CN117119584A - Positioning method based on communication positioning integration and related equipment - Google Patents

Positioning method based on communication positioning integration and related equipment Download PDF

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Publication number
CN117119584A
CN117119584A CN202310861778.0A CN202310861778A CN117119584A CN 117119584 A CN117119584 A CN 117119584A CN 202310861778 A CN202310861778 A CN 202310861778A CN 117119584 A CN117119584 A CN 117119584A
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signal
positioning
communication
noise ratio
composite
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李美玲
张得路
朱云灿
贾宏云
路兆铭
张凯敏
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Taiyuan University of Science and Technology
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Taiyuan University of Science and Technology
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
    • H04L1/203—Details of error rate determination, e.g. BER, FER or WER

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application provides a positioning method based on communication positioning integration and related equipment, wherein the method comprises the steps of receiving a composite signal sent by a base station and reflected by signal reflection equipment, wherein the composite signal comprises a communication signal and a positioning signal; analyzing the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal; determining an error rate of the communication module based on the first signal-to-noise ratio, and determining a code phase error of the positioning module based on the second signal-to-noise ratio; and positioning the receiving end based on the positioning signal in response to determining that the error rate and the code phase error meet preset conditions, so that the technical problem that the positioning of the receiving end is inaccurate in the prior art is solved, and the purpose of accurately positioning the receiving end is achieved.

Description

Positioning method based on communication positioning integration and related equipment
Technical Field
The application relates to the technical field of communication, in particular to a positioning method based on communication positioning integration and related equipment.
Background
At present, the sixth generation mobile communication system is in a development stage, and the communication perception integrated technology has become an important research direction of the sixth generation mobile communication system. In the communication positioning integrated system, when a receiving end is shielded by an obstacle, a positioning signal in the communication positioning integrated system contacts a reflecting plane such as a building, and firstly, reflection occurs on the surface of the building so that the signal intensity is weakened; second, reflection on the building surface changes the positioning measurement path of the signal, that is, the geometric distance corresponding to the positioning measurement value originally represents the linear distance between the base station and the receiving end, and the geometric distance becomes two straight-line segment distances from the base station to the obstacle and from the obstacle to the receiving end. And external interference exists in the transmission process of the composite signal in the communication and positioning integrated system. The above effects and the above interference cause errors in positioning the receiving end based on the positioning signal, which may cause inaccurate positioning of the receiving end.
Disclosure of Invention
In view of the above, the present application aims to provide a positioning method and related equipment based on communication positioning integration, so as to overcome all or part of the defects in the prior art.
Based on the above object, the present application provides a positioning method based on communication positioning integration, which is applied to a receiving end in a communication positioning integration system, the communication positioning integration system further includes a signal reflection device and a base station, the receiving end includes a communication module and a positioning module, the signal reflection device is respectively connected with the receiving end and the base station in a communication manner, the method includes: receiving a composite signal transmitted by the base station and reflected by the signal reflection equipment, wherein the composite signal comprises a communication signal and a positioning signal; analyzing the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal; determining an error rate of the communication module based on the first signal-to-noise ratio, and determining a code phase error of the positioning module based on the second signal-to-noise ratio; and positioning the receiving end based on the positioning signal in response to determining that the error rate and the code phase error meet preset conditions.
Optionally, the parsing the composite signal to obtain a first signal-to-noise ratio of the communication signal includes: analyzing the composite signal by the following formula to obtain the first signal-to-noise ratio:wherein, gamma c For the first signal-to-noise ratio, β is the amplitude reflection coefficient, g in For the channel coefficient vector from the ith reflecting unit of the signal reflecting device to the receiving end, phi is the reflection coefficient matrix of the signal reflecting device, h bi A is a channel coefficient vector of the base station to the ith reflection unit of the signal reflection device c A, allocating coefficients for the power of the communication signal, a p A, allocating coefficients for the power of the positioning signals, a c ＞a p ，P s For the transmitting power of the base station, A is the channel gain expression, N 0 Is additive white Gaussian noise, I p Is the interference strength to the communication signal.
Optionally, the analyzing the composite signal to obtain a second signal-to-noise ratio of the positioning signal includes: analyzing the composite signal by the following formula to obtain the second signal-to-noise ratio:wherein, gamma p For the second signal-to-noise ratio, β is the amplitude reflection coefficient, A is the channel gain expression, a p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p ，P s For the transmitting power of the base station, N 0 Is additive white gaussian noise.
Optionally, determining the error rate of the communication module based on the first signal-to-noise ratio includes:wherein BER is the bit error rate, gamma c For the first signal-to-noise ratio, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, η j The j th degree weight of the Laguerre polynomial of the j th degree, y j The value of the j-th order corresponding function of the j-order Laguerre polynomial, beta is the amplitude reflection coefficient, P s For the transmitting power of the base station, N 0 Is additive white Gaussian noise, I p A for interference strength to the communication signal p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p The method comprises the steps of carrying out a first treatment on the surface of the Determining a code phase error of the positioning module based on the second signal-to-noise ratio, comprising: />Wherein (1)>For the code phase error, a 1 Is the correlation value of the loop parameter, T p For the symbol period of the positioning signal, gamma cp For the signal quality ratio of the communication module to the positioning module, gamma p For the second signal-to-noise ratio, B fe The bandwidth of the front end of the radio frequency is B is the total bandwidth, beta is the amplitude reflection coefficient, a c A, allocating coefficients for the power of the communication signal, a p A, allocating coefficients for the power of the positioning signals, a c ＞a p ，P s For the transmitting power of the base station, N 0 For additive white gaussian noise, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, ω j To be the jth weight of the Laguerre polynomial of the j th order, x j And m is the Laguerre approximate range, which is the j th order corresponding function of the Laguerre polynomial of the j th order.
Optionally, the bit error rate and the code phase error meet preset conditions, including: and the error rate is smaller than or equal to a preset error rate and the code phase error is smaller than or equal to a preset code phase error, and the error rate and the code phase error are determined to meet the preset condition.
The application provides a positioning method based on communication positioning integration, which is applied to a base station in a communication positioning integration system, wherein the communication positioning integration system also comprises a signal reflection device and a receiving end, the receiving end comprises a communication module and a positioning module, the signal reflection device is respectively in communication connection with the receiving end and the base station, and the method comprises the following steps: receiving a communication signal and generating a positioning signal corresponding to the communication signal; forming the communication signal and the positioning signal into a composite signal; and transmitting the composite signal to the signal reflection equipment so that the signal reflection equipment forwards the composite signal to the receiving end.
Optionally, the combining the communication signal and the positioning signal into a composite signal includes: the communication signal and the positioning signal are formed into the composite signal by the following formula:wherein z is the complex signal, a c A is the power distribution coefficient of the communication signal, a is the power distribution coefficient of the positioning signal c ＞a p ，P s X is the transmission power of the base station c X is the information of the communication signal p Is the composite information of the positioning signal.
Based on the same inventive concept, the application also provides a positioning device based on communication positioning integration, which is applied to a receiving end in a communication positioning integration system, wherein the communication positioning integration system also comprises a signal reflection device and a base station, the receiving end comprises a communication module and a positioning module, the signal reflection device is respectively in communication connection with the receiving end and the base station, and the device comprises: a receiving module configured to receive a composite signal transmitted by the base station reflected by the signal reflection apparatus, wherein the composite signal includes a communication signal and a positioning signal; the analysis module is configured to analyze the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal; a determining module configured to determine a bit error rate of the communication module based on the first signal-to-noise ratio and to determine a code phase error of the positioning module based on the second signal-to-noise ratio; and the positioning module is configured to respond to the determination that the error rate and the code phase error meet preset conditions and position the receiving end based on the positioning signal.
Based on the same inventive concept, the application also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable by the processor, the processor implementing the method as described above when executing the computer program.
Based on the same inventive concept, the present application also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method as described above.
As can be seen from the above description, the positioning method and the related device based on communication positioning integration provided by the application, the method comprises the steps of receiving a composite signal sent by the base station and reflected by the signal reflection device, wherein the composite signal comprises a communication signal and a positioning signal. And analyzing the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal, and facilitating subsequent determination of the quality of the communication signal and the positioning signal through the first signal-to-noise ratio and the second signal-to-noise ratio. Based on the first signal-to-noise ratio, determining the error rate of the communication module, and based on the second signal-to-noise ratio, determining the code phase error of the positioning module, and verifying the reliability of the received composite signal by determining the error rate and the code phase error, thereby being beneficial to the subsequent accurate positioning of the receiving end by utilizing the reliable composite signal. And positioning the receiving end based on the positioning signal in response to determining that the error rate and the code phase error meet preset conditions, so that the purpose of accurately positioning the receiving end is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the present application or related art, the drawings that are required to be used in the description of the embodiments or related art will be briefly described below, and it is apparent that the drawings in the following description are only embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort to those of ordinary skill in the art.
Fig. 1 is a flow chart of a positioning method based on communication positioning integration according to an embodiment of the application;
fig. 2 is a first experimental comparison chart of a positioning method based on communication positioning integration according to an embodiment of the application;
FIG. 3 is a second experimental comparison chart of a positioning method based on communication positioning integration according to an embodiment of the application;
fig. 4 is a third experimental comparison chart of a positioning method based on communication positioning integration according to an embodiment of the present application;
fig. 5 is a fourth experimental comparison chart of a positioning method based on communication positioning integration according to an embodiment of the present application;
FIG. 6 is a flowchart of a positioning method based on communication positioning integration according to another embodiment of the application;
FIG. 7 is a schematic structural diagram of a positioning device based on communication positioning integration according to an embodiment of the application;
FIG. 8 is a schematic structural diagram of a positioning device based on communication positioning integration according to another embodiment of the application;
fig. 9 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the application.
Detailed Description
The present application will be further described in detail below with reference to specific embodiments and with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present application more apparent.
It should be noted that unless otherwise defined, technical or scientific terms used in the embodiments of the present application should be given the ordinary meaning as understood by one of ordinary skill in the art to which the present application belongs. The terms "first," "second," and the like, as used in embodiments of the present application, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
As described in the background section, at the present stage, new radios of the fifth generation mobile communication system have been deployed and commercialized, and the sixth generation mobile communication system is in the development stage, and the communication awareness integration technology has become an important research direction of the sixth generation mobile communication system. The communication and sensing integrated means that two functions of communication and sensing are integrated together, so that a future communication system has two functions of communication and sensing simultaneously, and physical characteristics of surrounding environments are sensed by actively recognizing and analyzing characteristics of a channel while information is transmitted by a wireless channel, so that the communication and sensing functions are mutually enhanced. In the communication positioning integrated system, when a receiving end is shielded by an obstacle, the positioning signal can have the following influence when contacting the obstacle such as a building, firstly, reflection occurs on the surface of the building so that the signal intensity is weakened; second, reflection on the building surface changes the positioning measurement path of the signal, that is, the geometric distance corresponding to the positioning measurement value originally represents the linear distance between the base station and the receiving end, and the geometric distance becomes two straight-line segment distances from the base station to the obstacle and from the obstacle to the receiving end. And external interference exists in the transmission process of the composite signal in the communication and positioning integrated system. The above effects and the above interference cause errors in positioning the receiving end based on the positioning signal, which may cause inaccurate positioning of the receiving end.
In view of this, an embodiment of the present application proposes a positioning method based on communication positioning integration, which is applied to a receiving end in a communication positioning integration system, where the communication positioning integration system further includes a signal reflection device and a base station, the receiving end includes a communication module and a positioning module, the signal reflection device is respectively connected with the receiving end and the base station in a communication manner, and referring to fig. 1, the method includes the following steps:
and step 101, receiving a composite signal sent by the base station and reflected by the signal reflection equipment, wherein the composite signal comprises a communication signal and a positioning signal.
In this step, the composite signal includes a communication signal and a positioning signal, and has both functions of communication and positioning. Because the receiving end is usually expected to acquire the most accurate positioning value when being positioned, but under the condition that the receiving end is blocked by an obstacle, the base station cannot directly transmit the composite signal to the receiving end, and the receiving end can only receive the composite signal reflected by the obstacle, but the positioning is not accurate by utilizing the composite signal reflected by the obstacle, so that the positioning measured value deviates, and errors are generated. To eliminate the above effects, a signal reflecting device is introduced between the base station and the receiving end, which may be an RIS (Intelligent reflecting surface, smart reflecting surface) reflecting device. The RIS is a passive software-controlled metamaterial surface consisting of a number of smart reflective facets, and the RIS reflective device consists of a plurality of reflective elements, each of which can absorb energy and/or change the phase of an incident signal independently. By properly adjusting the reflection angle and/or amplitude coefficient of the RIS reflecting device, the composite signal can be reconfigured for wireless transmission. In addition, RIS reflective devices are low in configuration complexity and are easy to deploy in outdoor or indoor spaces. And after the signal reflection equipment reconfigures the composite signal into wireless transmission, the signal transmission equipment is utilized to transmit the composite signal to the receiving end, so that errors of positioning measurement values caused by obstruction of obstacles are eliminated.
It should be noted that, the composite signal is composed of a communication signal and a positioning signal, so that the user often only has a communication requirement to generate the communication signal, but the positioning of the receiving end is of practical significance, which is exemplary and beneficial to the development of indoor navigation service. Thus, a positioning signal can be generated by the base station based on the received communication signal. In order not to influence the positioning signal on the relatively important communication signal, the allocation power of the positioning signal is less than the allocation power of the communication signal when the power allocation is performed on the signals at the beginning of the combination of the communication signal and the positioning signal by the base station. The power of the communication signals and the positioning signals may be allocated using NOMA (Non-orthogonal multiple accesstechnology, non-orthogonal multiple access) techniques. The basic idea of NOMA is to use non-orthogonal transmission, i.e. to allocate different frequencies to the composite signal, and then to transmit the composite signal, and actively introduce interference information, and to implement correct analysis of the composite signal at the receiving end by means of a Serial Interference Cancellation (SIC) receiver.
And 102, analyzing the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal.
In this step, a SIGNAL-to-NOISE RATIO (SNR), which is a RATIO of SIGNAL power to background NOISE power, is usually affected by NOISE, and is an index describing the relationship between the composite SIGNAL and NOISE. The magnitude of the signal-to-noise ratio directly influences the accuracy and stability of the communication signal and the positioning signal, and the larger the signal-to-noise ratio is, the stronger the noise suppression capability of the composite signal is. Thus, the composite signal needs to be parsed to determine a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal, respectively. The quality of the communication signal and the positioning signal is conveniently determined subsequently through the first signal-to-noise ratio and the second signal-to-noise ratio. In determining the signal-to-noise ratio of the positioning signal, the communication signal may be regarded as noise with respect to the positioning signal, or the communication signal may not be regarded as noise with respect to the positioning signal, and the above may be selected according to the actual scenario.
Step 103, determining an error rate of the communication module based on the first signal-to-noise ratio, and determining a code phase error of the positioning module based on the second signal-to-noise ratio.
In this step, since the sampling frequency of the receiving end is not synchronous with the frequency of the positioning signal, when the signal is periodically sampled, the phase of the positioning signal is discontinuous at the starting end and the terminal end, so that the positioning signal generates spectrum leakage, and further, the communication signal is interfered, thereby affecting the communication performance. Based on the first signal-to-noise ratio, the reliability of the communication performance of the communication module is measured through an error rate, wherein the error rate is an index for measuring the accuracy of data transmission of the communication signal in a specified time. On the other hand, the interference of the communication signal on the positioning signal is measured by the code phase error in consideration of the interference of the communication signal on the positioning signal, so that the performance measurement of the positioning signal is obtained. And measuring the positioning performance reliability of the positioning module through a code phase error based on the second signal-to-noise ratio, wherein the code phase error is a phase difference frequency error between the positioning signal and the ideal positioning signal in a preset time interval. The reliability of the received composite signal can be verified by determining the error rate and the code phase error, and the reliable composite signal is utilized to facilitate the accurate positioning of the receiving end.
And step 104, positioning the receiving end based on the positioning signal in response to determining that the error rate and the code phase error meet preset conditions.
In the step, the error rate and the code phase error meet preset conditions, which indicate that the communication is reliable, and the communication signal and the positioning signal are less affected by the outside and have higher quality. Therefore, when the positioning signal is used for positioning the receiving end, the positioning of the receiving end is accurate, and the purpose of accurately positioning the receiving end is achieved.
By the scheme, the composite signal sent by the base station and reflected by the signal reflection equipment is received, wherein the composite signal comprises a communication signal and a positioning signal. And analyzing the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal, and facilitating subsequent determination of the quality of the communication signal and the positioning signal through the first signal-to-noise ratio and the second signal-to-noise ratio. Based on the first signal-to-noise ratio, determining the error rate of the communication module, and based on the second signal-to-noise ratio, determining the code phase error of the positioning module, and verifying the reliability of the received composite signal by determining the error rate and the code phase error, thereby being beneficial to the subsequent accurate positioning of the receiving end by utilizing the reliable composite signal. And positioning the receiving end based on the positioning signal in response to determining that the error rate and the code phase error meet preset conditions, so that the purpose of accurately positioning the receiving end is achieved.
In some embodiments, the parsing the composite signal to obtain a first signal-to-noise ratio of the communication signal includes: analyzing the composite signal by the following formula to obtain the first signal-to-noise ratio:wherein, gamma c For the first signal-to-noise ratio, β is the amplitude reflection coefficient, g in For the channel coefficient vector from the ith reflecting unit of the signal reflecting device to the receiving end, phi is the reflection coefficient matrix of the signal reflecting device, h bi A is a channel coefficient vector of the base station to the ith reflection unit of the signal reflection device c A, allocating coefficients for the power of the communication signal, a p A, allocating coefficients for the power of the positioning signals, a c ＞a p ，P s For the transmitting power of the base station, A is the channel gain expression, N 0 Is additive white Gaussian noise, I p Is the interference strength to the communication signal.
In this embodiment, the receiving end u receives the composite signal reflected by the signal reflection device within a predetermined time, and the received composite signal is affected by external factors during the transmission process, so the expression of the composite signal received by the receiving end u can be expressed by the following formula:
wherein n is s ～(0,N 0 ) In the case of additive white gaussian noise, For the reflection coefficient matrix of the signal reflection device, beta epsilon [0,1 ]]Is the amplitude reflection coefficient phi i I= (1, 2,., N) is the phase shift of the i-th reflecting element of the signal reflecting device, N is the number of reflecting elements in the signal reflecting device, h bi ＝[h 1 ,h 2 ...h N ] T G is the channel coefficient vector of the base station to the ith reflecting unit of the signal reflecting device in ＝[g 1 ,g 2 ...g N ] T And the channel coefficient vector from the ith reflecting unit of the signal reflecting device to the receiving end is obtained.
With I p Representing the intensity of interference to the communication signal due to spectral leakage of the positioning signal, when the positioning signal is much weaker than the ambient noise, the interference to the communication signal is negligible. However, when the positioning signal is strong, the influence degree of the positioning signal on the communication signal needs to be considered. Defining B as total bandwidth, in order to meet the requirement of positioning distance measurement accuracy, the bandwidth of the positioning signal should be as large as possible, and Δf is used p Representing carrier spacing sum Δf of positioning signals c Representing the carrier spacing of the communication signal, the subcarrier spacing relationship is Δf p ＝GΔf c G represents that the subcarrier spacing of the positioning module is a multiple of the subcarrier spacing of the communication module, G E N + ，N + Representing a positive integer. When T is used p Representing the symbol period of the positioning signal, G p (f) Representing the normalized power spectral density of the positioning module, then for a single positioning module, the interference strength of the positioning signal on the communication signal can be represented by:
communication module u by NOMA technology c The weak user signal x is used as strong user by adopting a serial interference cancellation technology SIC p Decoding is performed first, then the own signal x is decoded c Considering the ideal SIC condition, combining the composite signal expression and the interference intensity calculation formula, and the communication module u c Decoding self signal x c The maximum achievable instantaneous signal-to-noise ratio can be expressed by:
the maximum instantaneous signal-to-noise ratio is the first signal-to-noise ratio. The influence of various external factors on the composite signal in the transmission process is comprehensively considered, and the first signal-to-noise ratio of the communication signal is calculated by considering the influence, so that the calculated first signal-to-noise ratio is more accurate.
In some embodiments, the parsing the composite signal to obtain a second signal-to-noise ratio of the positioning signal includes: analyzing the composite signal by the following formula to obtain the second signal-to-noise ratio:wherein, gamma p For the second signal-to-noise ratio, β is the amplitude reflection coefficient, A is the channel gain expression, a p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p ，P s For the transmitting power of the base station, N 0 Is additive white gaussian noise.
In this embodiment, due to the application of NOMA technology, the communication signal and the positioning signal are transmitted in a superimposed manner, and thus, it can be regarded that the communication signal interferes with the positioning signal. According to the SIC principle of NOMA, when the positioning module receiver decodes the signal xp, the communication signal xc is regarded as an interference signal, and the second signal-to-noise ratio that can be obtained can be expressed by the following formula:
the influence of various external factors on the composite signal in the transmission process is comprehensively considered, and the second signal-to-noise ratio of the positioning signal is calculated by considering the influence, so that the calculated second signal-to-noise ratio is more accurate.
In some embodiments, determining the error rate of the communication module based on the first signal-to-noise ratio comprises:wherein BER is the bit error rate, gamma c For the first signal-to-noise ratio, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, η j The j th degree weight of the Laguerre polynomial of the j th degree, y j The value of the j-th order corresponding function of the j-order Laguerre polynomial, beta is the amplitude reflection coefficient, P s For the transmitting power of the base station, N 0 Is additive white Gaussian noise, I p A for interference strength to the communication signal p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p The method comprises the steps of carrying out a first treatment on the surface of the Determining a code phase error of the positioning module based on the second signal-to-noise ratio, comprising: />Wherein (1)>For the code phase error, a 1 Is the correlation value of the loop parameter, T p For the symbol period of the positioning signal, gamma cp For the signal quality ratio of the communication module to the positioning module, gamma p For the second signal-to-noise ratio, B fe The bandwidth of the front end of the radio frequency is B is the total bandwidth, beta is the amplitude reflection coefficient, a c A, allocating coefficients for the power of the communication signal, a p A, allocating coefficients for the power of the positioning signals, a c ＞a p ，P s For the transmitting power of the base station, N 0 For additive white gaussian noise, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, ω j To be the jth weight of the Laguerre polynomial of the j th order, x j And m is the Laguerre approximate range, which is the j th order corresponding function of the Laguerre polynomial of the j th order.
In this embodiment, considering that the system adopts BPSK (Binary Phase Shift Keying ) modulation, the error rate of the communication module can be expressed by the following formula:
Where erfc represents the complementary error function. For formula (5), γ c Randomly varies with the variation of the wireless channel. Consider that the base station follows rayleigh fading in view of the ith reflection unit of the signal reflecting device and the channel of the ith reflection unit to the receiving end u, namely: h is a i And g i All are rayleigh fading channels, and when the signal reflection device adopts optimal continuous phase shift, the channel gain can be maximized. The channel gain expression may be represented by:
meanwhile, the optimal continuous phase shift is adopted by the signal reflection equipment, and the calculated phase shift can be expressed by the following formula:
obtaining A 2 The probability density function of (2) can be expressed by the following formula:
wherein,sigma is the rayleigh Li Cuila coefficient. Substituting formula (8) into formula (5), and obtaining the statistical average error rate of the communication module through a series of simplification, wherein the statistical average error rate can be represented by the following formula:
by taking advantage of the nature of the complementary error function, wherein the complementary error function isThe statistical average bit error rate of the communication module can be further simplified, and the simplified statistical average bit error rate can be represented by the following formula:
further simplifying the formula (10), the simplified formula (10) can be represented by the following formula:
since it is difficult to derive an accurate closed-loop expression, the present embodiment employs a gaussian-laguerre quadrature method for accurately approximating the integral in the formula (11), wherein the gaussian-laguerre quadrature method can be expressed by the following formula:
The final result can be represented by the following formula:
the bit error rate performance gradually decreases as the first signal-to-noise ratio increases, because the more significant the first signal-to-noise ratio, the better the quality of the communication signal and the lower the bit error rate. The reliability of the received composite signal can be verified by determining the error rate, and the reliable composite signal is utilized to facilitate the accurate positioning of the receiving end.
When BPSK modulation is used, a lower bound of the code phase error under the AWGN channel can be further obtained, and under the condition that the influence of the communication signal on the positioning signal is considered, the code phase error can be represented by a lower bound of the code phase estimation error, which is a code phase measurement error used for measuring the interference of the communication signal on the positioning signal. The code phase error formula can be expressed by:
wherein,for the signal quality ratio of the communication user to the positioning user, gamma p As the wireless channel changes randomly, k=2g—1≡2g, representing the number of communication users over each positioning user bandwidth. From the above description of the channel characteristics, the code phase error equation of the positioning module can be obtained by combining equation (8) and equation (14), and the code phase error equation can be expressed by the following equation:
After bringing the formula (8), the formula (9) and the formula (14) to the formula (15), it can be represented by the following formula:
similarly, it is difficult to derive an exact closed form, the approximate expression of equation (16) is obtained using the Gaussian-Laguerre product equation in this example, and the final result can be expressed by the following equation:
rcp, ac represent the traffic distribution coefficient industrial coefficients. The code phase error performance gradually decreases as the second signal-to-noise ratio increases, because the more pronounced the second signal-to-noise ratio, the better the quality of the communication signal and the lower the code phase error. The reliability of the received composite signal can be verified through the code phase error, and the reliable composite signal is utilized, so that the accurate positioning of the receiving end can be realized later.
It should be noted that, without considering the influence of the communication signal on the positioning signal, the third signal-to-noise ratio corresponding to the positioning signal may be represented by the following formula:
the third signal to noise ratio represents the carrier to noise ratio of the positioning user signal due to noise. The code phase error may be embodied by a DLL tracking error, which may be used to evaluate signal tracking performance in a multipath fading scenario, the specific performance may be represented by the following equation:
Wherein,randomly varying with the variation of the radio channel, +.>Representing normalized power of communication signal at receiving end, when the received signal is direct signal only, beta is present 1 ＝1，/>After bringing equation (8) into equation (19) according to the above description of channel characteristics, it can be expressed by the following equation:
further simplified formula (20) can be represented by the following formula:
order theBy->I 1 And I 2 Can be represented by the following formula:
I 1 ＝Γ(a-1)(22)，I 2 ＝Γ(a+1) (23)。
bringing the formula (22) and the formula (23) into the formula (21) can be expressed by the following formula:
in some embodiments, the bit error rate and the code phase error satisfy a preset condition, including: and the error rate is smaller than or equal to a preset error rate and the code phase error is smaller than or equal to a preset code phase error, and the error rate and the code phase error are determined to meet the preset condition.
In this embodiment, the larger the bit error rate is, the larger the influence of the positioning signal on the communication signal due to spectrum leakage is, which results in that the frequency amplitude of the positioning signal cannot be accurately obtained, and the positioning signal is not accurate for positioning the receiving end. The larger the code phase error is, the larger the interference of the communication signal to the positioning signal is, and the positioning of the receiving end by the interfered positioning signal is not accurate. Therefore, it is necessary to ensure that the error rate and the code phase error satisfy preset conditions to ensure that the positioning signal is less subject to external interference. Under the condition that the error rate is required to be smaller than or equal to a preset error rate and the code phase error is required to be smaller than or equal to a preset code phase error, the positioning signal is less interfered by the outside, wherein the preset error rate and the preset code phase error are respectively determined through historical experience associated with the positioning signal.
In one embodiment provided by the present application, MATLAB simulation software is used to verify the performance of RIS-NOMA cooperative localization. In this embodiment, a scheme (RIS-NOMA) that applies a signal reflection technique and a non-orthogonal multiple access technique simultaneously is compared with a scheme that applies only a non-orthogonal multiple access technique (NOMA-only), and in experimental simulation, all communication signals have the same power, and a BPSK modulation mode is used for both the communication module and the positioning module unless specifically stated otherwise. It is assumed that the positioning signal is 50 times faster than the communication signal, i.e., g=50, the ret Li Cuila coefficient σ=0.6, n=8,radio frequency front end bandwidth B fe The communication module and the positioning module occupy separate subcarriers, and performance analysis under different system bandwidths can be obtained by changing the multiple of the spacing between the positioning signals and the subcarriers of the communication signals.
Fig. 2 is a first experimental comparison chart of a positioning method based on communication positioning integration according to an embodiment of the application, which verifies an experimental comparison chart of average bit error rate and transmission signal-to-noise ratio under two schemes, namely RIS-NOMA and NOMA-only, wherein the ordinate is the Average Bit Error Rate (ABER) of a communication module and the abscissa is the transmission signal-to-noise ratio (P) s /N o ). As can be seen from fig. 2, the average bit error rate gradually decreases with increasing transmission signal-to-noise ratio, because the more significant the transmission signal-to-noise ratio is, the more the quality of the communication signal is The lower the average bit error rate. Meanwhile, the average error rate in the RIS-NOMA scheme is reduced more rapidly than that in the NOMA-only scheme along with the increase of the transmission signal to noise ratio. When a is c ＝0.7，γ cp ＝24dB，a c ＝0.9，γ cp When=30db, γ cp The larger value indicates better communication quality and lower average bit error rate. At the same time, when a c ＝0.9，The greatest difference in time can further indicate that the performance of the RIS-NOMA positioning system is better than that of the NOMA-only positioning system.
FIG. 3 is a second experimental comparison chart of a positioning method based on communication positioning integration according to an embodiment of the application, comparing ABER analysis of RIS-NOMA system caused by different numbers (N) of reflection units in signal reflection equipment, wherein the ordinate is average error rate (ABER) of a communication module, and the abscissa is transmission signal-to-noise ratio (P s /N o ). First, it was observed that ABER of the RIS-NOMA system gradually decreased with increasing N. In addition, the ABER of RIS-NOMA system drops most rapidly when N is between 10 and 20, and drops more smoothly when N is greater than 20.
Fig. 4 is a third experimental comparison chart of a positioning method based on communication positioning integration according to an embodiment of the present application, which can be embodied under NOMA-only and RIS-NOMA conditions,(lower bound of code phase estimation error) or +. >(DLL tracking error) with a c (power distribution coefficient of communication signal). As can be seen from FIG. 4, the ranging performance of RIS-NOMA follows a c Is decreased by an increase in (a). Under constant alternating current conditions, the RIS-NOMA system is superior to the NOMA-only system in terms of the lower bound of estimated code phase estimation error and DLL tracking error.
FIG. 5 is a first embodiment of a positioning method based on communication positioning integrationFour experimental comparisons are shown for the estimated error of the RIS-NOMA system with a different number (N) of reflecting units in the signal reflecting device. As can be seen from fig. 5, the ranging performance of the RIS-NOMA system slowly decreases with increasing ac power. Ranging performance of RIS-NOMA with a c While the overall ranging performance is still smaller than NOMA, the performance of the rim-NOMA cooperative positioning is better than that of NOMA positioning and is entirely within the lower bound, as can be seen from fig. 5.
The embodiment of the application provides a positioning method based on communication positioning integration, which is applied to a base station in a communication positioning integration system, wherein the communication positioning integration system also comprises a signal reflection device and a receiving end, the receiving end comprises a communication module and a positioning module, the signal reflection device is respectively in communication connection with the receiving end and the base station, and referring to fig. 6, the method comprises the following steps:
Step 601 receives a communication signal and generates a positioning signal corresponding to the communication signal.
In this step, the user sends a communication signal to the base station based on the communication requirement, and the base station receives the communication signal, which is also of practical significance when locating the receiving end, and is exemplary, beneficial to the development of indoor navigation service. Therefore, the base station is used to generate a positioning signal based on the received communication signal so as to position the receiving end while the receiving end communicates.
Step 602, composing the communication signal and the positioning signal into a composite signal.
In the step, the communication signal and the positioning signal form a composite signal, so that the composite signal has both a communication function and a positioning function, and the communication signal and the positioning signal are not required to be respectively transmitted later, only the composite signal is required to be transmitted, and the utilization rate of spectrum resources can be improved through the composite signal.
And step 603, transmitting the composite signal to the signal reflection device, so that the signal reflection device forwards the composite signal to the receiving end.
In this step, the base station needs to send the composite signal to the receiving end, but because there is an obstacle shielding between the base station and the receiving end, it is unable to directly communicate, so the composite signal needs to be forwarded to the receiving end through the signal reflection device, and the influence of the obstacle shielding on the positioning signal in the composite signal is eliminated to a certain extent.
By the scheme, the communication signal is received and the positioning signal corresponding to the communication signal is generated. And forming the communication signal and the positioning signal into a composite signal, and improving the utilization rate of spectrum resources through the composite signal. And sending the composite signal to the signal reflection equipment so that the signal reflection equipment forwards the composite signal to the receiving end, and the influence on a positioning signal in the composite signal due to obstruction is eliminated to a certain extent.
In some embodiments, said combining said communication signal and said positioning signal into a composite signal comprises: the communication signal and the positioning signal are formed into the composite signal by the following formula:wherein z is the complex signal, a c A is the power distribution coefficient of the communication signal, a is the power distribution coefficient of the positioning signal c ＞a p ，P s X is the transmission power of the base station c X is the information of the communication signal p Is the composite information of the positioning signal.
In the present embodiment, the positioning signal is superimposed on the communication signal by NOMA technology, a c And a p Respectively the communication modules u c And a positioning module u p And a c +a p In order not to affect the main stream traffic and at the same time reduce the interference of the positioning signals to the traffic signals, the arrangement considers that the actual positioning signal allocation is low in power, i.e. has a c ＞a p . Through reasonable power distribution, the interference between the communication signal and the positioning signal in the composed composite signal is eliminated, and the composite signal is primarily ensuredThe communication signal and positioning signal quality are not affected.
It should be noted that, the method of the embodiment of the present application may be performed by a single device, for example, a computer or a server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the method of an embodiment of the present application, the devices interacting with each other to accomplish the method.
It should be noted that the foregoing describes some embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Based on the same inventive concept, the application also provides a positioning device based on communication positioning integration, which corresponds to the method of any embodiment.
Referring to fig. 7, the positioning device based on communication positioning integration is applied to a receiving end in a communication positioning integration system, the communication positioning integration system further includes a signal reflection device and a base station, the receiving end includes a communication module and a positioning module, the signal reflection device is respectively in communication connection with the receiving end and the base station, and the device includes:
and a receiving module 10 configured to receive a composite signal transmitted by the base station reflected by the signal reflection device, wherein the composite signal includes a communication signal and a positioning signal.
The parsing module 20 is configured to parse the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal.
A determination module 30 configured to determine a bit error rate of the communication module based on the first signal-to-noise ratio and to determine a code phase error of the positioning module based on the second signal-to-noise ratio.
And a positioning module 40 configured to position the receiving end based on the positioning signal in response to determining that the error rate and the code phase error satisfy a preset condition.
By the device, the composite signal sent by the base station and reflected by the signal reflection equipment is received, wherein the composite signal comprises a communication signal and a positioning signal. And analyzing the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal, and facilitating subsequent determination of the quality of the communication signal and the positioning signal through the first signal-to-noise ratio and the second signal-to-noise ratio. Based on the first signal-to-noise ratio, determining the error rate of the communication module, and based on the second signal-to-noise ratio, determining the code phase error of the positioning module, and verifying the reliability of the received composite signal by determining the error rate and the code phase error, thereby being beneficial to the subsequent accurate positioning of the receiving end by utilizing the reliable composite signal. And positioning the receiving end based on the positioning signal in response to determining that the error rate and the code phase error meet preset conditions, so that the purpose of accurately positioning the receiving end is achieved.
In some embodiments, the parsing module 20 is further configured to parse the composite signal to obtain the first signal-to-noise ratio by: Wherein, gamma c For the first signal-to-noise ratio, β is the amplitude reflection coefficient, g in For the channel coefficient vector from the ith reflecting unit of the signal reflecting device to the receiving end, phi is the reflection coefficient matrix of the signal reflecting device, h bi A is a channel coefficient vector of the base station to the ith reflection unit of the signal reflection device c A, allocating coefficients for the power of the communication signal, a p For the positioning signalPower distribution coefficient of a) c ＞a p ，P s For the transmitting power of the base station, A is the channel gain expression, N 0 Is additive white Gaussian noise, I p Is the interference strength to the communication signal.
In some embodiments, the parsing module 20 is further configured to parse the composite signal to obtain a second signal-to-noise ratio of the positioning signal, including: analyzing the composite signal by the following formula to obtain the second signal-to-noise ratio:wherein, gamma p For the second signal-to-noise ratio, β is the amplitude reflection coefficient, A is the channel gain expression, a p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p ，P s For the transmitting power of the base station, N 0 Is additive white gaussian noise.
In some embodiments, the determining module 30 is further configured to determine an error rate of the communication module based on the first signal-to-noise ratio, including:wherein BER is the bit error rate, gamma c For the first signal-to-noise ratio, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, η j The j th degree weight of the Laguerre polynomial of the j th degree, y j The value of the j-th order corresponding function of the j-order Laguerre polynomial, beta is the amplitude reflection coefficient, P s For the transmitting power of the base station, N 0 Is additive white Gaussian noise, I p A for interference strength to the communication signal p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p The method comprises the steps of carrying out a first treatment on the surface of the Determining a code phase error of the positioning module based on the second signal-to-noise ratio, comprising: />Wherein (1)>For the code phase error, a 1 Is the correlation value of the loop parameter, T p For the symbol period of the positioning signal, gamma cp For the signal quality ratio of the communication module to the positioning module, gamma p For the second signal-to-noise ratio, B fe The bandwidth of the front end of the radio frequency is B is the total bandwidth, beta is the amplitude reflection coefficient, a c A, allocating coefficients for the power of the communication signal, a p A, allocating coefficients for the power of the positioning signals, a c ＞a p ，P s For the transmitting power of the base station, N 0 For additive white gaussian noise, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, ω j To be the jth weight of the Laguerre polynomial of the j th order, x j And m is the Laguerre approximate range, which is the j th order corresponding function of the Laguerre polynomial of the j th order.
In some embodiments, the positioning module 40 is further configured to determine that the bit error rate and the code phase error meet the preset condition by the bit error rate being less than or equal to a preset bit error rate and the code phase error being less than or equal to a preset code phase error.
Based on the same inventive concept, the application also provides a positioning device based on communication positioning integration, which corresponds to the method of any embodiment.
Referring to fig. 8, the positioning device based on communication positioning integration is applied to a base station in a communication positioning integration system, the communication positioning integration system further includes a signal reflection device and a receiving end, the receiving end includes a communication module and a positioning module, the signal reflection device is respectively in communication connection with the receiving end and the base station, and the device includes:
The generation module 50 is configured to receive a communication signal and to generate a positioning signal corresponding to the communication signal.
A composing module 60 configured to compose the communication signal and the positioning signal into a composite signal.
A transmitting module 70 configured to transmit the composite signal to the signal reflecting device, so that the signal reflecting device forwards the composite signal to the receiving end.
By the device, a communication signal is received and a positioning signal corresponding to the communication signal is generated. And forming the communication signal and the positioning signal into a composite signal, and improving the utilization rate of spectrum resources through the composite signal. And sending the composite signal to the signal reflection equipment so that the signal reflection equipment forwards the composite signal to the receiving end, and the influence on a positioning signal in the composite signal due to obstruction is eliminated to a certain extent.
In some embodiments, the composing module 60 is further configured to compose the communication signal and the positioning signal into the composite signal by:wherein z is the complex signal, a c A is the power distribution coefficient of the communication signal, a is the power distribution coefficient of the positioning signal c ＞a p ，P s X is the transmission power of the base station c X is the information of the communication signal p Is the composite information of the positioning signal.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
The device of the foregoing embodiment is configured to implement the corresponding positioning method based on communication positioning integration in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
Based on the same inventive concept, the application also provides an electronic device corresponding to the method of any embodiment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the positioning method based on the communication positioning integration according to any embodiment when executing the program.
Fig. 9 shows a more specific hardware architecture of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 implement communication connections therebetween within the device via a bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit ), microprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing relevant programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 1020 may store an operating system and other application programs, and when the embodiments of the present specification are implemented in software or firmware, the associated program code is stored in memory 1020 and executed by processor 1010.
The input/output interface 1030 is used to connect with an input/output module for inputting and outputting information. The input/output module may be configured as a component in a device (not shown in the figure) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
Communication interface 1040 is used to connect communication modules (not shown) to enable communication interactions of the present device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).
Bus 1050 includes a path for transferring information between components of the device (e.g., processor 1010, memory 1020, input/output interface 1030, and communication interface 1040).
It should be noted that although the above-described device only shows processor 1010, memory 1020, input/output interface 1030, communication interface 1040, and bus 1050, in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
The electronic device of the foregoing embodiment is configured to implement the corresponding positioning method based on communication positioning integration in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
Based on the same inventive concept, the present application also provides a non-transitory computer readable storage medium corresponding to the method of any embodiment, wherein the non-transitory computer readable storage medium stores computer instructions for causing the computer to execute the positioning method based on the communication positioning integration according to any embodiment.
The computer readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be used to implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
The storage medium of the foregoing embodiments stores computer instructions for causing the computer to execute the positioning method based on the communication positioning integration according to any one of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the application (including the claims) is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined within the idea of the application, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the application as described above, which are not provided in detail for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure the embodiments of the present application. Furthermore, the devices may be shown in block diagram form in order to avoid obscuring the embodiments of the present application, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the present application are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that embodiments of the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The present embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, and the like, which are within the spirit and principles of the embodiments of the application, are intended to be included within the scope of the application.

Claims (10)

1. The utility model provides a positioning method based on communication location integration, its characterized in that is applied to the receiving terminal in the communication location integration system, communication location integration system still includes signal reflection equipment and basic station, the receiving terminal includes communication module and positioning module, signal reflection equipment respectively with the receiving terminal with the basic station communication connection, the method includes:
receiving a composite signal transmitted by the base station and reflected by the signal reflection equipment, wherein the composite signal comprises a communication signal and a positioning signal;
Analyzing the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal;
determining an error rate of the communication module based on the first signal-to-noise ratio, and determining a code phase error of the positioning module based on the second signal-to-noise ratio;
and positioning the receiving end based on the positioning signal in response to determining that the error rate and the code phase error meet preset conditions.
2. The method of claim 1, wherein said parsing the composite signal to obtain a first signal-to-noise ratio of the communication signal comprises:
analyzing the composite signal by the following formula to obtain the first signal-to-noise ratio:
wherein, gamma c For the first signal-to-noise ratio, β is the amplitude reflection coefficient, g in For the channel coefficient vector from the ith reflecting unit of the signal reflecting device to the receiving end, phi is the reflection coefficient matrix of the signal reflecting device, h bi A is a channel coefficient vector of the base station to the ith reflection unit of the signal reflection device c A, allocating coefficients for the power of the communication signal, a p A, allocating coefficients for the power of the positioning signals, a c ＞a p ，P s For the transmitting power of the base station, A is the channel gain expression, N 0 Is additive white Gaussian noise, I p Is the interference strength to the communication signal.
3. The method of claim 1, wherein said resolving the composite signal to obtain a second signal-to-noise ratio of the positioning signal comprises:
analyzing the composite signal by the following formula to obtain the second signal-to-noise ratio:
wherein, gamma p For the second signal-to-noise ratio, β is the amplitude reflection coefficient, A is the channel gain expression, a p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p ，P s For the transmitting power of the base station, N 0 Is additive white gaussian noise.
4. The method of claim 1, wherein the step of determining the position of the substrate comprises,
determining an error rate of the communication module based on the first signal-to-noise ratio, comprising:
wherein BER is the bit error rate, gamma c For the first signal-to-noise ratio, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, η j The j th degree weight of the Laguerre polynomial of the j th degree, y j The value of the j-th order corresponding function of the j-order Laguerre polynomial, beta is the amplitude reflection coefficient, P s For the transmitting power of the base station, N 0 Is additive white Gaussian noise, I p A for interference strength to the communication signal p A, allocating coefficients for the power of the positioning signals, a c A, allocating coefficients for the power of the communication signal, a c ＞a p ；
Determining a code phase error of the positioning module based on the second signal-to-noise ratio, comprising:
wherein,for the code phase error, a 1 Is the correlation value of the loop parameter, T p For the symbol period of the positioning signal, gamma cp For the signal quality ratio of the communication module to the positioning module, gamma p For the second signal-to-noise ratio, B fe The bandwidth of the front end of the radio frequency is B is the total bandwidth, beta is the amplitude reflection coefficient, a c A, allocating coefficients for the power of the communication signal, a p A, allocating coefficients for the power of the positioning signals, a c ＞a p ，P s For the transmitting power of the base station, N 0 For additive white gaussian noise, a is a first fixed parameter of the calculated probability density function expression, b is a second fixed parameter of the calculated probability density function expression, ω j To be the jth weight of the Laguerre polynomial of the j th order, x j The j th order corresponding function of the Laguerre polynomial of the j th order, m being the Laguerre approximationRange.
5. The method of claim 4, wherein the bit error rate and the code phase error satisfy a preset condition, comprising:
And the error rate is smaller than or equal to a preset error rate and the code phase error is smaller than or equal to a preset code phase error, and the error rate and the code phase error are determined to meet the preset condition.
6. The utility model provides a positioning method based on communication location integration, its characterized in that is applied to the basic station in the communication location integration system, communication location integration system still includes signal reflection equipment and receiving terminal, the receiving terminal includes communication module and positioning module, signal reflection equipment respectively with receiving terminal with the basic station communication connection, the method includes:
receiving a communication signal and generating a positioning signal corresponding to the communication signal;
forming the communication signal and the positioning signal into a composite signal;
and transmitting the composite signal to the signal reflection equipment so that the signal reflection equipment forwards the composite signal to the receiving end.
7. The method of claim 6, wherein said combining the communication signal and the positioning signal into a composite signal comprises:
the communication signal and the positioning signal are formed into the composite signal by the following formula:
wherein z is the complex signal, a c A is the power distribution coefficient of the communication signal, a is the power distribution coefficient of the positioning signal c ＞a p ，P s X is the transmission power of the base station c Is saidInformation of communication signal x p Is the composite information of the positioning signal.
8. Positioning device based on communication location integration, characterized in that is applied to the receiving terminal in the communication location integration system, communication location integration system still includes signal reflection equipment and basic station, the receiving terminal includes communication module and positioning module, signal reflection equipment respectively with the receiving terminal with the basic station communication connection, the device includes:
a receiving module configured to receive a composite signal transmitted by the base station reflected by the signal reflection apparatus, wherein the composite signal includes a communication signal and a positioning signal;
the analysis module is configured to analyze the composite signal to obtain a first signal-to-noise ratio of the communication signal and a second signal-to-noise ratio of the positioning signal;
a determining module configured to determine a bit error rate of the communication module based on the first signal-to-noise ratio and to determine a code phase error of the positioning module based on the second signal-to-noise ratio;
And the positioning module is configured to respond to the determination that the error rate and the code phase error meet preset conditions and position the receiving end based on the positioning signal.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when the program is executed by the processor.
10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 7.
CN202310861778.0A 2023-07-13 2023-07-13 Positioning method based on communication positioning integration and related equipment Pending CN117119584A (en)

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