicing the second intermediate waveform data before each first splicing data to obtain second splicing data with a second preset number;

the fitting unit is connected with the second splicing unit and the second extraction unit and is used for respectively fitting a second preset number of second splicing data in a polynomial interpolation mode to obtain a second preset number of fitting data;

the second extraction unit is connected with the fitting unit and the second selection unit and used for extracting second target number of second waveform data to be selected corresponding to each baseband code element from a second preset number of fitting data;

the second selecting unit is connected with the second extracting unit and is used for selecting the waveform data with the largest repetition times and the amplitude of the starting point being greater than or equal to the amplitude of the end point from the second waveform data to be selected with a second target number as the first waveform data corresponding to each baseband code element;

the third extraction unit is connected with the fitting unit and the third selection unit and used for extracting a second preset number of third waveform data to be selected corresponding to the lead code from a second preset number of fitting data;

and the third selection unit is connected with the third extraction unit and used for selecting the waveform data with the most repetition times and the amplitude of the starting point greater than or equal to the amplitude of the end point from the third waveform data to be selected with a second preset number as the second waveform data.

14. The apparatus of any one of claims 8 to 13, further comprising:

the modulation module is connected with the first low-pass filter and the sending module and used for modulating the baseband signal by using a carrier wave with a target frequency to obtain a modulation signal;

and the transmitting module is connected with the modulating module and used for transmitting the obtained modulating signal through a target channel.