CN113179549A - Method for acquiring distance between base station and label under low signal-to-noise ratio and related components thereof - Google Patents
Method for acquiring distance between base station and label under low signal-to-noise ratio and related components thereof Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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Abstract
The invention discloses a method for acquiring the distance between a base station and a label under low signal-to-noise ratio and a related component thereof. The method comprises the following steps: performing discrete processing on the multipath analog signal to obtain a discrete digital signal, inputting the discrete digital signal into an average window function for calculation, and respectively inputting the calculation results into a first window filter and a second window filter for filtering processing to obtain a first window function signal and a second window function signal; if the ratio of the maximum value of the second window function signal to the current noise signal is smaller than a preset threshold value; and carrying out convolution operation on the discrete digital signal by utilizing the transfer function to obtain a target signal, inputting the target signal into the average window function again for calculation, carrying out filtering processing on a calculation result to obtain a new first window function signal and a new second window function signal, and further calculating the distance between the base station and the label. According to the invention, more accurate front edge signals are obtained by improving the signal-to-noise ratio, so that the distance between the positioning base station and the positioning label is more accurately calculated.
Description
Technical Field
The invention relates to the technical field of indoor ranging, in particular to a method for acquiring the distance between a base station and a tag under low signal-to-noise ratio and a related component thereof.
Background
Global navigation satellite systems such as GPS, GLONASS, beidou, etc. have been used as default outdoor positioning systems for a long time. In recent years, with the rapid development of the internet of things and the increasing popularization of smart phones, the demand of indoor positioning systems is increasing. Currently, many indoor positioning systems have been developed, such as RFID, Bluetooth Low Energy (BLE), Wi-Fi, based on the conversion of received radio frequency signal strength back to distance information, and UWB ultra-wideband based on the transmission of short pulse signals. The ultra-wideband UWB technology is widely applied to indoor positioning due to the characteristics of strong anti-interference performance, high transmission rate, large system capacity, very small transmission power and the like. However, UWB ultra-wideband technology is susceptible to interference under low signal-to-noise ratio conditions, resulting in reduced positioning accuracy.
Disclosure of Invention
The embodiment of the invention provides a method for acquiring the distance between a base station and a tag under a low signal-to-noise ratio and a related component thereof, aiming at solving the problem that the UWB ultra-wideband technology in the prior art is easily interfered under the condition of low signal-to-noise ratio to cause the reduction of positioning accuracy.
The embodiment of the invention provides a method for acquiring the distance between a base station and a label under the condition of low signal-to-noise ratio, which comprises the following steps:
acquiring a multipath analog signal based on a UWB channel model, and inputting the multipath analog signal to an analog-to-digital converter for discrete processing to obtain a discrete digital signal;
inputting the discrete digital signal into an averaging window function, calculating to obtain a target averaging signal, and inputting the target averaging signal into a first window filter and a second window filter respectively for filtering processing to obtain a first window function signal and a second window function signal;
acquiring the ratio of the maximum value of the second window function signal to the current noise signal of the UWB channel model, and judging whether the ratio is greater than a preset threshold value;
if the ratio is smaller than a preset threshold value, performing convolution operation on the discrete digital signal by using a transfer function to obtain a target signal, inputting the target signal into an average window function again for calculation, inputting a calculation result into the first window filter and the second window filter for filtering processing to obtain a new first window function signal and a new second window function signal until the ratio of the maximum value of the new second window function signal to the current noise signal of the UWB channel model is larger than the preset threshold value;
and acquiring a front edge signal by using the new first window function signal and the second window function signal, and calculating the distance between the positioning base station and the positioning label according to the front edge signal.
The embodiment of the invention also provides a system for acquiring the distance between the base station and the label under the condition of low signal-to-noise ratio, which comprises the following steps:
the discrete digital signal acquisition unit is used for acquiring a multipath analog signal based on a UWB channel model, inputting the multipath analog signal to an analog-to-digital converter for discrete processing, and obtaining a discrete digital signal;
the filtering processing unit is used for inputting the discrete digital signals into an average window function, calculating to obtain target average signals, and respectively inputting the target average signals into a first window filter and a second window filter for filtering processing to obtain first window function signals and second window function signals;
the ratio judging unit is used for acquiring the ratio of the maximum value of the second window function signal to the current noise signal of the UWB channel model and judging whether the ratio is greater than a preset threshold value or not;
a ratio retrieving unit, configured to perform convolution operation on the discrete digital signal by using a transfer function if the ratio is smaller than a preset threshold, to obtain a target signal, re-input the target signal into an average window function for calculation, and input a calculation result into the first window filter and the second window filter for filtering, to obtain a new first window function signal and a new second window function signal, until a ratio of a maximum value of the new second window function signal to a current noise signal of the UWB channel model is greater than a preset threshold;
and the distance acquisition unit is used for acquiring a front edge signal by using the new first window function signal and the second window function signal and calculating the distance between the positioning base station and the positioning label according to the front edge signal.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the method for acquiring the distance between the base station and the tag under the low snr condition as described above.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program implements the method for acquiring the distance between the base station and the tag under the condition of low signal-to-noise ratio as described above.
The embodiment of the invention provides a method for acquiring the distance between a base station and a label under low signal-to-noise ratio and a related component thereof. The method comprises the following steps: acquiring a multipath analog signal based on a UWB channel model, and inputting the multipath analog signal to an analog-to-digital converter for discrete processing to obtain a discrete digital signal; inputting the discrete digital signal into an averaging window function, calculating to obtain a target averaging signal, and inputting the target averaging signal into a first window filter and a second window filter respectively for filtering processing to obtain a first window function signal and a second window function signal; acquiring the ratio of the maximum value of the second window function signal to the current noise signal of the UWB channel model, and judging whether the ratio is greater than a preset threshold value; if the ratio is smaller than a preset threshold value, performing convolution operation on the discrete digital signal by using a transfer function to obtain a target signal, inputting the target signal into an average window function again for calculation, inputting a calculation result into the first window filter and the second window filter for filtering processing to obtain a new first window function signal and a new second window function signal until the ratio of the maximum value of the new second window function signal to the current noise signal of the UWB channel model is larger than the preset threshold value; and acquiring a front edge signal by using the new first window function signal and the second window function signal, and calculating the distance between the positioning base station and the positioning label according to the front edge signal. According to the embodiment of the invention, the more accurate front edge signal is obtained by improving the signal to noise ratio, so that the distance between the positioning base station and the positioning label is more accurately calculated, and the condition that the distance between the positioning base station and the positioning label cannot be accurately calculated in the case of low signal to noise ratio is avoided.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for obtaining a distance between a base station and a tag under a low signal-to-noise ratio condition according to an embodiment of the present invention;
fig. 2 is a response model diagram of a transfer function in the method for obtaining the distance between a base station and a tag under a low signal-to-noise ratio condition according to the embodiment of the present invention;
FIG. 3 is a graph of UWB channel model results using 3 different ADCs versus different SNR (signal-to-noise ratio) under one LOS (visual condition);
FIG. 4 is a schematic diagram of a UWB channel model received signal;
FIG. 5 is a waveform diagram of a multipath analog signal received by the UWB channel model undergoing filtering processing;
FIG. 6 is a waveform diagram of a multi-path analog signal received by a UWB channel model after being convolved with a transfer function and then filtered;
fig. 7 is a schematic block diagram of a system for obtaining a distance between a base station and a tag under a low snr condition according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for obtaining a distance between a base station and a tag under a low snr condition according to an embodiment of the present invention, where the method includes steps S101 to S105.
S101, acquiring a multipath analog signal based on a UWB channel model, and inputting the multipath analog signal to an analog-to-digital converter for discrete processing to obtain a discrete digital signal;
s102, inputting the discrete digital signal into an averaging window function, calculating to obtain a target averaging signal, and inputting the target averaging signal into a first window filter and a second window filter respectively for filtering to obtain a first window function signal and a second window function signal;
s103, acquiring a ratio of the maximum value of the second window function signal to the current noise signal of the UWB channel model, and judging whether the ratio is greater than a preset threshold value;
s104, if the ratio is smaller than a preset threshold value, performing convolution operation on the discrete digital signal by using a transfer function to obtain a target signal, inputting the target signal into an average window function again for calculation, inputting a calculation result into the first window filter and the second window filter for filtering processing to obtain a new first window function signal and a new second window function signal until the ratio of the maximum value of the new second window function signal to the current noise signal of the UWB channel model is larger than the preset threshold value;
and S105, acquiring a front edge signal by using the new first window function signal and the second window function signal, and calculating the distance between the positioning base station and the positioning label according to the front edge signal.
In this embodiment, a multipath analog signal of a current UWB channel model is obtained, then the multipath analog signal is input to an analog-to-digital converter for discrete processing, then a discrete result is input to an average window function for calculation, and the calculation results are input to a first window filter and a second window filter respectively for filtering processing, so as to obtain a first window function signal and a second window function signal, a ratio of a maximum value of the second window function signal to a current noise signal of the UWB channel model is compared with a preset threshold, if the ratio is smaller than the preset threshold, a transfer function is used to perform convolution operation on the discrete digital signal, so as to obtain a target signal, then the target signal is input to the average window function again for calculation, and then the calculation result is input to the first window filter and the second window filter continuously for filtering processing, obtaining a new first window function signal and a new second window function signal, then continuously calculating the ratio of the maximum value of the new second window function to the current noise signal of the UWB channel model, judging whether the ratio is greater than a preset threshold, if the ratio is still less than the preset threshold, continuously performing convolution operation on the target signal by using a transfer function until the ratio of the maximum value in the filtering result (namely the second window function signal) of the second window filter to the current noise signal of the UWB channel model is greater than the preset threshold, then obtaining a front edge signal by using the new first window function signal and the second window function signal, and calculating the distance between the positioning base station and the positioning label through the front edge signal.
The expression of the multipath analog signal is as follows:
wherein a isk,lIs the click weight, T, of the kth component in the 1 st clusterlIs the delay of the 1 st cluster, τk,lIs the k MPC relative to the 1 st cluster arrival time TlThe delay of (2). The method comprises the following steps:
is uniformly distributed, i.e. for a band-pass system the phase ranges from 2 pi as a uniformly distributed random variable.
When the signal-to-noise ratio is judged to be smaller than a preset threshold value, performing convolution operation on the discrete digital signal by using a transfer function, namely:
wherein r isSNRFor signal-to-noise ratio, alpha is a preset threshold, h [ t ]]For discrete digital signals, g [ t ]]Is a transfer function, a symbol
This is represented as a convolution operation. g [ t ]]The response model of (2) is shown in fig. 2.
In a specific embodiment, a multipath analog signal based on a UWB channel model is acquired, and the multipath analog signal is input to an analog-to-digital converter with a conversion rate of 105 and an accuracy of 10 bits for sampling, so as to obtain a discrete digital signal. In the embodiment, the acquired multipath analog signal h (t) is analog-to-digital converted by an analog-to-digital converter with a conversion rate of 105 and an accuracy of 10 bits, so that the multipath analog signal h (t) is converted into a discrete digital signal h [ t ]. The analog-to-digital converter is a converter that converts an analog quantity subjected to comparison processing with a standard quantity into a discrete signal represented by a binary number. After the discrete digital signal h [ t ] is obtained, inputting the discrete digital signal h [ t ] into an average window function, and calculating by the following formula to obtain a target average signal: where 16 is the length of the averaging window function, h [ t ] is the discrete digital signal, avewindow (x, n) refers to an averaging function of length n, taking x, and abs refers to the absolute value.
In a specific embodiment, the inputting the target average signal into a first window filter and a second window filter respectively for filtering to obtain a first window function signal and a second window function signal includes:
inputting the target average signal into a first window filter with the length of 16 for filtering processing, and outputting to obtain a first window function signal;
and inputting the target average signal into a second window filter with the length of 272 for filtering processing, and outputting to obtain a second window function signal.
In this embodiment, the target averaging function y [ t ]]The signals are respectively input into window filters with the lengths of 16 and 272 for filtering processing to obtain a first window function signal and a second window function signal. Averaging the target average function y [ t ]]Inputting the data into a first window filter with the length of 16, thereby obtaining the first window function max _ n1[t]Said first window function max _ n1[t]The calculation formula of (2) is as follows: max _ n1[t]＝maxwindow(y[t],n1) (ii) a Averaging the target average function y [ t ]]Inputting the data into a second window filter with the length of 272, thereby obtaining the second window function max _ n2[t]Said second window function max _ n2[t]The calculation formula of (2) is as follows: max _ n2[t]＝maxwindow(y[t],n2) (ii) a Wherein, maxwindow (x)N) represents a function that returns a maximum value from a given window of size n. Compared with single-window detection, the filtering effect is better by adopting double-window detection.
In one embodiment, the acquiring the leading edge signal by using the new first window function signal and the new second window function signal includes:
calculating a pulse signal by using the first window function signal and the second window function signal, and judging whether the ratio of the first window function signal to a preset threshold value is greater than the second window function signal and whether the second window function signal is greater than an estimated noise value;
and if the ratio of the first window function signal to a preset threshold value is greater than the second window function signal and the second window function signal is greater than an estimated noise value, taking the pulse signal as a leading edge signal.
In this embodiment, the formula for determining whether the dual window detection detects the pulse signal is as follows: r [ t ]]＝max_n1[t]*α>max_n2[t]&&max_n2[t]>thresh, where α is a predetermined threshold, thresh is the estimated noise value, when r [ t ]]When the formula is satisfied, the signal detected by the double-window function is a pulse signal, and the pulse signal is taken as a front edge signal. The calculation process of the estimated noise value is as follows: thresh ═ nnoise+tswitchWherein n isnoiseIs the current noise value, tswitchIs a noise threshold value with a magnitude of 2n，n＝0,1,2,...,8。
As shown in fig. 3, fig. 3 is a result of the ieee802.15.4 a-based UWB channel model comparing different SNRs (signal-to-noise ratios) under one LOS (visual condition) using 3 different ADCs, where the preset threshold α is 2. It can be seen from the figure that when the signal-to-noise ratio is lower than 6dB, the distance error between the positioning base station and the positioning tag is too large, and therefore the signal-to-noise ratio needs to be increased first to obtain stable data. The signal-to-noise ratio of the UWB channel model can be obtained by comparing the standard deviation of the voltage value of the UWB pulse signal to the noise of the voltage of the pulse signal, that is:
this equation can be approximated as:
wherein max _ n2_ pulse [ t [ ]]Is the maximum value of the second window function signal, nnoiseIs the current noise value.
Referring to fig. 4, fig. 4 is a schematic diagram of a UWB channel model received signal, with the receiving and transmitting devices set at a distance of 3 meters and the signal following a standard LOS channel. As shown in fig. 4, the signal-to-noise ratio is now-2.61 dB. The waveform diagram obtained by filtering the multipath analog signal received by the UWB channel model is shown in fig. 5, and since the signal-to-noise ratio is smaller than the preset threshold, the detected leading edge signal is substantially a noise signal, but not a true leading edge signal. At this time, the discrete digital signal converted from the multipath analog signal is convolved by the transfer function and is filtered again, and a new snr of 4.11dB is calculated as a new waveform as shown in fig. 6. Therefore, the signal-to-noise ratio is effectively improved, and the acquired front edge signal is more accurate.
The embodiment of the present invention further provides a system 200 for obtaining a distance between a base station and a tag under a low signal-to-noise ratio condition, including:
a discrete digital signal obtaining unit 201, configured to obtain a multipath analog signal based on a UWB channel model, and input the multipath analog signal to an analog-to-digital converter for discrete processing to obtain a discrete digital signal;
a filtering processing unit 202, configured to input the discrete digital signal into an averaging window function, calculate to obtain a target average signal, and input the target average signal into a first window filter and a second window filter respectively for filtering processing to obtain a first window function signal and a second window function signal;
a ratio determining unit 203, configured to obtain a ratio between a maximum value of the second window function signal and a current noise signal of the UWB channel model, and determine whether the ratio is greater than a preset threshold;
a ratio retrieving unit 204, configured to, if the ratio is smaller than a preset threshold, perform convolution operation on the discrete digital signal by using a transfer function to obtain a target signal, re-input the target signal into an average window function for calculation, and input a calculation result into the first window filter and the second window filter for filtering to obtain a new first window function signal and a new second window function signal until a ratio of a maximum value of the new second window function signal to a current noise signal of the UWB channel model is greater than a preset threshold;
a distance obtaining unit 205, configured to obtain a leading edge signal by using the new first window function signal and the second window function signal, and calculate a distance between the positioning base station and the positioning tag according to the leading edge signal.
In an embodiment, the distance obtaining unit 205 includes:
a pulse signal calculation unit, configured to calculate a pulse signal using the first window function signal and the second window function signal, and determine whether a ratio of the first window function signal to a preset threshold is greater than the second window function signal, and whether the second window function signal is greater than an estimated noise value;
and the leading edge signal acquisition unit is used for taking the pulse signal as a leading edge signal if the ratio of the first window function signal to a preset threshold value is greater than the second window function signal and the second window function signal is greater than an estimated noise value.
In one embodiment, the pulse signal calculation unit includes:
an estimated noise value calculation unit for calculating the estimated noise value as follows:
thresh＝nnoise+tswitch
wherein n isnoiseIs the current noise value, tswitchIs a noise threshold value with a magnitude of 2n，n＝0,1,2,...,8。
In one embodiment, the discrete digital signal acquisition unit 201 includes:
and the analog-to-digital converter conversion unit is used for acquiring a multipath analog signal based on a UWB channel model, inputting the multipath analog signal into an analog-to-digital converter with the conversion rate of 105 and the precision of 10 bits for sampling, and obtaining a discrete digital signal.
In an embodiment, the filtering processing unit 202 includes:
a target average signal calculation unit for calculating a target average signal by the following formula:
y[t]＝avewindow(abs(h[t]),16)
where 16 is the length of the averaging window function, h [ t ] is the discrete digital signal, avewindow (x, n) refers to an averaging function of length n, taking x, and abs refers to the absolute value.
In one embodiment, the filtering processing unit 202 includes:
the first window filtering unit is used for inputting the target average signal into a first window filter with the length of 16 for filtering processing, and outputting to obtain a first window function signal;
and the second window filtering unit is used for inputting the target average signal into a second window filter with the length of 272 for filtering processing, and outputting to obtain a second window function signal.
The embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the method for obtaining the distance between the base station and the tag under the condition of low signal-to-noise ratio as described above.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for obtaining the distance between the base station and the tag under the condition of low signal-to-noise ratio is implemented.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for obtaining the distance between a base station and a tag under the condition of low signal-to-noise ratio is characterized by comprising the following steps:
acquiring a multipath analog signal based on a UWB channel model, and inputting the multipath analog signal to an analog-to-digital converter for discrete processing to obtain a discrete digital signal;
inputting the discrete digital signal into an averaging window function, calculating to obtain a target averaging signal, and inputting the target averaging signal into a first window filter and a second window filter respectively for filtering processing to obtain a first window function signal and a second window function signal;
acquiring the ratio of the maximum value of the second window function signal to the current noise signal of the UWB channel model, and judging whether the ratio is greater than a preset threshold value;
if the ratio is smaller than a preset threshold value, performing convolution operation on the discrete digital signal by using a transfer function to obtain a target signal, inputting the target signal into an average window function again for calculation, inputting a calculation result into the first window filter and the second window filter for filtering processing to obtain a new first window function signal and a new second window function signal until the ratio of the maximum value of the new second window function signal to the current noise signal of the UWB channel model is larger than the preset threshold value;
and acquiring a front edge signal by using the new first window function signal and the second window function signal, and calculating the distance between the positioning base station and the positioning label according to the front edge signal.
2. The method of claim 1, wherein the obtaining the leading edge signal using the new first window function signal and the second window function signal comprises:
calculating a pulse signal by using the first window function signal and the second window function signal, and judging whether the ratio of the first window function signal to a preset threshold value is greater than the second window function signal and whether the second window function signal is greater than an estimated noise value;
and if the ratio of the first window function signal to a preset threshold value is greater than the second window function signal and the second window function signal is greater than an estimated noise value, taking the pulse signal as a leading edge signal.
3. The method of claim 2, wherein the estimated noise value is calculated as follows:
thresh＝nnoise+tswitch
wherein n isnoiseIs the current noise value, tswitchIs a noise threshold value with a magnitude of 2n，n＝0,1,2,...,8。
4. The method of claim 1, wherein the obtaining of the distance between the base station and the tag under the low snr condition is performed by obtaining a multi-path analog signal based on the UWB channel model, and performing a discrete processing on the multi-path analog signal by an analog-to-digital converter to obtain a discrete digital signal, and the method comprises:
acquiring a multipath analog signal based on a UWB channel model, inputting the multipath analog signal into an analog-to-digital converter with the conversion rate of 105 and the precision of 10 bits for sampling, and obtaining a discrete digital signal.
5. The method of claim 1, wherein the inputting the discrete digital signal into an averaging window function to calculate a target average signal comprises:
the target average signal is calculated by the following formula:
y[t]＝avewindow(abs(h[t]),16)
where 16 is the length of the averaging window function, h [ t ] is the discrete digital signal, avewindow (x, n) refers to an averaging function of length n, taking x, and abs refers to the absolute value.
6. The method of claim 1, wherein the step of inputting the target average signal into a first window filter and a second window filter for filtering to obtain a first window function signal and a second window function signal comprises:
inputting the target average signal into a first window filter with the length of 16 for filtering processing, and outputting to obtain a first window function signal;
and inputting the target average signal into a second window filter with the length of 272 for filtering processing, and outputting to obtain a second window function signal.
7. A system for obtaining a distance between a base station and a tag under low signal-to-noise ratio conditions, comprising:
the discrete digital signal acquisition unit is used for acquiring a multipath analog signal based on a UWB channel model, inputting the multipath analog signal to an analog-to-digital converter for discrete processing, and obtaining a discrete digital signal;
the filtering processing unit is used for inputting the discrete digital signals into an average window function, calculating to obtain target average signals, and respectively inputting the target average signals into a first window filter and a second window filter for filtering processing to obtain first window function signals and second window function signals;
the ratio judging unit is used for acquiring the ratio of the maximum value of the second window function signal to the current noise signal of the UWB channel model and judging whether the ratio is greater than a preset threshold value or not;
a ratio retrieving unit, configured to perform convolution operation on the discrete digital signal by using a transfer function if the ratio is smaller than a preset threshold, to obtain a target signal, re-input the target signal into an average window function for calculation, and input a calculation result into the first window filter and the second window filter for filtering, to obtain a new first window function signal and a new second window function signal, until a ratio of a maximum value of the new second window function signal to a current noise signal of the UWB channel model is greater than a preset threshold;
and the distance acquisition unit is used for acquiring a front edge signal by using the new first window function signal and the second window function signal and calculating the distance between the positioning base station and the positioning label according to the front edge signal.
8. The system for obtaining the distance between the base station and the tag under the condition of low signal-to-noise ratio as claimed in claim 7, wherein the distance obtaining unit comprises:
a pulse signal calculation unit, configured to calculate a pulse signal using the first window function signal and the second window function signal, and determine whether a ratio of the first window function signal to a preset threshold is greater than the second window function signal, and whether the second window function signal is greater than an estimated noise value;
and the leading edge signal calculation unit is used for taking the pulse signal as a leading edge signal if the ratio of the first window function signal to a preset threshold value is greater than the second window function signal and the second window function signal is greater than an estimated noise value.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the method of acquiring the distance between a base station and a tag under low signal-to-noise ratio conditions as claimed in any one of claims 1 to 6.
10. A computer-readable storage medium, having a computer program stored thereon, which, when being executed by a processor, implements the method for obtaining the distance between a base station and a tag under low signal-to-noise ratio conditions as claimed in any one of claims 1 to 6.
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