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CN-121984544-A - Universal sensing integrated system and method based on hybrid pre-coding fabric framework

CN121984544ACN 121984544 ACN121984544 ACN 121984544ACN-121984544-A

Abstract

The invention relates to a general sense integrated system and method based on a mixed pre-coding fabric framework, wherein the general sense integrated system comprises a super-surface unit array, a column control network, a controller MCU (micro control unit), an external feed source and a general sense integrated system, wherein the static phase states of all super-surface units form a static pre-coding phase matrix, the column control network comprises N independent control lines and a direct current bias network, each control line is connected with and synchronously controls all super-surface units of one column in the super-surface unit array, the controller MCU is connected with the column control network and sends dynamic column control signals containing dynamic column control vectors to the column control network to generate the phase configuration of a final real-time beam scanning phase matrix and carry out beam formation, the external feed source is used for transmitting or receiving electromagnetic waves, and the general sense integrated system is configured to direct beams to a communication target in a communication mode and carry out beam scanning and echo signal processing in a sensing mode. The phase error problem of the RIS beam scanning system is solved, and the implementation complexity and the manufacturing cost of the intelligent fabric are reduced.

Inventors

  • Zhai Menglin
  • WU TONGXUAN
  • PEI RUI

Assignees

  • 东华大学

Dates

Publication Date
20260505
Application Date
20260408

Claims (10)

  1. 1. A system for integrating a sense of general and an external feed source based on a mixed pre-coding fabric framework is characterized by comprising a reconfigurable intelligent surface and an external feed source, wherein the reconfigurable intelligent surface comprises a columnar control network, a controller MCU and a super-surface unit array based on a flexible textile substrate, each super-surface unit in the super-surface unit array is provided with a static phase state which is solidified and set during manufacturing, the static phase states of all super-surface units form a static pre-coding phase matrix, the static pre-coding phase matrix is optimally generated and solidified in the super-surface unit array through a differential evolutionary algorithm based on the feed source and a beam scanning phase statistical rule and used for pre-compensating inherent phase aberration of the integrated sense system, the columnar control network comprises N independent control lines and a direct current bias network, each control line is connected with and synchronously controls all super-surface units in one row in the super-surface unit array and used for carrying out dynamic overturning on the static phase states, the controller MCU is connected with the columnar control network and is configured to be used for carrying out greedy algorithm calculation on a static pre-coding phase matrix aiming at a target direction, the static pre-coding phase matrix is optimally generated and solidified in the super-surface unit array through a differential evolutionary algorithm and used for pre-compensating inherent phase aberration of the integrated sense system, the integrated sense of general and an intelligent surface control system comprises N independent control lines and a direct current bias network, each control line is connected with all super-surface units, the super-surface units are synchronously controlled by one, the super-surface unit is used for carrying out dynamic phase inversion, the static phase control on one, the super-surface unit is configured, and the static phase control system, and all phase unit is arranged, and each super-surface unit is used for carrying on the static phase.
  2. 2. The integrated system of claim 1, wherein each of the super-surface units in the super-surface unit array comprises an upper metal layer-insulator-lower metal layer structure, wherein the upper metal layer comprises a double square grooved structure and a PIN diode, the double square grooved structure comprises two square grooved structures symmetrically placed along the direction of a control line connected with the super-surface unit and with adjacent sides being long sides, a gap structure capable of providing two stable reflection phase states of 0 ° and 180 ° and allowing direct current bias through a gap center is reserved between the two adjacent sides, and the PIN diode is placed at the center position of the gap structure and spans the two square grooved structures; the polarity direction of the PIN diode is guaranteed to be uniform in the zero-phase state of all the diodes in the super-surface units, the fixed static phase state of the super-surface units is achieved by turning the polarity direction of the PIN diode during manufacturing or symmetrically turning the geometric orientation of the super-surface units of the double-side groove structure by 180 degrees during manufacturing, each super-surface unit comprises an upper metal conductive cloth, a fabric medium substrate and a lower metal conductive cloth, the double-side groove structure is a resonance patch, long rectangular microstrip lines are respectively led out from the short sides of the two sides of the double-side groove structure and used for the super-surface units to be arranged and then finally connected with a single chip microcomputer direct-current column control network, each super-surface unit comprises a phase turning symmetrical structure design, and a direct-current bias network simplifies a direct-current bias line by using the phase turning symmetrical structure and is electrically connected with the PIN diode.
  3. 3. The integrated system of through inductance based on a hybrid pre-coding fabric architecture according to claim 1, wherein the dc bias network introduces a dc bias signal by using an electric field zero point generated by a symmetrical structure of a super surface unit and a double-sided slot structure at an operating frequency, and prolongs a radio frequency current path by a slot structure to generate high radio frequency impedance, thereby realizing physical isolation of a dc control path and a radio frequency resonance path, and eliminating the need for multiple layers of through holes and independent wiring.
  4. 4. The hybrid precoding fabric architecture based on the integrated sense of rotation system of claim 1 wherein the static precoding phase matrix The method is determined by an off-line optimization process, and the off-line optimization process comprises the steps of carrying out statistical analysis in a preset required beam scanning target angle range to generate a turnover probability map representing the phase turnover statistical rule of each super-surface unit, carrying out optimization by using an initial precoding phase matrix calculated based on the turnover probability map as an initialization population and utilizing a global heuristic optimization algorithm, wherein the global heuristic optimization algorithm is preferably a differential evolution algorithm to find a static phase matrix which enables the comprehensive performance of the system to be optimal in the beam scanning target angle range as a static phase matrix The comprehensive performance optimization is measured through maximization of an evaluation function, the evaluation function is defined as a weighted sum of array gain, side lobe level and pointing precision index under each discrete target angle in the scanning target angle range, and an adaptive penalty weight eta is introduced into the adaptive function design of a heuristic optimization algorithm and is related to unit statistics reflected by the turnover probability map and used for dynamically adjusting an optimization strategy.
  5. 5. The integrated system for motion sensing based on hybrid pre-coded fabric architecture of claim 4, wherein the evaluation function Quantification: Wherein the method comprises the steps of Expressed in the target angle The array peak gain below reflects the signal enhancement capability of the system in that direction; Representing the highest side lobe level, wherein lower side lobe level means smaller signal interference and stronger system anti-interference performance; Representing main lobe peak pointing and target angle For measuring the accuracy of beam pointing; The calculation formula is as follows, which is the weighted phase error term between the static pre-coding phase matrix and the ideal phase distribution: In the middle of For the static precoding phase of the i-th super-surface unit, For a reference ideal phase based on all scan target angle statistics, The method comprises the steps of determining a unit turnover probability map, wherein the unit turnover probability map is a weight coefficient related to the ith unit turnover probability, alpha, beta and gamma are preset fixed weight coefficients, the weight ratio of the three indexes of gain, side lobe and pointing precision are respectively corresponding, eta is an adaptive penalty weight related to the turnover probability map, and the weight can dynamically adjust an optimization strategy according to the phase turnover statistical characteristics of each unit.
  6. 6. The integrated system for sense of general motion based on mixed pre-coding fabric architecture of claim 1, wherein the controller MCU, beam forming, employs mixed pre-coding beam control techniques comprising obtaining a static pre-coding phase matrix solidified in the array of super surface cells using a statistically driven differential evolutionary algorithm, pointing to a target beam angle Calculating dynamic column control vectors by using a greedy algorithm, calculating residual errors of ideal phase distribution when the whole column is overturned or not overturned on the basis of a static precoding phase matrix seed for each column, selecting a state with small residual errors as a control value of the column, combining a final static precoding phase matrix obtained by optimization with the dynamic column control vectors calculated by using the greedy algorithm based on superposition of the static precoding phase matrix, generating a final real-time beam scanning phase matrix, and driving the ultra-surface unit array through the column control network.
  7. 7. The integrated ventilation system based on hybrid pre-coded fabric architecture of claim 1, wherein the reconfigurable smart surface array is integrated on a flexible textile substrate comprised of a textile material with a relative dielectric constant From 1.2 to 1.5, the loss tangent tan delta is less than 0.005.
  8. 8. A method for implementing a ventilation integrated system based on a hybrid pre-coding fabric architecture, which is used for implementing the ventilation integrated system based on a hybrid pre-coding fabric architecture according to any one of claims 1-7, and comprises the following steps: S1, generating a static precoding phase matrix through optimization based on a hybrid precoding architecture differential evolutionary algorithm based on statistical phase requirements of a feed source in a preset scanning target angle range The static precoding phase matrix The conformal reflecting surface is used for pre-compensating the spherical wave front generated by the feed source or the deformation of the flexible substrate, and the fixed phase aberration is required between target angles required by beam scanning; S2, the static pre-coding phase matrix A default phase state stored as a super surface unit; s3, aiming at a target beam pointing angle Calculating a dynamic column control vector C using a greedy algorithm, each element of the dynamic column control vector C corresponding to a column of the array of subsurface cells, having a value of 0 or 1, indicating whether the column applies additional pi phase flip; s4, the static pre-coding phase matrix Combining the dynamic column control vector C calculated by using a greedy algorithm based on superposition of the static precoding phase matrix to generate a final real-time beam scanning phase matrix And controlling each metasurface unit on the reconfigurable intelligent surface accordingly.
  9. 9. The method for implementing a motion sensing integrated system based on a hybrid pre-coded fabric architecture according to claim 8, wherein the step S3 specifically includes, for each column n in the super surface unit array, calculating a residual error_n of the column with ideal phase distribution when pi phase inversion is applied or not applied, i.e., k=0 or k=1, and selecting a state k minimizing the residual error_n as a dynamic control value Cn of the column, wherein the calculation formula is as follows: Wherein, the Is the nth column of the static precoding phase matrix, Is the target angle An nth column of the corresponding ideal phase profile.
  10. 10. A method of operation of a hybrid precoding fabric architecture based on a sense of general integration system, for implementing the hybrid precoding fabric architecture based on a sense of general integration system of claim 6, comprising: in the communication working mode, aiming at a determined communication user direction, a fixed dynamic column control vector is generated through the mixed pre-coding beam control technology, the super-surface unit array is driven to form a beam which stably points to a communication target, the system is configured in the communication mode, the beam is precisely pointed to the communication target through the mixed pre-coding beam control technology, a communication link is established or maintained, in the sensing working mode, aiming at a preset sensing scanning target angle sequence or scanning area, the mixed pre-coding beam control technology is executed, the super-surface unit array is driven to sequentially form a series of scanning beams which point to different directions to sequentially scan each scanning target angle in the sequence, echo signals reflected by an external feed source receiving environment are cooperated, and the integrated cooperative work of communication and sensing functions is realized through time division multiplexing.

Description

Universal sensing integrated system and method based on hybrid pre-coding fabric framework Technical Field The invention relates to the technical field of wireless communication and intelligent perception, in particular to a technology for combining a Reconfigurable Intelligent Surface (RIS) with an intelligent fabric, and specifically relates to an intelligent surface integrated with communication and perception integrated functions and based on a hybrid precoding fabric architecture and a control method thereof. The technology aims to provide a low-cost, high-performance and seamless integrated environment intelligent platform for intelligent home, environment monitoring, active security and other scenes. Background The Reconfigurable Intelligent Surface (RIS), also called metamaterial surface, has received a lot of attention in the communication field because it can intelligently regulate and control electromagnetic wave propagation in a low-power consumption and low-cost way, and realize functions such as beam forming, abnormal reflection and focusing. Conventional active phased arrays, while superior in performance, have limited their large-scale commercial deployment due to their expensive phase shifters and high power consumption. Most current RIS implementations rely on conventional rigid Printed Circuit Board (PCB) substrates. This rigid form makes it difficult to conformally integrate with everyday environments (e.g., furniture, walls, floors) or the human body, limiting its application potential in emerging fields of environmental intelligence, wearable devices, etc. In terms of physical implementation, a 1-bit RIS greatly reduces the complexity and cost of the super-surface unit structure because it requires only two phase states (e.g., 0 ° and 180 °). In practice, however, RIS is typically non-uniformly illuminated by a single feed, which can result in a spherical wavefront introducing severe phase aberrations over the RIS aperture. The inherent phase mismatch and the discrete phase error generated by 1-bit quantization are mutually overlapped, so that the problems of beam pointing deviation, side lobe level rise and the like are jointly caused, and the communication performance of the system in wide target angle scanning is severely restricted. Existing control schemes typically require independent control of the cells of each of the subsurface cell arrays, i.e., for an mxn RIS array, mxn dc control lines and complex wiring networks are required, which significantly increases the complexity, cost, and power consumption of the hardware system. Providing independent dc bias for each of the subsurface units requires a complex wiring network or multi-layer via process, which not only increases manufacturing costs and assembly difficulties, but may introduce parasitic effects that interfere with radio frequency performance. For large area flexible substrates, conventional independent wiring schemes are almost impossible. Beam steering of a 1-bit reconfigurable intelligent surface is a high-dimensional, discrete, non-convex optimization problem at the algorithm level. The traditional mathematical optimization method has high computational complexity, and the heuristic algorithm is slow to converge in a high-dimensional search space, so that the real-time dynamic control requirement is difficult to meet. Current wireless communication and wireless sensing (e.g., radar) are typically two separate systems. Communication systems focus on high throughput and reliable data transmission, while sensing systems focus on high accuracy target detection, localization and imaging. This split architecture results in redundancy of hardware resources, competition for spectrum resources, and complexity of system integration. Although the academic world has begun to explore the potential of RIS in the sensing field, most of the related art focuses on optimization of a single function, and lacks an integrated hardware platform capable of integrating communication and sensing dual functions with high efficiency and working stably in a complex environment. The prior art still faces significant challenges in achieving high performance, multi-functional, and environmentally conformal smart surfaces. In summary, the prior art has three challenges in realizing a high-performance, multifunctional and environment-conformal intelligent surface, namely, a lack of efficient schemes for form fusion and function integration, a hardware manufacturing difficulty in realizing a large-scale array on a flexible substrate, and a lack of a low-complexity and high-performance control algorithm with real-time requirements. These drawbacks limit the application of this technology in smart homes, healthcare, etc. scenarios where there are stringent requirements for morphology, functionality, and performance. Therefore, the core technical problem to be solved by the invention is how to design a flexible reconfigurable intelligent surface syst