A GNSS enhancement antenna

Abstract

The invention relates to the technical field of active GNSS positioning antennas, and discloses a GNSS enhanced antenna, comprising a GNSS antenna, which comprises a radio frequency module and a baseband module. The GNSS antenna is used to receive satellite radio frequency signals and convert them into baseband signals, and extract satellite navigation data in the baseband signals. The multipath optimization module comprises a multipath optimization unit, a multipath estimation unit and an estimation optimization model. The multipath optimization unit is used to detect and estimate multipath components in the received baseband signals, determine the number and strength of the multipaths, and the baseband signal of only one path in the series path is used as the optimal path. The estimation optimization model is used to optimize the baseband signal operator landing point, thereby reducing the multipath error and improving the positioning accuracy.

Description

Technical Field

[0001] The invention relates to the technical field of active GNSS positioning antennas and discloses a GNSS enhanced antenna. Background Art

[0002] Electronic products such as mobile phones and tablets are limited by their size. They do not have independent positioning antennas or their positioning antennas are very small. There are no independent chips for the RF and baseband related to the positioning circuit, which results in their relatively poor satellite search capabilities. In real-world usage scenarios, for example, when using mobile phone navigation while driving a vehicle, the positioning antennas of electronic products are often partially blocked, which further reduces the number of satellites they can search for. The current GNSS positioning antennas only have radio signal reception functions, and use coaxial cables to transmit analog signals to GNSS positioning devices. The antenna interfaces are generally SMA, TNC, BNC, FAKRA and other interfaces, which cannot be used by electronic products such as mobile phones and tablets. Secondly, GNSS signals not only reach the receiver antenna directly from the satellite, but may also reach the receiver after being reflected by the surrounding environment. The signals on these additional paths will be superimposed on the direct signals, resulting in increased receiver measurement errors, thereby affecting positioning accuracy.

[0003] For example, the existing Chinese patent with the authorization publication number CN114509792B discloses a high-precision GNSS mobile application enhanced positioning system and its working method, including an external GNSS module and a mobile device connected to the external GNSS module by Bluetooth, the mobile device is installed with positioning assistance software and mobile applications, the positioning assistance software is used to connect to the CORS server, and receive and send data to the CORS server; the external GNSS module includes a shell, the top of the shell is provided with a GNSS dual-frequency helical antenna and a switch button from back to front, the shell is provided with a positioning module, a single-chip microcomputer, a battery, a wireless charging module, a Bluetooth module, a SIM card slot and an SMA signal adapter located directly below the GNSS dual-frequency helical antenna, the Bluetooth module is connected to a Bluetooth antenna located outside the shell, and the SMA signal adapter passes through the shell and is connected to the GNSS dual-frequency helical antenna; the front side of the shell is provided with a mounting sleeve for being put on a mobile phone. The invention can reliably transmit the location, accuracy, and status information of the external GNSS module to the mobile application, the mobile application code modification amount is small, and the high-precision location service runs stably.

[0004] However, the above patent has the following problems: the accuracy and anti-interference ability of the GNSS module may be affected by the external environment, and the parameters cannot be adaptively adjusted according to environmental changes. Secondly, the signal reception is not processed and the optimal path is not found. The accuracy is only improved by hardware, which is difficult to meet the current intelligent and automated signal collection, and it is impossible to judge the strength and accuracy of the signal. Summary of the invention

[0005] In order to solve the above technical problems, the main purpose of the present invention is to provide a GNSS enhancement antenna, comprising:

[0006] GNSS antenna;

[0007] The GNSS antenna is used to receive weak radio frequency signals from satellites and convert the radio frequency signals into baseband signals, and extract satellite navigation data from the baseband signals;

[0008] A multi-path optimization module, including a multi-path optimization unit, a multi-path estimation unit and an estimation optimization model;

[0009] The multipath optimization unit is used to detect and estimate the multipath components in the received baseband signal and determine the number and strength of the multipaths;

[0010] The estimation optimization model is used to optimize the baseband signal operator positioning.

[0011] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0012] The GNSS antenna includes a radio frequency module and a baseband module;

[0013] The radio frequency module includes a GNSS radio frequency chip and a filtering unit, a frequency conversion unit and a frequency adjustment unit;

[0014] The baseband module is composed of a baseband selection unit, a GNSS baseband chip and peripheral components thereof.

[0015] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0016] The GNSS radio frequency chip is used to provide signal reception, processing and positioning functions;

[0017] The filtering unit is used to suppress unnecessary frequency components of the radio frequency signal and reduce interference;

[0018] The filtering unit dynamically adjusts the filter coefficients through an adaptive filtering model to adapt to the unnecessary frequency components caused by environmental changes;

[0019] The frequency conversion unit is used to perform frequency conversion on the received radio frequency signal;

[0020] The frequency adjustment unit is used to stabilize and adjust the frequency to improve the accuracy and stability of the radio frequency signal.

[0021] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0022] The adaptive filtering model calculation expression is as follows:

[0023] ;

[0024] in, is the filter coefficient, is the input RF signal, is the filtered signal, is the total order of the filter. is the number of RF signal groups, γ is the filter order;

[0025] Update the filter coefficients, and the update calculation expression is:

[0026] ;

[0027] in, is the step size factor, is the error between the filter output and the desired signal, is the updated value of the filter coefficient.

[0028] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0029] The multi-path optimization unit includes a direct path model, a parallel path estimation model and an operator point optimization algorithm;

[0030] The direct path model is used to obtain a baseband signal having only one path, and obtain an optimal path;

[0031] The parallel path estimation model establishes a baseband signal state matrix through a baseband signal flow equation, converts the baseband signal state matrix into a characteristic polynomial, calculates the characteristic roots of the characteristic polynomial, establishes a baseband signal transmission operator through the characteristic roots, and simulates the baseband signal flow path through the baseband signal transmission operator to find the optimal path.

[0032] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0033] The baseband signal flow equation calculation expression is as follows:

[0034] ;

[0035] in, is the baseband signal strength coefficient of the first path at time t, is the baseband signal value at time t, is the baseband signal strength coefficient of the first path at time t+1, is the baseband signal value at time t+1, is the baseband signal strength coefficient of the first path at time t+i, is the baseband signal value at time t+i, is the baseband signal strength coefficient of the second path at time t, b i is the baseband signal strength coefficient of the second path at time t+i, is the baseband signal strength coefficient of the nth path at the tth moment, n i is the baseband signal strength coefficient of the nth path at time t+i, is the baseband signal strength of the first path from time t to time t+i, is the baseband signal strength of the second path from time t to time t+i, is the baseband signal strength of the nth path from time t to time t+i, n is the number of paths for signal transmission, and t is the time sequence.

[0036] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0037] The baseband signal state matrix equation is shown below:

[0038] ;

[0039] Wherein, B is the multipath baseband signal strength matrix, F is the signal value from time t to t+i, and Z is the baseband signal strength;

[0040] The baseband signal characteristic polynomial calculation expression is as follows:

[0041] ;

[0042] in, is the characteristic root of the baseband signal strength coefficient of different paths, and E is the unit matrix.

[0043] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0044] The calculation expression of the baseband signal characteristic polynomial matrix form is as follows:

[0045] ;

[0046] in, is the characteristic root, Characteristic root The corresponding eigenvector, is the eigenvector matrix strength coefficient, and j is the eigenroot order.

[0047] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0048] The baseband signal transmission operator, the calculation expression is as follows:

[0049] ;

[0050] in, is the baseband signal flow graph simulation function, is the baseband signal operator, is the first characteristic root, is the cth characteristic root, is the operator point of the first path of baseband signal transmission, The operator point for the second path of baseband signal transmission, It is the operator starting point of the c-th path for baseband signal transmission.

[0051] As a preferred solution of a GNSS enhancement antenna of the present invention, wherein:

[0052] The estimation optimization model uses the baseband signal flow graph simulation function to judge the baseband signal strength calculated by the parallel path estimation model. If the baseband signal flow graph path is the shortest and the baseband signal strength calculated by substituting into the baseband signal flow equation is the largest, then the new baseband signal operator point covers the original baseband signal operator point. The calculation expression of the estimation optimization model is as follows:

[0053] ;

[0054] in, is the baseband signal strength calculated by the new baseband signal operator, is the baseband signal strength calculated by the original baseband signal operator, is the updated baseband signal operator point, is the baseband signal operator point, is the random offset of the baseband signal.

[0055] Beneficial effects of the present invention:

[0056] Designing antennas with specific radiation patterns can reduce signal interference from undesired directions and improve the quality of direct path signals. By dynamically adjusting the filter coefficients, multipath signals and other interference can be better suppressed to improve signal quality. The filter parameters can be automatically adjusted according to environmental changes so that the receiver can maintain good performance under different conditions. By analyzing the time series of the signal, the multipath estimation unit can accurately calculate the delay of the multipath signal and provide a basis for subsequent corrections. The multipath optimization unit can optimize the signal processing process, reduce multipath errors, and improve positioning accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0058] Figure 1 A system composition diagram of a GNSS enhancement antenna according to the present invention;

[0059] Figure 2 A flow chart of a multi-path optimization unit of a GNSS enhanced antenna of the present invention processing received satellite signals;

[0060] Figure 3 A topological diagram of a GNSS enhancement antenna of the present invention;

[0061] Figure 4 This is a simulation diagram of a multi-path optimization baseband signal transmission operator of a GNSS enhanced antenna of the present invention.

[0062] Figure numerals: 1. GNSS antenna; 2. SAW filter circuit; 3. RF circuit; 4. Baseband circuit; 5. Bluetooth module; 6. Bluetooth antenna; 7. Power supply. DETAILED DESCRIPTION

[0063] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0064] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0065] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0066] Embodiment 1

[0067] like Figure 1 As shown, a GNSS enhancement antenna includes:

[0068] Energy supply module, including a power management unit and an energy supply unit;

[0069] The power management unit includes DC-DC converter, power supply voltage regulation, energy supply unit management, power supply monitoring and energy optimization;

[0070] Furthermore, the DC-DC converter converts the input voltage into a desired stable output voltage through DC-DC conversion, for example, reducing the high voltage battery voltage to a low voltage for module operation.

[0071] Power supply regulation uses low noise regulators to ensure stable voltage to meet the needs of sensitive electronic components.

[0072] The battery management unit is equipped with a battery management system to monitor the battery's charge, temperature and health to avoid overcharging or over-discharging;

[0073] Power supply monitoring enables real-time current and voltage monitoring for dynamic adjustment of power consumption and fault diagnosis.

[0074] Energy Optimization implements energy-saving modes and dynamic power adjustment features to reduce power consumption during low loads and improve overall system energy efficiency.

[0075] The energy supply unit uses a high-capacity lithium battery to support long-term operation and is equipped with a charging management circuit.

[0076] GNSS antenna; the GNSS antenna includes a radio frequency module and a baseband module;

[0077] GNSS antennas are used to receive weak radio frequency signals from satellites and convert them into satellite navigation data, which are then transmitted to electronic devices via Bluetooth;

[0078] Among them, the GNSS antenna includes a sheet antenna and a low noise amplifier;

[0079] Furthermore, the patch antenna is integrated into a portable device, is small in size, and is easy to manufacture;

[0080] The low noise amplifier enhances the signal receiving capability and improves the positioning accuracy by adjusting the low noise coefficient. The low noise amplifier is used to improve the signal receiving sensitivity;

[0081] GNSS frequency bands include: GPS L1: 1.57542 GHz; GPS L2: 1.2276 GHz; GLONASS L1: 1.602GHz; GLONASS L2: 1.246 GHz; Galileo E1: 1.57542 GHz; Galileo E5: 1.192 GHz; BeidouB1: 1.561 GHz; Beidou B2: 1.207 GHz;

[0082] Radio frequency module, including GNSS radio frequency chip and filter unit, frequency conversion unit and frequency adjustment unit;

[0083] Among them, the GNSS radio frequency chip is used to provide radio frequency signal reception, processing and positioning functions. Furthermore, the GNSS radio frequency chip needs to select a suitable GNSS radio frequency chip, such as Qualcomm's Snapdragon 865 with integrated GNSS function, or the high-precision u-blox M8 series chip;

[0084] The filter unit is used to suppress unnecessary frequency components of the RF signal and reduce interference;

[0085] The filter unit dynamically adjusts the filter coefficients through an adaptive filter model to adapt to the unwanted frequency components caused by environmental changes;

[0086] The calculation expression of the adaptive filtering model is as follows:

[0087] ;

[0088] in, is the filter coefficient, is the input RF signal, is the filtered signal, is the total order of the filter. is the number of RF signal groups, γ is the filter order;

[0089] Update the filter coefficients, and the update calculation expression is:

[0090] ;

[0091] in, is the step size factor, is the error between the filter output and the desired signal; is the updated value of the filter coefficient.

[0092] The frequency conversion unit is used to convert the high frequency signal of the received radio frequency signal into an intermediate frequency;

[0093] The frequency conversion unit includes a mixer and a local oscillator, wherein the mixer is used to mix the input signal with the local oscillator signal to generate an intermediate frequency signal, and the local oscillator generates a stable frequency signal for the mixing process;

[0094] The frequency adjustment unit is used to stabilize and adjust the frequency to improve the accuracy and stability of the radio frequency signal;

[0095] The frequency adjustment unit includes an adjustable frequency synthesizer and a crystal oscillator, wherein the adjustable frequency synthesizer is used to provide a stable local oscillation signal, and the crystal oscillator is used to provide a high-precision reference frequency signal;

[0096] The RF module converts the processed RF signal into a baseband signal and transmits it to the baseband module;

[0097] Baseband module, including baseband selection unit, GNSS baseband chip and its peripheral components;

[0098] The baseband selection unit is used to determine whether the baseband signal needs to be processed by the GNSS chip. If the CPU computing power is insufficient, the baseband signal needs to be demodulated by the baseband module to extract navigation data, such as satellite orbit parameters, time information, etc., so it is necessary to access the baseband module; if the CPU computing power is sufficient, the baseband module is not connected, the baseband signal is input to the CPU, and the baseband signal is soft-decoded by the CPU;

[0099] Peripheral components include memory, power management, and decoupling circuits;

[0100] Further, the memory includes RAM and flash memory for storing programs and data;

[0101] Power management is used to monitor and manage the power consumption of the chip;

[0102] Decoupling circuit is used to reduce the weak noise generated by the baseband module to ensure stability;

[0103] A multi-path optimization module, including a multi-path optimization unit, a multi-path estimation unit and an estimation optimization model;

[0104] like Figure 2 As shown, the process of the multi-path optimization unit processing the received satellite signal includes:

[0105] S101, GNSS receiving signal;

[0106] S102, adaptive filtering processing;

[0107] S103, a multi-path optimization unit optimizes the optimal signal path;

[0108] S104, signal synthesis;

[0109] S105, signal positioning conversion;

[0110] S106, output of positioning result;

[0111] The multipath optimization unit is used to detect and estimate the multipath components in the received baseband signal and determine the number and strength of the multipaths;

[0112] The multi-path optimization unit includes a direct path model, a parallel path estimation model and an operator point optimization algorithm;

[0113] The multipath component filters the baseband signal through a filter, and the filtered baseband signal path includes a direct path and a parallel path;

[0114] If the amplitude and frequency of continuous baseband signals are the same at the same timestamp, and the filter channel has only one set of baseband signals, then the filter enters the direct path and calculates the baseband signal path through the direct path. Otherwise, the filter enters the parallel path and estimates the optimal path of the baseband signal through the parallel path.

[0115] The direct path is the path corresponding to the baseband signal with only one path, which is taken as the optimal path;

[0116] The multipath estimation unit is used to estimate the number and strength of the baseband signal propagation paths;

[0117] The parallel path estimation model establishes a baseband signal state matrix through a baseband signal flow equation, and converts the baseband signal state matrix into a baseband signal characteristic polynomial, calculates the characteristic root of the baseband signal characteristic polynomial, establishes a baseband signal transmission operator through the characteristic root, and simulates the baseband signal flow path through the baseband signal transmission operator to find the optimal path;

[0118] The GNSS enhanced antenna further comprises a communication module, which comprises a Bluetooth unit and a Bluetooth antenna;

[0119] The Bluetooth unit and the Bluetooth antenna are used to send digital baseband signals or navigation data to electronic devices.

[0120] Embodiment 2

[0121] Based on the first embodiment, the baseband signal flow equation calculation expression is as follows:

[0122] ;

[0123] in, is the baseband signal strength coefficient of the first path at time t, is the baseband signal value at time t, is the baseband signal strength coefficient of the first path at time t+1, is the baseband signal value at time t+1, is the baseband signal strength coefficient of the first path at time t+i, is the baseband signal value at time t+i, is the baseband signal strength coefficient of the second path at time t, b i is the baseband signal strength coefficient of the second path at time t+i, is the baseband signal strength coefficient of the nth path at the tth moment, n i is the baseband signal strength coefficient of the nth path at time t+i, is the baseband signal strength of the first path from time t to time t+i, is the baseband signal strength of the second path from time t to time t+i, is the baseband signal strength of the nth path from time t to time t+i, where n is the number of paths for signal transmission and t is the time sequence;

[0124] The baseband signal state matrix equation is shown below:

[0125] ;

[0126] Wherein, B is the multipath baseband signal strength matrix, F is the signal value from time t to t+i, and Z is the baseband signal strength;

[0127] Furthermore, , , ;

[0128] Available, ;

[0129] The characteristic root calculation expression is as follows:

[0130] ;

[0131] in, is the characteristic root of the baseband signal strength coefficient of different paths;

[0132] The eigenvector is calculated through the eigenroot, and the variance of the eigenvector reflects the influence of different paths of the baseband signal at the same timestamp on the baseband signal strength;

[0133] The baseband signal characteristic polynomial calculation expression is as follows:

[0134] ;

[0135] in, is the characteristic root, Characteristic root The corresponding eigenvector, is the eigenvector matrix strength coefficient, j is the eigenroot order;

[0136] The baseband signal transmission operator, the calculation expression is as follows:

[0137] ;

[0138] in, is the baseband signal flow graph simulation function, is the baseband signal operator, is the first characteristic root, is the cth characteristic root, is the operator point of the first path of baseband signal transmission, The operator point for the second path of baseband signal transmission, The operator point for baseband signal transmission path c;

[0139] like Figure 4 As shown, the baseband signal flow graph simulation function simulates the transmission paths of three baseband signals, namely R1, R2, and R3;

[0140] Furthermore, the R1 path is the transmission path of the baseband signal and is finally transmitted to A5 via A0, A1, B1, B2, A4;

[0141] Path R2 is the transmission path of the baseband signal, which passes through A0, A1, A2, A3, A4 and finally reaches A5;

[0142] The R3 path is the transmission path of the baseband signal, which passes through A0, A1, A2, C1, C2, A4 and finally is transmitted to A5;

[0143] The baseband signal flow graph simulation function is used to simulate the transmission path of the baseband signal to generate a flow graph;

[0144] The baseband signal operator is the baseband signal focus point;

[0145] Furthermore, the baseband signal is located at Figure 4 Among them, they are A0, A1, A2, A3, A4, A5, B1, B2, C1, C2;

[0146] Further, the multipath estimation unit includes a baseband signal receiver, a baseband signal conditioner and a path estimation model;

[0147] The estimation optimization model uses the baseband signal flow graph simulation function to judge the baseband signal strength calculated by the parallel path estimation model. If the baseband signal flow graph path is the shortest and the baseband signal strength calculated by substituting into the baseband signal flow equation is the largest, then the new baseband signal operator point covers the original baseband signal operator point. The calculation expression of the estimation optimization model is as follows:

[0148] ;

[0149] in, is the baseband signal strength calculated by the new baseband signal operator, is the baseband signal strength calculated by the original baseband signal operator, is the updated baseband signal operator point, is the baseband signal operator point, is the random offset of the baseband signal.

[0150] Furthermore, .

[0151] Embodiment 3

[0152] like Figure 3 As shown, ANT is the GNSS antenna, SAW is the SAW filter circuit, GNSS RF is the GNSS radio frequency circuit, GNSSBB is the GNSS baseband circuit, and POWER is the power supply;

[0153] The GNSS enhanced antenna comprises: a GNSS antenna 1; a SAW filter circuit 2; a radio frequency circuit 3; a baseband circuit 4; a Bluetooth module 5; a Bluetooth antenna 6; and a power supply 7.

[0154] GNSS antenna 1 is responsible for receiving radio frequency signals from satellites (such as GPS, Beidou, etc.); SAW filter circuit 2 is responsible for filtering out irrelevant other radio signals (such as base stations, WiFi, Bluetooth, etc.); radio frequency circuit 3 is mainly composed of GNSS radio frequency chip and its peripheral components, responsible for signal reception amplification, filtering, frequency conversion and demodulation, and converting it into a digital baseband signal; baseband circuit 4 is mainly composed of GNSS baseband chip and its peripheral components, responsible for demodulating the baseband signal to extract navigation data, such as satellite orbit parameters, time information, etc. The baseband circuit 4 is not necessary. If the CPU computing power of the electronic device is sufficient, it can be soft-decoded; Bluetooth module 5 and Bluetooth antenna 6 are responsible for sending digital baseband signals or navigation data to the electronic device, and power supply 7 is responsible for powering the entire circuit. Since the power consumption of GNSS radio frequency chip, Bluetooth module 5, etc. is very low, solar cells or lithium batteries can be used for power supply.

[0155] It is important to note that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only two embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible, for example, the size, scale, structure, shape and ratio of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc., without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. Any "device plus function" clause is intended to cover the structure of the execution function described in this article, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiment. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0156] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention).

[0157] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

[0158] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A GNSS enhancement antenna, characterized in that: include: GNSS antenna; The GNSS antenna is used to receive satellite radio frequency signals and convert the radio frequency signals into baseband signals, and extract satellite navigation data from the baseband signals; A multi-path optimization module, including a multi-path optimization unit, a multi-path estimation unit and an estimation optimization model; The multi-path optimization unit includes a direct path model, a parallel path estimation model and an operator point optimization algorithm; The direct path model is used to obtain a baseband signal having only one path, and obtain an optimal path; The parallel path estimation model establishes a baseband signal state matrix through a baseband signal flow equation, converts the baseband signal state matrix into a baseband signal characteristic polynomial, calculates characteristic roots of the baseband signal characteristic polynomial, establishes a baseband signal transmission operator through the characteristic roots, and simulates the baseband signal flow path through the baseband signal transmission operator to find the optimal path; The estimation optimization model uses the baseband signal flow graph simulation function to judge the baseband signal strength calculated by the parallel path estimation model. If the baseband signal flow graph path is the shortest and the baseband signal strength calculated by substituting into the baseband signal flow equation is the largest, then the new baseband signal operator point covers the original baseband signal operator point. The calculation expression of the estimation optimization model is as follows: ； in, is the baseband signal strength calculated by the new baseband signal operator, is the baseband signal strength calculated by the original baseband signal operator, is the updated baseband signal operator point, is the baseband signal operator point, is the random offset of the baseband signal; The multipath optimization unit is used to detect and estimate the multipath components in the received baseband signal and determine the number and strength of the multipaths; The estimation optimization model is used to optimize the baseband signal operator positioning.

2. A GNSS enhancement antenna according to claim 1, characterized in that: The GNSS antenna includes a radio frequency module and a baseband module; The radio frequency module includes a GNSS radio frequency chip and a filtering unit, a frequency conversion unit and a frequency adjustment unit; The baseband module includes a baseband selection unit, a GNSS baseband chip and peripheral components thereof.

3. A GNSS enhancement antenna according to claim 2, characterized in that: The GNSS radio frequency chip is used to receive radio frequency signals and process the signals; The filtering unit is used to suppress unnecessary frequencies of the radio frequency signal; The filtering unit dynamically adjusts the filter coefficients through an adaptive filtering model to adapt to environmental changes; The frequency conversion unit is used to perform frequency conversion on the received radio frequency signal; The frequency adjustment unit is used to stabilize and adjust the frequency.

4. The GNSS enhancement antenna according to claim 3, characterized in that: The adaptive filtering model calculation expression is as follows: ； in, is the filter coefficient, is the input RF signal, is the filtered signal, is the total order of filtering, is the number of RF signal groups, γ is the filter order; Update the filter coefficients, and the update calculation expression is: ； in, is the step size factor, is the error between the filter output and the desired signal, is the updated value of the filter coefficient.

5. The GNSS enhancement antenna according to claim 4, characterized in that: The baseband signal flow equation calculation expression is as follows: ； in, is the baseband signal strength coefficient of the first path at time t, is the baseband signal value at time t, is the baseband signal strength coefficient of the first path at time t+1, is the baseband signal value at time t+1, is the baseband signal strength coefficient of the first path at time t+i, is the baseband signal value at time t+i, is the baseband signal strength coefficient of the second path at time t, b i is the baseband signal strength coefficient of the second path at time t+i, is the baseband signal strength coefficient of the nth path at the tth moment, n i is the baseband signal strength coefficient of the nth path at time t+i, is the baseband signal strength of the first path from time t to time t+i, is the baseband signal strength of the second path from time t to time t+i, is the baseband signal strength of the nth path from time t to time t+i, n is the number of paths for signal transmission, and t is the time sequence.

6. A GNSS enhancement antenna according to claim 5, characterized in that: The baseband signal state matrix equation is as follows: ； Wherein, B is the multipath baseband signal strength matrix, F is the signal value from time t to t+i, and Z is the baseband signal strength; The baseband signal characteristic polynomial calculation expression is as follows: ； in, is the characteristic root of the baseband signal strength coefficient of different paths, and E is the unit matrix.

7. A GNSS enhancement antenna according to claim 6, characterized in that: The baseband signal characteristic polynomial matrix calculation expression is as follows: ； in, is the characteristic root, Characteristic root The corresponding eigenvector, is the eigenvector matrix strength coefficient, and j is the eigenroot order.

8. The GNSS enhancement antenna according to claim 7, characterized in that: The baseband signal transmission operator, the calculation expression is as follows: ； in, is the baseband signal flow graph simulation function, is the baseband signal operator, is the first characteristic root, is the cth characteristic root, is the operator point of the first path of baseband signal transmission, The operator point for the second path of baseband signal transmission, It is the operator starting point of the c-th path for baseband signal transmission.

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