Dual-intelligent reflecting surface assisted positioning system

Abstract

The present invention relates to the field of intelligent reflecting surface assisted positioning, and particularly to a positioning system based on dual intelligent reflecting surface assistance. The solution includes: randomly setting multiple groups of beamforming codes for two intelligent reflecting surfaces, and a signal processor measuring the measured sample values corresponding to each group of beamforming codes. Based on the measured sample values and the corresponding beamforming codes, a phase shift processor gives optimization suggestions for each reflecting element on the two intelligent reflecting surfaces, and at the same time sends the position coordinates of the two intelligent reflecting surfaces to a locator; two corresponding phase shift controllers form corresponding beamforming codes according to the optimization suggestions and configure them on the corresponding intelligent reflecting surfaces. A receiver sends its own position coordinates to the locator, and the locator determines the position of an unknown transmitter based on the optimization suggestions for each reflecting element of the two intelligent reflecting surfaces, the position coordinates of the two intelligent reflecting surfaces, and the position coordinates of the receiver, and feeds back the position information to the receiver. The present invention is applicable to high-precision positioning.

Description

Technical Field

[0001] The present invention relates to the field of intelligent reflecting surface assisted positioning, and particularly to a positioning system based on dual intelligent reflecting surface assistance. Background Art

[0002] Most existing studies assume that the core network can obtain all the information of the channel from the transmitter to the intelligent reflecting surface and the channel from the intelligent reflecting surface to the receiver when optimizing the intelligent reflecting surface. However, this assumption lacks practical considerations: 1) The large-scale deployment of base stations makes the channel conditions in real communication scenarios very complex; 2) The physical distances of each reflecting unit on the intelligent reflecting surface are close, resulting in similar channel states of the reflections passing through different reflecting units, which exacerbates the difficulty of accurately estimating the channel states of each; 3) In order to obtain the channel information from the transmitter to the intelligent reflecting surface and from the intelligent reflecting surface to the receiver, existing channel estimation strategies require the intelligent reflecting surface to feedback the received pilot signals in real time, which requires an independent information transmission link between the intelligent reflecting surface and the base station, and the intelligent reflecting surface also needs to have signal receiving and processing functions. However, the current network protocol architecture does not support these settings; 4) Even if information interaction is allowed between the intelligent reflecting surface and the base station, this will increase the construction cost and network energy consumption of the intelligent transmitting surface, making it difficult to deploy the intelligent reflecting surface on a large scale.

[0003] Although the application of intelligent reflecting surfaces in wireless communication has been widely studied and shown significant communication gains, existing studies mainly focus on optimizing intelligent reflecting surfaces to enhance communication performance, and pay less attention to their potential in wireless positioning. Traditional wireless positioning technologies usually rely on base stations to measure information such as time of arrival, angle of arrival, or received signal strength. However, in complex environments (such as non-line-of-sight NLOS scenarios), signal fading and multipath effects seriously affect the positioning accuracy.

[0004] Although intelligent reflecting surfaces have the ability to flexibly regulate wireless signals and can theoretically be used to improve positioning performance, existing studies on intelligent reflecting surfaces rarely involve how to use intelligent reflecting surfaces for precise positioning. In addition, current mainstream intelligent reflecting surface configuration methods often rely on known channel state information, and there is still a lack of corresponding research on how to use intelligent reflecting surfaces to achieve high-precision positioning in unknown channel situations. Summary of the Invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a positioning system based on dual intelligent reflecting surface assistance, which realizes high-precision positioning assisted by intelligent reflecting surfaces based on the cooperation of two intelligent reflecting surfaces without any channel information.

[0006] The present invention adopts the following technical solutions to achieve the above object. The present invention provides a positioning system based on dual intelligent reflecting surface assistance, including a transmitter, a receiver, a coordinator, a signal processor, a phase shift processor, two phase shift controllers, two intelligent reflecting surfaces, and a locator;

[0007] The coordinator sends an indication signal to the phase shift processor to indicate the start of the sampling phase of the intelligent reflecting surface. During the sampling phase, multiple groups of beamforming codes are randomly set for the two intelligent reflecting surfaces, and the signal processor measures the measurement sample values corresponding to each group of beamforming codes. According to the measurement sample values and the corresponding beamforming codes, the phase shift processor gives optimization suggestions for each reflecting unit on the two intelligent reflecting surfaces, and sends them to the two corresponding phase shift controllers and the locator. At the same time, the position coordinates of the two intelligent reflecting surfaces are sent to the locator;

[0008] The two corresponding phase shift controllers form the corresponding beamforming codes according to the optimization suggestions and configure them on the corresponding intelligent reflecting surfaces. The receiver sends its own position coordinates to the locator. The locator determines the position of the unknown transmitter according to the optimization suggestions of each reflecting unit of the two intelligent reflecting surfaces, the position coordinates of the two intelligent reflecting surfaces, and the position coordinates of the receiver, and feeds back the position information to the receiver.

[0009] Further, during the sampling phase, the beamforming of each reflecting unit of the two intelligent reflecting surfaces is randomly generated according to a uniform distribution, and the generation method is an advance generation mode or an immediate generation mode.

[0010] Further, the advance generation mode means that the random beamforming is generated in advance before the module is deployed in the network and stored in the corresponding storage element. According to the generation position, the advance generation mode is divided into phase shift controller generation and phase shift processor generation;

[0011] Phase shift controller generation means that each phase shift controller generates multiple groups of random beamforming and a set of codebooks in advance. After being deployed in the network, the phase shift processor obtains the beamforming adopted by all intelligent reflecting surfaces through a set interaction method;

[0012] Phase shift processor generation means that the phase shift processor generates multiple groups of random beamforming and a set of codebooks in advance. After being deployed in the network, the phase shift processor sends the random beamforming and the codebook to all phase shift controllers through a set interaction method.

[0013] Further, the immediate generation mode means that the random beamforming is generated immediately during the sampling phase, reducing the storage overhead by increasing the computational overhead. According to the generation position, the immediate generation mode is divided into phase shift controller generation and phase shift processor generation;

[0014] The phase shift controller generates means that each phase shift controller instantaneously generates random beamforming according to its own codebook, and the phase shift processor obtains the beamforming adopted by all intelligent reflectors during the sampling process through a set interaction method;

[0015] The phase shift processor generates means that the phase shift processor instantaneously generates random beamforming according to its own codebook, and the phase shift processor sends the beamforming to all phase shift controllers during the sampling process through a set interaction method.

[0016] Furthermore, the optimization suggestions given by the phase shift processor for each reflection unit on two intelligent reflectors specifically include:

[0017] The phase shift processor gives optimization suggestions for each reflection unit on two intelligent reflectors according to the communication improvement algorithm, and the communication improvement algorithm specifically includes:

[0018] The phase shift controller forms beamforming encodings according to the random beamforming codebook. Each time the phase shift controller generates a beamforming encoding, the transmitter sends a signal with the same power to the receiver, and the signal processor measures the sample data , and finally the signal processor will obtain the corresponding sample data , for each reflection unit of the nd intelligent reflector, the phase shift processor selects the phase shift that maximizes the conditional sample expectation from feasible phase shifts as the phase shift value of this reflection unit, that is:

[0019] ;

[0020] where represents the phase shift value corresponding to the maximum expected value, n represents the nth reflection unit of the th intelligent reflector, represents the th feasible phase shift, , represents the number of feasible phase shifts for each unit, represents the set of phase shifts, is a -dimensional vector, and its components correspond to the phase shift of a reflection unit of the th intelligent reflector, represents all measurement samples that satisfy , and if there are multiple phase shift values that maximize the conditional sample expectation, any one is taken.

[0021] Furthermore, the locator determines the position of the unknown transmitter specifically including:

[0022] The locator determines the position of the unknown transmitter according to the dual-intelligent reflecting surface positioning algorithm; the dual-intelligent reflecting surface positioning algorithm specifically includes:

[0023] The intelligent reflecting surface has reflecting elements, which is a planar array, where is the number of reflecting elements along the axis direction, is the number of reflecting elements along the axis direction. The th reflecting element is the reflecting element in the th row and the th column on the th intelligent reflecting surface. is the direct channel from the transmitter to the receiver, is the reflected channel introduced by the th reflecting element. is the phase difference between the direct channel and the reflected channel. According to the properties of the line-of-sight channel, for two adjacent reflecting elements and in the same column on the th intelligent reflecting surface, then:

[0024] ;

[0025] For two adjacent reflecting elements and in the same row on the th intelligent reflecting surface, then:

[0026] ;

[0027] is the wavelength of the carrier used for transmitting the signal, is the spacing between two adjacent reflecting elements, are respectively the vertical arrival angle of the transmitter to the th intelligent reflecting surface, the vertical departure angle of the th intelligent reflecting surface to the receiver, the horizontal arrival angle of the transmitter to the th intelligent reflecting surface, and the horizontal departure angle of the th intelligent reflecting surface to the receiver;

[0028] Take the intelligent reflecting surface reflection element optimization suggestion as an optimal estimate based on random samples of , that is , and the locator will be based on and as well as First, estimate and , according to the relationship between and , at the th reflecting unit, an independent estimate of is obtained:

[0029] , where , represents the independent estimate of ;

[0030] Take the average of all independent estimates as the final estimate of :

[0031] ; is the number of independent estimates of , represents the final estimate of ;

[0032] Based on the final estimate of , according to the relationship between and , at the th reflecting unit, an independent estimate of is obtained:

[0033] , represents the independent estimate of ;

[0034] Take the average of all independent estimates as the final estimate of :

[0035] , is the number of independent estimates of , represents the final estimate of ;

[0036] Finally, according to the coordinates of two known intelligent reflecting surfaces and the estimated angle of arrival of the transmitter to the intelligent reflecting surface , draw two rays, and the intersection coordinates of the two rays are the final estimate of the unknown transmitter position.

[0037] The beneficial effects of the present invention are:

[0038] Compared with the traditional technology of optimizing intelligent reflecting surfaces based on channel state information to improve communication quality, the present invention proposes a joint communication enhancement and positioning technology without any channel information. By ingeniously designing the channel-free blind beamforming scheme of the intelligent reflecting surface, while enhancing the signal, the present invention realizes the positioning of unknown targets by analyzing the spatial information carried in the reflected signals of the intelligent reflecting surface that can be used for target positioning. This innovation breaks through the dependence of traditional methods on accurate channel state information estimation, avoids the computational complexity and overhead of high-dimensional channel state information estimation, enables the intelligent reflecting surface to effectively improve communication performance in an unknown channel environment, and simultaneously achieves high-precision positioning, thus endowing the intelligent reflecting surface with stronger environmental adaptability and a wider range of application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 FIG. is a block diagram of a positioning system assisted by a dual intelligent reflecting surface provided by an embodiment of the present invention;

[0040] Figure 2 FIG. is a schematic diagram of the angle of arrival and the angle of departure provided by an embodiment of the present invention;

[0041] Figure 3 FIG. is a schematic diagram of dual intelligent reflecting surface positioning provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0043] The present invention provides a positioning system assisted by a dual intelligent reflecting surface, as Figure 1 shown, including a transmitter, a receiver, a coordinator, a signal processor, a phase shift processor, a first phase shift controller, a second phase shift controller, a first intelligent reflecting surface, a second intelligent reflecting surface, and a locator.

[0044] The coordinator sends an indication signal to the phase shift processor to signal the start of the sampling phase of the intelligent reflecting surface. During the sampling phase, multiple groups of beamforming codes are randomly set for the two intelligent reflecting surfaces (i.e., the first intelligent reflecting surface and the second intelligent reflecting surface), and the signal processor measures the measured sample values corresponding to each group of beamforming codes, i.e., the signal strength;

[0045] Based on the measured sample values and the corresponding beamforming codes, the phase shift processor calculates the optimization suggestions for each reflection unit on the two intelligent reflecting surfaces according to the communication improvement algorithm, and sends them to the corresponding two phase shift controllers (i.e., the first phase shift controller and the second phase shift controller) and the locator;

[0046] Two phase shift controllers form corresponding beamforming codes according to the optimization suggestions and configure them on the corresponding intelligent reflecting surfaces;

[0047] The phase shift processor sends the position coordinates of the two intelligent reflecting surfaces to the locator;

[0048] The phase shift processor sends a feedback signal to the coordinator, indicating that the beamforming of the intelligent reflecting surface has been optimized;

[0049] The coordinator sends an indication signal to the receiver, indicating that the receiver sends its own position coordinates to the locator; after the receiver finishes sending, it sends a feedback signal to the coordinator, indicating that the position coordinates of the receiver have been sent;

[0050] The coordinator sends an indication signal to the locator, indicating the start of the positioning of the unknown transmitter;

[0051] Based on the optimization suggestions of each reflection unit of the two intelligent reflecting surfaces, the position coordinates of the two intelligent reflecting surfaces, and the position coordinates of the receiver, the locator calculates the position of the position transmitter according to the positioning algorithm and sends it to the receiver;

[0052] The locator sends a feedback signal to the coordinator, indicating that the positioning of the unknown transmitter has been completed.

[0053] Specifically, in the sampling stage, the beamforming (i.e., phase shift) of each reflection unit of each intelligent reflecting surface is randomly generated according to a uniform distribution. The generation method can be two modes: pre-generation or immediate generation.

[0054] Pre-generation mode:

[0055] This mode means that the random beamforming is pre-generated before the module is deployed in the network (for example, at the factory) and stored in the corresponding storage element. According to the generation location, the pre-generation mode is divided into two methods: phase shift controller generation and phase shift processor generation.

[0056] Phase shift controller generation: Each phase shift controller pre-generates multiple groups of random beamforming and a set of codebooks. After being deployed in the network, the phase shift processor obtains the beamforming adopted by all intelligent reflecting surfaces through a certain interaction method.

[0057] Phase shift processor generation: The phase shift processor pre-generates multiple groups of random beamforming and a set of codebooks. After being deployed in the network, the phase shift processor sends the random beamforming and codebooks to all phase shift controllers through a certain interaction method.

[0058] Immediate generation mode:

[0059] This mode means that the random beamforming is generated instantaneously by the module during the sampling phase, reducing the storage overhead by increasing the computational overhead. According to the generation location, the instantaneous generation mode is divided into two methods: generation by the phase shift controller and generation by the phase shift processor.

[0060] Generation by the phase shift controller: Each phase shift controller instantaneously generates random beamforming according to its own codebook, and the phase shift processor obtains the beamforming adopted by all intelligent reflectors during the sampling process through a certain interaction method.

[0061] Generation by the phase shift processor: The phase shift processor instantaneously generates random beamforming according to its own codebook, and the phase shift processor sends the beamforming to all phase shift controllers during the sampling process through a certain interaction method.

[0062] The dual-intelligent reflector communication enhancement algorithm specifically includes:

[0063] Consider a SISO network assisted by two intelligent reflectors, each intelligent reflector containing reflecting elements. The phase shift value of each reflecting element is taken from the discrete set , .

[0064] First, the phase shift controller forms beamforming codes according to the random beamforming codebook. Each time the phase shift controller generates a beamforming code, the transmitter sends a signal with the same power to the receiver, and the signal processor measures the sample data . Finally, the signal processor will obtain the corresponding sample data . For each reflecting element of the rd intelligent reflector, the phase shift processor selects the phase shift that maximizes the conditional sample expectation from feasible phase shifts as the phase shift value of this reflecting unit, that is,

[0065] ;

[0066] where represents the phase shift value corresponding to the maximum expected value, n represents the nth reflecting element of the th intelligent reflector, represents the th feasible phase shift, , represents the number of feasible phase shifts for each unit, represents the phase shift set, is a -dimensional vector, and its components correspond to the phase shift of a reflecting element of the th intelligent reflector, Denote all the subset of samples among the measured samples that satisfy

[0067] After the phase shift processor determines the phase shifts of all reflection units according to the above method, it sends the optimization suggestions to the two phase shift controllers, and the phase shift controllers adjust the reflection phase shifts of the corresponding intelligent reflecting surfaces according to the optimization suggestions. Subsequently, the phase shift processor sends the optimization suggestions and the position coordinates of the two intelligent reflecting surfaces to the locator, and at the same time feeds back the information of the completed optimization to the coordinator. After receiving the information feedback, the coordinator starts to instruct the locator to start positioning the unknown transmitter.

[0068] Specifically, refer to the following embodiments.

[0069] Consider a single-user network assisted by two intelligent reflecting surfaces. Each intelligent reflecting surface contains two reflection units, and each reflection unit contains two feasible phase shifts , and 6 samples are taken each time one intelligent reflecting surface is optimized, that is . Randomly generate 6 sets of beamforming, and the obtained test sample set is as shown in Table 1 below:

[0070] Test Sample Set Table 1

[0071]

[0072] For the first reflection unit of the first intelligent reflecting surface, when its phase shift is 0, it corresponds to the 1st, 2nd, and 6th samplings, then the conditional sample expectation is:

[0073]

[0074] Similarly, Table 2 below can be calculated.

[0075] Reflection Unit and Phase Shift Data Table 2

[0076]

[0077] According to the above calculation results, the phase shift processor makes the phase shifts of the four reflection units of the two reflecting surfaces optimized to through the phase shift controllers.

[0078] The dual-intelligent-reflecting-surface positioning algorithm specifically includes:

[0079] After receiving the feedback signal indicating the completion of beamforming optimization sent by the phase shifter, the coordinator immediately sends an indication signal to the locator to signal the start of positioning the unknown transmitter. After receiving the phase shift optimization suggestions for the two intelligent reflectors, the position coordinates of the two intelligent reflectors, and the position coordinates of the receiver fed back by the receiver, the locator starts to complete the positioning of the transmitter with unknown position according to the indication signal of the coordinator.

[0080] The intelligent reflector can be set to be parallel to the plane and has reflection units. The intelligent reflector is usually manufactured into a planar array, where is the number of reflection units along the axis direction (the number of units in each row), is the number of reflection units along the axis direction (the number of rows). Denote the th reflection unit as the one in the th row and the rd column on the th intelligent reflector. Denote as the direct channel from the transmitter to the receiver, where t represents the transmitter and r represents the receiver. Denote as the reflection channel introduced by the th reflection unit. Since both the direct channel and the reflection channel are complex numbers, denote as the phase difference between the direct channel and the reflection channel. Since both the direct channel and the reflection channel are usually line-of-sight channels, according to the properties of line-of-sight channels, we can obtain that for two adjacent reflection units and in the same column on the th intelligent reflector, then the present invention has

[0081]

[0082] Similarly, for two adjacent reflection units and in the same row on the th intelligent reflector, the present invention has

[0083]

[0084] In the above two equations, is the wavelength of the carrier used for transmitting the signal, is the spacing between two adjacent reflection units, are respectively the distances from the transmitter to the The vertical angle of arrival of the first intelligent reflecting surface, the vertical departure angle from the -th intelligent reflecting surface to the receiver, the horizontal angle of arrival of the transmitter at the -th intelligent reflecting surface, and the horizontal departure angle from the -th intelligent reflecting surface to the receiver. The specific angle information can be referred to Figure 2 , Figure 2 where m is in meter.

[0085] Furthermore, the present invention proves that the optimization suggestions for the reflecting elements of the intelligent reflecting surface obtained in the foregoing communication improvement algorithm can be regarded as an optimal estimate based on random samples of , denoted as . Since both the two intelligent reflecting surfaces and the receiver have fed back their own position coordinates to the locator, and can be calculated from the corresponding position coordinates. The locator will first estimate and based on and . According to the relationship between the foregoing and , at the -th reflecting element, the present invention can obtain an independent estimate of :

[0086]

[0087] where . The present invention can have at most independent estimates of . Therefore, the present invention finally takes the average of all these independent estimates as the final estimate of :

[0088]

[0089] Similarly, based on the final estimate of , the present invention can further obtain an independent estimate of and at the -th reflecting element according to the relationship between :

[0090]

[0091] The present invention can obtain at most independent estimates of , and takes the average of these independent estimates as the Final estimated value:

[0092]

[0093] After obtaining the estimation, the locator will finally complete the positioning of the transmitter. For simplicity, the present invention only considers estimating the two-dimensional coordinates of the transmitter on the plane and ignores its height information. The method for the locator to position the transmitter is very simple: as Figure 3 shown, based on the coordinates of two known intelligent reflecting surfaces and the estimated angle of arrival from the transmitter to the intelligent reflecting surface, the present invention can draw two rays, and the intersection coordinates of these two rays are the final estimate of the transmitter's position. After completing the estimation of the transmitter's position, the locator feeds back the estimated position to the receiver and sends a feedback signal to the coordinator to indicate that the positioning algorithm has finished running.

[0094] The above are only the preferred embodiments of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein, should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications, and environments, and can be changed within the scope of the concept described herein through the above teachings or the techniques or knowledge in related fields. And any changes and modifications made by those skilled in the art without departing from the spirit and scope of the present invention shall fall within the protection scope of the appended claims of the present invention.

Claims

1. A positioning system based on dual intelligent reflective surfaces, characterized in that: It includes a transmitter, a receiver, a coordinator, a signal processor, a phase shift processor, two phase shift controllers, two intelligent reflective surfaces, and a positioner; The coordinator sends an indication signal to the phase shift processor, indicating the start of the sampling phase of the smart reflective surface. In the sampling phase, multiple groups of beamforming codes are randomly set for the two smart reflective surfaces, and the signal processor measures the measurement sample values ​​corresponding to each group of beamforming codes. According to the measurement sample values ​​and the corresponding beamforming codes, the phase shift processor gives optimization suggestions for each reflection unit on the two smart reflective surfaces, and sends them to the two corresponding phase shift controllers and locators, and at the same time sends the position coordinates of the two smart reflective surfaces to the locator; Two corresponding phase shift controllers form corresponding beamforming codes according to the optimization suggestions and configure them on the corresponding smart reflective surfaces. The receiver sends its own position coordinates to the locator. The locator determines the position of the unknown transmitter according to the optimization suggestions of each reflective unit of the two smart reflective surfaces, the position coordinates of the two smart reflective surfaces and the position coordinates of the receiver, and feeds back the position information to the receiver. The optimization suggestions for each reflector unit include: The phase shift processor provides optimization suggestions for each reflection unit on the two smart reflection surfaces according to the communication improvement algorithm, and the communication improvement algorithm specifically includes: The phase shift controller forms a random beamforming codebook Each time the phase shift controller generates a beamforming code, the transmitter sends a signal with the same power to the receiver, and the signal processor measures the sample data. , and finally the signal processor will obtain the corresponding Sample data , for the Each reflective unit of the smart reflective surface is controlled by a phase shift processor. The phase shift that maximizes the expected conditional sample is selected from the feasible phase shifts as the phase shift value of the reflection unit, that is: ； in represents the phase shift value corresponding to the maximum expected value, and n represents the The nth reflection unit of the smart reflection surface, Indicates A possible phase shift, , represents the number of possible phase shifts per unit, represents the phase shift set, For one dimensional vector, whose components correspond to the The phase shift of a reflective unit of a smart reflective surface, Indicates all The measurement samples satisfy If there are multiple phase shift values ​​that maximize the conditional sample expectation, then any one is selected.

2. The dual intelligent reflective surface-assisted positioning system according to claim 1, characterized in that: In the sampling stage, the beamforming of each reflection unit of the two intelligent reflection surfaces is randomly generated according to a uniform distribution, and the generation mode is an advance generation mode or an instant generation mode.

3. The dual intelligent reflective surface-assisted positioning system according to claim 2, characterized in that: The advance generation mode means that the random beamforming is generated in advance before the module is deployed in the network and stored in the corresponding storage element. According to the generation position, the advance generation mode is divided into phase shift controller generation and phase shift processor generation; Phase shift controller generation means that each phase shift controller generates multiple sets of random beamforming and a set of codebooks in advance. After being deployed in the network, the phase shift processor obtains the beamforming used by all smart reflectors by setting an interactive mode; Phase shift processor generation means that the phase shift processor generates multiple groups of random beamforming and a set of codebooks in advance. After being deployed in the network, the phase shift processor sends the random beamforming and codebooks to all phase shift controllers by setting an interactive mode.

4. The positioning system based on dual intelligent reflective surfaces as claimed in claim 2, characterized in that: The instant generation mode refers to the instant generation of random beamforming in the sampling stage, which reduces the storage overhead by increasing the calculation overhead. According to the generation position, the instant generation mode is divided into phase shift controller generation and phase shift processor generation; Phase shift controller generation means that each phase shift controller generates random beamforming in real time according to its own codebook, and the phase shift processor obtains the beamforming adopted by all smart reflectors during the sampling process by setting an interactive mode; The phase shift processor generates random beamforming according to its own codebook in real time, and the phase shift processor sends the beamforming to all phase shift controllers during the sampling process by setting an interactive mode.

5. The dual intelligent reflective surface-assisted positioning system according to claim 1, characterized in that: The locator determines the location of the unknown transmitter by: The locator determines the position of the unknown transmitter according to the dual intelligent reflector positioning algorithm; the dual intelligent reflector positioning algorithm specifically includes: Smart reflective surface has Reflection unit, A planar array of For along The number of reflection units in the axial direction, For along The number of reflection units in the axial direction, The reflection unit is in the On the smart reflective surface Row, No. The reflection unit of the column, is the direct channel from transmitter to receiver, For the The reflection channel introduced by the reflection unit, is the phase difference between the direct channel and the reflected channel. According to the properties of the line-of-sight channel, for the Two adjacent reflection units on the same row of a smart reflection surface as well as ,but: ； For Two adjacent reflective units on the same row of a smart reflective surface as well as ,but: ； in, is the wavelength of the carrier used to transmit the signal, is the distance between two adjacent reflection units, The transmitter arrives at The vertical angle of arrival of the first intelligent reflective surface, The vertical departure angle of the smart reflector from the receiver to the transmitter to the The horizontal arrival angle of the first smart reflector, The horizontal departure angle from the smart reflector to the receiver; Optimize the reflection unit of the smart reflective surface As a pair An optimal estimate based on random samples ,Right now , the locator will be based on as well as Let's first estimate and ,according to and The relationship between When there are reflection units, we get Independent estimates of: ,in , Express Independent estimates of Take the average of all independent estimates as the pair The final estimate of: ; For The number of independent estimates of Express The final estimate of Based on The final estimate of and The relationship between When the reflection unit Independent estimates of: , Express Independent estimates of Take the average of all independent estimates as the pair The final estimate of: ; For The number of independent estimates of Express The final estimate of Finally, based on the two known coordinates of the smart reflector and the estimated arrival angle from the transmitter to the smart reflector , draw two rays, and the coordinates of the intersection of the two rays are the final estimate of the unknown transmitter position.

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