Antenna switching method and device based on multi-dimensional signal detection, medium and equipment

Abstract

According to the antenna switching method and device based on multi-dimensional signal detection, the medium and the equipment, the scalar signal parameters and the vector signal parameters of the main antenna and the auxiliary antenna in the target equipment are determined respectively, and the target equipment is provided with the main antenna array and the auxiliary antenna array and can capture antenna signals from two receiving channels. And then a first performance index and a second performance index capable of comprehensively evaluating the performance of the main antenna and the auxiliary antenna are further determined from different parameter dimensions according to the scalar signal parameters and the vector signal parameters of the main antenna and the auxiliary antenna, so that the reliability of antenna performance evaluation is improved. And finally, detecting an environment scene where the target equipment is located, and dynamically switching the main antenna and the auxiliary antenna according to the environment scene, the first performance index and the second performance index, so that switching requirements of different environment scenes can be considered, and switching to another antenna with better signals can be realized by calculating the performance indexes of the main antenna and the auxiliary antenna when the performance of the current antenna is degraded. Therefore, positioning drift and positioning deviation caused by multipath effect and signal interruption can be effectively suppressed.

Description

Technical Field

[0001] This application relates to the field of antenna system technology, and in particular to an antenna switching method, apparatus, medium and device based on multi-dimensional signal detection. Background Technology

[0002] With the continuous iteration and upgrading of the performance of consumer electronics products, users have put forward higher requirements for the accuracy, security and convenience of GPS positioning performance and multi-scenario applications. The current mainstream GPS positioning solutions mainly rely on single antenna or L1+L5 dual-frequency positioning technology, which captures L1 band signals or L1 and L5 dual-band signals through a single receiving channel to achieve positioning function.

[0003] However, current GPS positioning solutions still use a single antenna radiating element. Although GPS performance at the hardware level has reached design standards, in actual use, due to the continuous influence of factors such as complex multipath interference, signal blockage, and dynamic motion, problems such as positioning drift and positioning deviation frequently occur, seriously affecting the reliability of positioning services and user experience. Summary of the Invention

[0004] The purpose of this application is to at least solve one of the aforementioned technical defects, particularly the technical defects in the prior art where, due to the continuous influence of factors such as complex multipath interference, signal obstruction, and dynamic motion states, problems such as positioning drift and positioning deviation still frequently occur, which seriously affect the reliability of positioning services and user experience.

[0005] In a first aspect, this application provides an antenna switching method based on multi-dimensional signal detection, the method comprising:

[0006] The target device is identified, and the target device is equipped with a main and secondary dual-antenna array;

[0007] Determine the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device, respectively;

[0008] Based on the scalar signal parameters and vector signal parameters of the main and secondary antennas, the first performance index corresponding to the main antenna and the second performance index corresponding to the secondary antenna are determined respectively.

[0009] The system detects the environmental scene in which the target device is located and dynamically switches the main and secondary antennas based on the environmental scene, the first performance indicator, and the second performance indicator.

[0010] In one embodiment, determining the scalar signal parameters and vector signal parameters of the main and sub-antennas in the target device includes:

[0011] Scalar and vector signals are acquired respectively to evaluate the signal performance of the main and secondary antennas in the target device;

[0012] Obtain a pre-set normalization rule, and perform normalization processing on the scalar signal and vector signal of the main antenna and the sub-antenna respectively according to the normalization rule to obtain the scalar signal parameters and vector signal parameters of the main antenna and the sub-antenna respectively.

[0013] The normalization rule includes multiple sub-rules, each of which is used to perform segmented scoring based on the value of the scalar signal or the vector signal.

[0014] In one embodiment, acquiring scalar and vector signals respectively for evaluating the signal performance of the primary and secondary antennas in the target device includes:

[0015] The carrier-to-noise ratio (CNR) and satellite visibility data of the main and secondary antennas in the target device are collected, and the CNR and satellite visibility data of the main and secondary antennas are smoothed and filtered.

[0016] The scalar signals of the main and secondary antennas are generated based on the carrier-to-noise ratio and the number of visible satellites obtained after smoothing and filtering.

[0017] The time-domain sampling data of the main and secondary antennas are collected, and the MUSIC algorithm is used to process the time-domain sampling data to obtain the elevation angle, azimuth angle and polarization purity of the main and secondary antennas.

[0018] The vector signals of the main and secondary antennas are generated based on the elevation angle, azimuth angle, and polarization purity of the main and secondary antennas.

[0019] In one embodiment, determining the first performance index corresponding to the main antenna and the second performance index corresponding to the sub-antenna based on the scalar signal parameters and vector signal parameters of the main and sub-antennas respectively includes:

[0020] The environmental scene in which the target device is located is detected, and the weights corresponding to the scalar signal parameters and vector signal parameters of the main and secondary antennas are determined based on the environmental scene.

[0021] The scalar signal parameter and the vector signal parameter of the main antenna are weighted and summed to obtain the first performance index of the main antenna.

[0022] The second performance index of the sub-antenna is obtained by weighting the scalar signal parameters and the vector signal parameters based on their corresponding weights.

[0023] In one embodiment, dynamically switching the primary and secondary antennas based on the environmental scenario, the first performance indicator, and the second performance indicator includes:

[0024] Obtain the first switching threshold, the second switching threshold, and the third switching threshold under the aforementioned environmental scenario;

[0025] If the antenna currently in use is the main antenna, calculate the difference between the second performance index and the first performance index, and use it as the target difference.

[0026] When the first performance indicator is less than the first switching threshold and the target difference is not less than the second switching threshold, switch to the secondary antenna;

[0027] The difference in the decrease of the first performance index at each preset time interval is detected;

[0028] When the difference in the decrease of the indicator is not less than the third switching threshold and the target difference is not less than the second switching threshold, the signal is switched to the secondary antenna.

[0029] In one embodiment, dynamically switching the primary and secondary antennas based on the environmental scenario, the first performance indicator, and the second performance indicator includes:

[0030] Obtain the first switching threshold, the second switching threshold, and the third switching threshold under the aforementioned environmental scenario;

[0031] If the antenna currently in use is a secondary antenna, calculate the difference between the first performance index and the second performance index, and use it as the target difference.

[0032] When the first performance indicator is greater than the first switching threshold and the target difference is not less than the second switching threshold, the switchback is made back to the main antenna.

[0033] The difference in the decrease of the second performance index at each preset time interval is detected;

[0034] When the difference in the decrease of the indicator is not less than the third switching threshold and the target difference is not less than the second switching threshold, the signal is switched back to the main antenna.

[0035] In one embodiment, the method further includes, before switching the primary and secondary antennas:

[0036] Obtain the hysteresis threshold under the described environmental scenario;

[0037] Determine whether the absolute value of the difference between the first performance index and the second performance index is not less than the hysteresis threshold. If so, perform the switching between the main and secondary antennas; otherwise, do not perform the switching between the main and secondary antennas.

[0038] In one embodiment, the method further includes:

[0039] The number of times the primary and secondary antenna switching occurs within a preset time interval is detected, and when the number exceeds the preset number, the hysteresis threshold under the environmental scenario is adjusted.

[0040] Secondly, this application provides an antenna switching device based on multi-dimensional signal detection, the device comprising:

[0041] A device determination module is used to determine a target device, wherein the target device is configured with a main and secondary dual-antenna array;

[0042] The parameter determination module is used to determine the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device, respectively.

[0043] The performance calculation module is used to determine the first performance index corresponding to the main antenna and the second performance index corresponding to the sub-antenna based on the scalar signal parameters and vector signal parameters of the main and sub-antennas, respectively.

[0044] The antenna switching module is used to detect the environmental scene where the target device is located, and dynamically switch the main and secondary antennas according to the environmental scene, the first performance index and the second performance index.

[0045] Thirdly, this application provides a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the antenna switching method based on multi-dimensional signal detection as described in any of the above embodiments.

[0046] Fourthly, this application provides a computer device, including: one or more processors, and a memory;

[0047] The memory stores computer-readable instructions, and when the one or more processors execute the computer-readable instructions, they perform the steps of the antenna switching method based on multi-dimensional signal detection as described in any of the above embodiments.

[0048] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:

[0049] The antenna switching method, apparatus, medium, and device based on multi-dimensional signal detection provided in this application first identify a target device equipped with a primary and secondary dual-antenna array, capable of capturing antenna signals from two receiving channels. Then, the scalar and vector signal parameters of the primary and secondary antennas in the target device are determined separately. Further, based on these parameters, a first performance index and a second performance index are determined from different parameter dimensions to comprehensively evaluate the performance of both the primary and secondary antennas, improving the comprehensiveness and reliability of antenna performance evaluation. Finally, the environmental scenario in which the target device is located is detected, and the primary and secondary antennas are dynamically switched according to the environmental scenario, the first performance index, and the second performance index. This approach considers the switching requirements of different environmental scenarios and, by detecting and calculating the performance indicators of the primary and secondary antennas, switches to the other antenna with a better signal when the current antenna performance degrades. This enhances the device's anti-interference and fault tolerance capabilities in complex real-world environments, improves positioning accuracy, and effectively suppresses positioning drift caused by multipath effects and signal discontinuity. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 An example diagram of an application device for an antenna switching method based on multi-dimensional signal detection provided in an embodiment of this application;

[0052] Figure 2 A flowchart illustrating an antenna switching method based on multi-dimensional signal detection provided in this application embodiment;

[0053] Figure 3 An example diagram illustrating the switching logic of an antenna switching method based on multi-dimensional signal detection, provided in an embodiment of this application;

[0054] Figure 4 Comparison chart of field test verification results provided in the embodiments of this application;

[0055] Figure 5 A schematic diagram of the structure of an antenna switching device based on multi-dimensional signal detection provided in an embodiment of this application;

[0056] Figure 6 This is an internal structural diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0057] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0058] In one embodiment, this application provides an antenna switching method based on multi-dimensional signal detection. The following embodiments illustrate the application of this method to a smart device. It is understood that the antenna switching method based on multi-dimensional signal detection can be implemented in a smart wearable device or a smart terminal device such as a mobile phone, and this application does not impose any specific limitations on it.

[0059] like Figure 1 As shown, taking the method provided in this application applied to a smart wearable device as an example, the smart wearable device includes a main antenna and a secondary antenna. The main antenna is located on the lower left side of the smart wearable device, on the crown side (8 o'clock position), close to the metal part of the crown, and uses the metal frame to extend the radiation edge, covering scenarios where the wrist is facing upwards (such as during movement). The antenna has high radiation efficiency and gain. The secondary antenna is located on the upper right side of the smart wearable device, on the back side (2 o'clock position), close to the strap connection, avoiding obstruction by the human wrist, and covering scenarios where the wrist is drooping / swinging. The antenna also has high radiation efficiency and gain. The two antennas are connected and switched via a switch, with a switch insertion loss of <0.5dB and an isolation of ≥15dB between the two antennas. Specifically, this can be achieved through orthogonal polarization and spatial separation, high isolation filtering technology, and an antenna spacing of ≥20mm between the crown side and the back side to reduce mutual coupling. In addition, the antenna type can be an IFA antenna, achieving circular polarization through orthogonal dual feed points. Furthermore, the antenna implementation can be in the form of a metal frame, LDS, FPC, etc., and this application does not impose specific limitations on this.

[0060] like Figure 2 As shown, this application provides an antenna switching method based on multi-dimensional signal detection, the method comprising:

[0061] S101: Identify the target device.

[0062] The target device is equipped with a main and secondary dual-antenna array, meaning that the target device includes a main antenna and a secondary antenna.

[0063] In this step, we first identify the device that meets the antenna switching requirements, i.e., the target device. Since the target device is equipped with both primary and secondary antennas, we can subsequently process the signals from the primary and secondary antennas acquired by the target device.

[0064] S102: Determine the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device, respectively.

[0065] Scalar signal parameters are signal attribute scores that can be characterized solely by amplitude values, reflecting the overall power or quality level of the signal. Vector signal parameters are signal attribute scores that include amplitude, phase, or direction information, reflecting more dimensional characteristics and spatial attributes of the signal.

[0066] In this step, the scalar and vector signals of the main and secondary antennas are first acquired, and then some preprocessing operations are performed. The preprocessed scalar and vector signals are then normalized to obtain the evaluation scores of each scalar signal and each vector signal, i.e., the scalar signal parameters and vector signal parameters.

[0067] Specifically, in determining the parameters of the scalar signal and the vector signal, normalization rules can be set to process the scalar signal and the vector signal to obtain their parameters. Alternatively, the parameters can be determined by constructing a mathematical model. This application does not impose specific limitations in this regard.

[0068] In one example, scalar signal parameters include, but are not limited to, carrier-to-noise ratio, received signal strength, and number of visible satellites, while vector signal parameters include, but are not limited to, elevation angle, azimuth angle, and polarization purity.

[0069] S103: Based on the scalar signal parameters and vector signal parameters of the main and secondary antennas, determine the first performance index corresponding to the main antenna and the second performance index corresponding to the secondary antenna, respectively.

[0070] The first performance index is used to comprehensively evaluate the antenna performance of the main antenna, and the second performance index is used to comprehensively evaluate the antenna performance of the sub-antenna.

[0071] In this step, after determining the scalar and vector signal parameters of the main and sub-antennas, the environmental scene of the target device can be detected. Then, based on this environmental scene, the adaptation weights are determined. This allows us to determine the weights corresponding to the scalar and vector signal parameters of the main and sub-antennas. Furthermore, based on this data, the first performance index of the main antenna and the second performance index of the sub-antenna are calculated. It can be understood that both the first and second performance indices are comprehensive performance indicators that can evaluate the performance of the main or sub-antenna from multiple dimensions.

[0072] S104: Detect the environmental scene where the target device is located, and dynamically switch between the main and secondary antennas based on the environmental scene, the first performance indicator, and the second performance indicator.

[0073] Among them, the environmental scene refers to the movement of the target device and the surrounding environment, which includes, but is not limited to, open scenes, occluded scenes, and movement scenes.

[0074] In this step, by detecting the environmental scene in which the target device is located, some switching thresholds can be determined based on the environmental scene, and then dynamic main and secondary antenna switching can be achieved by combining the first performance index and the second performance index.

[0075] Furthermore, when detecting the environmental scene of the target device, the environmental scene can be determined based on sensor data collected by various sensors installed in the target device, as well as a first performance index and a second performance index. These various sensors include, but are not limited to, gravity sensors, accelerometers, and gyroscopes. Specifically, the first and second performance indicators can be used to determine whether there is significant obstruction in the environment, while the sensor data can be used to determine whether the device is in motion. Ultimately, the environmental scene is determined based on these two assessments.

[0076] In the above embodiments, the target device is first identified. This target device is equipped with a primary and secondary dual-antenna array, which can capture antenna signals from two receiving channels. Then, the scalar signal parameters and vector signal parameters of the primary and secondary antennas in the target device are determined respectively. Further, based on these parameters, a first performance index and a second performance index are determined from different parameter dimensions to comprehensively evaluate the performance of the primary and secondary antennas, improving the comprehensiveness and reliability of antenna performance evaluation. Finally, the environmental scene in which the target device is located is detected, and the primary and secondary antennas are dynamically switched according to the environmental scene, the first performance index, and the second performance index. This considers the switching requirements of different environmental scenes, and by detecting and calculating the performance indicators of the primary and secondary antennas, the device can switch to the other antenna with a better signal when the current antenna performance degrades. This enhances the device's anti-interference and fault tolerance capabilities in complex real-world environments, improves positioning accuracy, and effectively suppresses positioning drift caused by multipath effects and signal discontinuity.

[0077] In one embodiment, the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device are determined, including:

[0078] S1: Acquire scalar and vector signals respectively for evaluating the signal performance of the main and secondary antennas in the target device.

[0079] S2: Obtain the pre-set normalization rules, and perform normalization processing on the scalar signals and vector signals of the main and sub-antennas respectively according to the normalization rules to obtain the scalar signal parameters and vector signal parameters of the main antenna and sub-antenna respectively.

[0080] The normalization rule includes multiple sub-rules, each used to score segments based on the numerical value of the scalar or vector signal. Each sub-rule corresponds one-to-one with the signal type.

[0081] In this embodiment, the scalar and vector signals of the primary and secondary antennas are acquired, and then the specific data of these signals are segmented and scored according to the corresponding sub-rules to obtain the scalar and vector signal parameters of the primary and secondary antennas, so as to calculate the performance index of the dual antennas based on this.

[0082] In one example, taking scalar signals including carrier-to-noise ratio and number of visible satellites, and vector signals including elevation angle, azimuth angle, and polarization purity, the corresponding normalization processing can be performed according to the following normalization rules (the scores obtained by the following rules are the scalar signal parameters or vector signal parameters):

[0083] (1) Carrier-to-noise ratio (CN0): This is a GPS signal strength indicator that can affect positioning accuracy. Its effective range is defined as 30 dB-Hz (weak signal) to 50 dB-Hz (strong signal). The corresponding sub-rule in the normalization rule can be expressed as:

[0084] When CN0 < 30, =0 points;

[0085] When 30≤CN0≤50, it is a valid signal. =(CN0-30) / (50-30)×100 points;

[0086] When CN0≥50 =100 points.

[0087] Example: When CN0=40, =50 points.

[0088] (2) Number of visible satellites (N): The more visible satellites, the higher the redundancy of the positioning solution (at least 4 satellites are required). The corresponding sub-rule in the normalization rule can be expressed as:

[0089] When N < 4, the location function is invalid. =0 points;

[0090] When 4 ≤ N ≤ 12, it is in the linear lifting region. =100 / 8(N-4) points;

[0091] When N > 12, it is in the saturation region. =100 points.

[0092] Example: When N=6 stones in the city canyon, =25 points; 100 points when N=12 stones are in open area.

[0093] (3) Elevation Angle (θ): Reduces low-elevation-angle multipath interference. When the elevation angle θ < 30°, it is considered a risk of multipath interference, and an attenuation weight is introduced. The larger the elevation angle θ (closer to the zenith), the less the signal is affected by obstruction / multipath, and the higher the weight. Input range: θ ∈ [0°, 90°] (where 0° = horizon, 90° = zenith). The corresponding sub-rule in the normalization rule can be expressed as:

[0094] When θ < 30°, it is a multipath risk zone. =0

[0095] When 30° ≤ θ ≤ 90°, it is in the linear lifting region.

[0096] When θ > 90°, it is the theoretical limit. =100

[0097] Example: 50 points are awarded when θ=60°; 100 points are awarded when θ=90°.

[0098] (4) Polarization Purity (P): Used to increase the proportion of direct signals. RHCP polarization is achieved through the superposition of 90° radiating elements, with a polarization purity ≥ 90% (refer to the 0dBi gain standard of an ideal RHCP antenna). Polarization purity can separate direct and reflected signals using the polarization MUSIC algorithm. When P ≥ 0.8, it is determined to be a valid direct signal. The higher the polarization purity P (0 ≤ P ≤ 1), the stronger the RHCP antenna's ability to receive satellite direct signals. The corresponding sub-rule in the normalization rule can be expressed as:

[0099] P norm =100×P

[0100] (5) Rate of change of azimuth ( ): Used to suppress jitter caused by rapid movement. The smaller the value, the more stable the signal direction, and the higher the result. Input range: Δφ∈[0°, 30° / s] (30° / s is the threshold for violent movement). Its corresponding sub-rule in the normalization rule can be expressed as:

[0101] when The region is considered stable when the velocity is ≤ 5° / s. =100

[0102] When 5° / s < The attenuation region is defined as ≤ 30° / s.

[0103] when When the speed is >30° / s, it is considered the jitter zone. =0

[0104] Example: walking 80 points are awarded when the speed is 10° / s; Running He scored 20 points.

[0105] In one embodiment, scalar and vector signals are acquired respectively for evaluating the signal performance of the main and secondary antennas in the target device, including:

[0106] S1: Collect the carrier-to-noise ratio (CNR) and satellite visibility data of the main and secondary antennas in the target device, and perform smoothing filtering on the CNR and satellite visibility data of the main and secondary antennas.

[0107] S2: Generate scalar signals for the main and secondary antennas based on the carrier-to-noise ratio and satellite visibility number obtained after smoothing and filtering.

[0108] S3: Collect time-domain sampling data of the main and secondary antennas, and process the time-domain sampling data using the MUSIC algorithm to obtain the elevation angle, azimuth angle and polarization purity of the main and secondary antennas.

[0109] S4: Generate vector signals for the main and secondary antennas based on their elevation angle, azimuth angle, and polarization purity.

[0110] Among them, time-domain sampling data refers to a series of numerical sequences obtained by discretizing the antenna signal at a fixed sampling interval on the time axis. The MUSIC (Multiple Signal Classification) algorithm is a high-resolution spatial spectrum estimation method based on eigenvalue decomposition. It first uses multi-channel time-domain sampling data collected by the array antenna at the same time to construct a covariance matrix, then performs eigenvalue decomposition on the matrix to separate the signal subspace corresponding to large eigenvalues ​​from the noise subspace corresponding to small eigenvalues, and finally achieves high-precision estimation of the direction of arrival of multiple sources by searching the spatial spectrum function (orthogonality between the noise subspace and the direction vector).

[0111] In this embodiment, on the one hand, the carrier-to-noise ratio and satellite visibility number of the primary and secondary antennas can be smoothed and filtered using a 500ms sliding window, and then scalar signals for the primary and secondary antennas are generated based on the smoothed and filtered data. On the other hand, the angle of arrival and elevation angle of the GPS satellites are estimated using the MUSIC algorithm, the incident elevation angle and azimuth angle of the signal are calculated, and the vector matching degree is calculated in conjunction with the antenna pattern. Finally, the elevation angle, azimuth angle, and polarization purity of the primary and secondary antennas can be determined.

[0112] Understandably, evaluating antenna performance by collecting multiple parameters in both scalar and vector dimensions ensures the comprehensiveness and reliability of the assessment, thereby guaranteeing the effectiveness of antenna switching.

[0113] In one embodiment, based on the scalar signal parameters and vector signal parameters of the main and sub-antennas, a first performance index corresponding to the main antenna and a second performance index corresponding to the sub-antenna are determined, including:

[0114] S1: Detect the environment in which the target device is located, and determine the weights of the scalar signal parameters and vector signal parameters of the main and secondary antennas based on the environment.

[0115] S2: Based on the weights corresponding to the scalar signal parameters and vector signal parameters of the main antenna, the scalar signal parameters and vector signal parameters are weighted and summed to obtain the first performance index corresponding to the main antenna.

[0116] S3: Based on the weights corresponding to the scalar signal parameters and vector signal parameters of the sub-antenna, the scalar signal parameters and vector signal parameters are weighted and summed to obtain the second performance index corresponding to the sub-antenna.

[0117] In this embodiment, the environmental scene in which the target device is located is detected to determine the matching weights based on different environmental scenes, that is, to determine the weights of the scalar signal parameters and vector signal parameters of the main and secondary antennas. Then, the scalar signal parameters and vector signal parameters of the main and secondary antennas can be weighted and summed to obtain the first performance index of the main antenna and the second performance index of the secondary antenna, and the switching judgment of the main and secondary antennas can be made based on the first performance index and the second performance index.

[0118] In one example, taking a scalar signal including carrier-to-noise ratio and satellite visibility, and a vector signal including elevation angle, azimuth angle, and polarization purity, the expression for weighted summation can be expressed as:

[0119]

[0120] in, The carrier-to-noise ratio is the normalized value. This is the normalized value of the number of visible satellites. The elevation angle is the normalized value. This is the normalized value of polarization purity. This is the normalized value of the azimuth rate of change. , , , , As weight.

[0121] An adaptive weighting mechanism can be used in the weight determination process, as shown below:

[0122] ① Open scene: ω1=0.4, ω2=0.25 (prioritize signal strength);

[0123] ②Occlusion scenarios (such as wrist occlusion, single-sided building occlusion, canyons, etc.): (ω3=0.3, ω4=0.3) (prioritize multipath resistance);

[0124] ③ In motion scenarios (e.g., user running with arm swing, acceleration > 1 m / s²): ω₅ = 0.25, compensating for the tilt angle deviation caused by arm swing. The IMU (Inertial Measurement Unit) integrates a 3-axis accelerometer (measuring linear acceleration) and a 3-axis gyroscope (measuring rotational angular velocity) as miniature sensors, capturing the wrist's motion state in real time (e.g., arm swing amplitude, tilt angle, rotational speed), and outputting raw motion data (units: acceleration m / s², angular velocity rad / s). This accurately identifies whether the signal change is due to user movement or a poor environment.

[0125] The detailed weight settings are shown in the table below. The table represents a preferred weight setting scheme, which can be adjusted according to actual needs and circumstances. This application does not impose specific restrictions on it.

[0126]

[0127] Specifically, in sports scenarios, The weight of polarization purity (ω5=0.25) is significantly higher than that of other scenarios, with the aim of reducing the SQI score during severe jitter and avoiding misjudgment. In occluded scenarios, polarization purity (ω4=0.3) and elevation angle (ω3=0.3) have the highest weights and are prioritized to resist multipath interference.

[0128] In one embodiment, dynamically switching between the primary and secondary antennas based on the environmental scenario, a first performance indicator, and a second performance indicator includes:

[0129] S1: Obtain the first switching threshold, the second switching threshold, and the third switching threshold under the environmental scenario.

[0130] S2: If the antenna currently in use is the main antenna, calculate the difference between the second performance index and the first performance index, and use it as the target difference.

[0131] S3: When the first performance index is less than the first switching threshold and the target difference is not less than the second switching threshold, switch to the secondary antenna.

[0132] S4: Detect the difference in the decrease of the first performance indicator at each preset time interval.

[0133] S5: When the difference in the index decrease is not less than the third switching threshold and the target difference is not less than the second switching threshold, switch to the secondary antenna.

[0134] S6: If the antenna currently in use is a secondary antenna, calculate the difference between the first performance index and the second performance index, and use it as the target difference.

[0135] S7: When the first performance indicator is greater than the first switching threshold and the target difference is not less than the second switching threshold, switch back to the main antenna.

[0136] S8: Detect the difference in the decrease of the second performance index at each preset time interval.

[0137] S9: When the difference in the index decrease is not less than the third switching threshold and the target difference is not less than the second switching threshold, switch back to the main antenna.

[0138] The indicator decline difference refers to the magnitude of the performance indicator's decline within a preset time period. For example, assuming the preset time period is 1 second, if the first performance indicator drops from 80 points to 40 points within that 1 second, the indicator decline difference is 40 points. Furthermore, when the performance indicator improves, the indicator decline difference is negative.

[0139] In this embodiment, when the currently used antenna is the primary antenna, antenna switching is detected from two aspects: first, the difference in the decrease of a first performance indicator at preset time intervals; and second, the difference between the second and first performance indicators. Antenna switching is activated when the first performance indicator is less than a first switching threshold, and switching to the secondary antenna is confirmed when the target difference is not less than a second switching threshold. Antenna switching is triggered when the indicator decrease difference is not less than a third switching threshold, and switching to the secondary antenna is confirmed when the target difference is not less than the second switching threshold.

[0140] When the currently used antenna is the secondary antenna, antenna switching is detected simultaneously from two aspects: first, the difference in the decrease of the second performance indicator at preset time intervals; and second, the difference between the first and second performance indicators. When the first performance indicator exceeds the first switching threshold, antenna re-switching is activated, and if the target difference is not less than the second switching threshold, re-switching to the primary antenna is confirmed. When the difference in the indicator decrease is not less than the third switching threshold, antenna re-switching is triggered, and if the target difference is not less than the second switching threshold, re-switching to the primary antenna is confirmed.

[0141] Specifically, the system switches between the two antennas based on a comparison of their signal quality in the spatial domain and also based on a sudden drop in signal quality in the time domain. By simultaneously detecting in both the spatial and time domains, the system dynamically switches the antennas to ensure that the current GPS signal can be received optimally, thereby improving the accuracy and quality of positioning.

[0142] In one example, such as Figure 3 As shown, Figure 3 This is an example diagram illustrating the switching logic of an antenna switching method based on multi-dimensional signal detection, provided in an embodiment of this application. Figure 3In this context, the first switching threshold is set to 65, the second switching threshold is set to 10, and the third switching threshold is set to 30. The preset time period is set to 1 second. Y indicates yes, and N indicates no. Type 1 indicates a switching type based on a comparison of the signal quality of the two spatial antennas, and Type 2 indicates a switching type triggered by a sudden drop in signal quality. , .

[0143] In one embodiment, the antenna switching method based on multi-dimensional signal detection further includes the following steps before switching between the primary and secondary antennas:

[0144] S1: Obtain the hysteresis threshold under the environmental scenario.

[0145] S2: Determine whether the absolute value of the difference between the first performance index and the second performance index is not less than the hysteresis threshold. If so, perform the switching between the main and secondary antennas; otherwise, do not perform the switching between the main and secondary antennas.

[0146] In this embodiment, the setting of the hysteresis threshold can avoid repeated switching near the switching threshold. When the absolute difference between the first performance index and the second performance index is relatively small, antenna switching can be avoided to prevent antenna performance instability and increased system power consumption.

[0147] Specifically, in addition to differentiating hysteresis thresholds for different environmental scenarios, different hysteresis thresholds can be set for spatial domain switching and temporal domain switching. In one example, when switching spatial domains, the hysteresis threshold for open scenarios can be set to 10 points, the hysteresis threshold for occluded scenarios can be set to 15 points, and the hysteresis threshold for running scenarios can be set to 20 points. When switching temporal domains, the hysteresis threshold can be uniformly set to 30 points.

[0148] In one embodiment, the antenna switching method based on multi-dimensional signal detection further includes:

[0149] The system detects the number of times the primary and secondary antennas switch within a preset time interval, and adjusts the hysteresis threshold under the environmental scenario when the number exceeds the preset number.

[0150] In this embodiment, when the number of primary and secondary antenna switching events occurring within a short period exceeds a preset number, the hysteresis threshold under the current environmental scenario can be increased by a certain multiple. This suppresses high-frequency switching. In one example, this multiple can be set to 1.5, but it can be adjusted according to the actual situation; this application does not impose specific limitations on it.

[0151] In one embodiment, the solution may further include the following low-power design to reduce device power consumption:

[0152] 1) Computational resource allocation: The MUSIC algorithm is implemented in an FPGA (Field-Programmable Gate Array) for parallel computation of the covariance matrix and eigenvalues. Performance index calculation tasks are scheduled to MCU idle periods. Scalar detection and summation models are processed in the MCU; switching decisions are executed by a DSP (Digital Signal Processor).

[0153] 2) Data caching and prediction: Pre-stored antenna pattern gain table (Flash storage, (Step size 5°); satellite elevation / azimuth angles are predicted via GPS navigation messages (ephemeris updated every 12.5 minutes, prediction error <5°) to reduce the computational load when determining scalar and vector signals.

[0154] 3) Scalar detection defaults to 1Hz sampling (low power mode), and 10Hz sampling is activated only when CN0 < 38dB-Hz; the MUSIC algorithm is only triggered when scalar detection is abnormal (CN0 drops sharply) (average power consumption < 5mW).

[0155] In one embodiment, the superiority of this solution can be verified through field testing. After adjusting the weights and switching thresholds through actual testing, the positioning accuracy is improved by more than 30%, the false switching rate is less than 5%, and the core field test indicator, drift rate, is significantly improved, as detailed in the table below:

[0156]

[0157] Detailed scene trajectory data such as Figure 4 As shown, Figure 4 A comparison chart of field test verification results provided in an embodiment of this application. From... Figure 4 As can be seen from this, the proposed solution can effectively reduce the drift rate.

[0158] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0159] The antenna switching device based on multi-dimensional signal detection provided in the embodiments of this application will be described below. The antenna switching device based on multi-dimensional signal detection described below can be referred to in correspondence with the antenna switching method based on multi-dimensional signal detection described above.

[0160] like Figure 5 As shown, this application provides an antenna switching device 200 based on multi-dimensional signal detection, the device comprising:

[0161] The device determination module 201 is used to determine the target device, which is configured with a main and secondary dual-antenna array;

[0162] The parameter determination module 202 is used to determine the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device, respectively.

[0163] The performance calculation module 203 is used to determine the first performance index corresponding to the main antenna and the second performance index corresponding to the sub-antenna based on the scalar signal parameters and vector signal parameters of the main and sub-antennas, respectively.

[0164] The antenna switching module 204 is used to detect the environmental scene where the target device is located, and dynamically switch the main and secondary antennas according to the environmental scene, the first performance index and the second performance index.

[0165] In one embodiment, the parameter determination module includes:

[0166] The signal acquisition submodule is used to acquire scalar and vector signals, respectively, for evaluating the signal performance of the main and secondary antennas in the target device.

[0167] The normalization submodule is used to obtain the pre-set normalization rules and perform normalization processing on the scalar signals and vector signals of the main and sub antennas according to the normalization rules, so as to obtain the scalar signal parameters and vector signal parameters of the main antenna and the sub antenna respectively.

[0168] The normalization rule includes multiple sub-rules, each of which is used to perform segmented scoring based on the value of the scalar or vector signal.

[0169] In one embodiment, the signal acquisition submodule includes:

[0170] The smoothing filter unit is used to collect the carrier-to-noise ratio and satellite visibility of the main and secondary antennas in the target device, and to perform smoothing filtering on the carrier-to-noise ratio and satellite visibility of the main and secondary antennas.

[0171] The first generation unit is used to generate scalar signals for the main and secondary antennas based on the carrier-to-noise ratio and satellite visibility number obtained after smoothing and filtering.

[0172] The data acquisition unit is used to acquire time-domain sampling data of the main and secondary antennas, and to process the time-domain sampling data using the MUSIC algorithm to obtain the elevation angle, azimuth angle and polarization purity of the main and secondary antennas.

[0173] The second generation unit is used to generate vector signals for the main and secondary antennas based on their elevation angle, azimuth angle, and polarization purity.

[0174] In one embodiment, the performance calculation module includes:

[0175] The weight determination submodule is used to detect the environmental scene in which the target device is located, and determine the weights corresponding to the scalar signal parameters and vector signal parameters of the main and secondary antennas based on the environmental scene.

[0176] The first calculation submodule is used to perform a weighted summation of the scalar signal parameter and the vector signal parameter based on the weights corresponding to the scalar signal parameter and the vector signal parameter of the main antenna, so as to obtain the first performance index corresponding to the main antenna.

[0177] The second calculation submodule is used to perform a weighted summation of the scalar signal parameter and the vector signal parameter based on the weights corresponding to the scalar signal parameter and the vector signal parameter of the sub-antenna, so as to obtain the second performance index corresponding to the sub-antenna.

[0178] In one embodiment, the antenna switching module includes:

[0179] The threshold acquisition submodule is used to acquire the first switching threshold, the second switching threshold, and the third switching threshold under the environmental scenario.

[0180] The first calculation submodule is used to calculate the difference between the second performance index and the first performance index if the currently used antenna is the main antenna, and use it as the target difference.

[0181] The first switching submodule is used to switch to the secondary antenna when the first performance index is less than the first switching threshold and the target difference is not less than the second switching threshold.

[0182] The first detection submodule is used to detect the difference in the decrease of the first performance index at each preset time interval.

[0183] The second switching submodule is used to switch to the secondary antenna when the difference in the index decrease is not less than the third switching threshold and the difference in the target is not less than the second switching threshold.

[0184] In one embodiment, the antenna switching module includes:

[0185] The threshold acquisition submodule is used to acquire the first switching threshold, the second switching threshold, and the third switching threshold under the environmental scenario.

[0186] The second calculation submodule is used to calculate the difference between the first performance index and the second performance index if the currently used antenna is a secondary antenna, and use it as the target difference.

[0187] The third switching submodule is used to switch back to the main antenna when the first performance index is greater than the first switching threshold and the target difference is not less than the second switching threshold.

[0188] The second detection submodule is used to detect the difference in the index decrease of the second performance index at each preset time interval;

[0189] The fourth switching submodule is used to switch back to the main antenna when the difference in the index decrease is not less than the third switching threshold and the target difference is not less than the second switching threshold.

[0190] In one embodiment, the antenna switching device based on multi-dimensional signal detection further includes the following before switching the primary and secondary antennas:

[0191] The threshold acquisition submodule is used to acquire the hysteresis threshold under the environmental scenario.

[0192] The threshold judgment submodule is used to determine whether the absolute value of the difference between the first performance index and the second performance index is not less than the hysteresis threshold. If it is, the switching between the main and secondary antennas is performed; otherwise, the switching between the main and secondary antennas is not performed.

[0193] In one embodiment, the antenna switching device based on multi-dimensional signal detection further includes:

[0194] The threshold adjustment module is used to detect the number of times the primary and secondary antennas switch occurs within a preset time interval, and adjust the hysteresis threshold under the environmental scenario when the number exceeds the preset number.

[0195] The division of modules in the antenna switching device based on multi-dimensional signal detection described above is merely illustrative. In other embodiments, the antenna switching device based on multi-dimensional signal detection can be divided into different modules as needed to complete all or part of the functions of the antenna switching device based on multi-dimensional signal detection. Each module in the antenna switching device based on multi-dimensional signal detection can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0196] In one embodiment, this application also provides a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the antenna switching method based on multi-dimensional signal detection as described in any of the above embodiments.

[0197] In one embodiment, this application also provides a computer device storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the antenna switching method based on multi-dimensional signal detection as described in any of the above embodiments.

[0198] Indicatively, such as Figure 6 As shown, Figure 6 This is a schematic diagram of the internal structure of a computer device 300 provided in an embodiment of this application. The computer device 300 can be provided as a server. (Refer to...) Figure 6 The computer device 300 includes a processing component 302, which further includes one or more processors, and memory resources represented by memory 301 for storing instructions, such as application programs, that can be executed by the processing component 302. The application programs stored in memory 301 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 302 is configured to execute instructions to perform the antenna switching method based on multi-dimensional signal detection according to any of the above embodiments.

[0199] The computer device 300 may also include a power supply component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate on an operating system stored in memory 301, such as Windows Server™, Mac OS X™, Unix™, Linux™, Free BSD™, or similar.

[0200] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0201] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a…" does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. In this document, the singular forms "a," "an," and "the" may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising / including” or “having” specify the presence of the stated features, wholes, steps, operations, components, parts or combinations thereof, but do not exclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0202] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0203] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An antenna switching method based on multi-dimensional signal detection, characterized in that, The method includes: The target device is identified, and the target device is equipped with a main and secondary dual-antenna array; Determine the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device, respectively; Based on the scalar signal parameters and vector signal parameters of the main and secondary antennas, the first performance index corresponding to the main antenna and the second performance index corresponding to the secondary antenna are determined respectively. The system detects the environmental scene in which the target device is located and dynamically switches the main and secondary antennas based on the environmental scene, the first performance indicator, and the second performance indicator.

2. The antenna switching method based on multi-dimensional signal detection according to claim 1, characterized in that, The determination of the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device includes: Scalar and vector signals are acquired respectively to evaluate the signal performance of the main and secondary antennas in the target device; Obtain a pre-set normalization rule, and perform normalization processing on the scalar signal and vector signal of the main antenna and the sub-antenna respectively according to the normalization rule to obtain the scalar signal parameters and vector signal parameters of the main antenna and the sub-antenna respectively. The normalization rule includes multiple sub-rules, each of which is used to perform segmented scoring based on the value of the scalar signal or the vector signal.

3. The antenna switching method based on multi-dimensional signal detection according to claim 2, characterized in that, The acquisition of scalar and vector signals for evaluating the signal performance of the main and secondary antennas in the target device includes: The carrier-to-noise ratio (CNR) and satellite visibility data of the main and secondary antennas in the target device are collected, and the CNR and satellite visibility data of the main and secondary antennas are smoothed and filtered. The scalar signals of the main and secondary antennas are generated based on the carrier-to-noise ratio and the number of visible satellites obtained after smoothing and filtering. The time-domain sampling data of the main and secondary antennas are collected, and the MUSIC algorithm is used to process the time-domain sampling data to obtain the elevation angle, azimuth angle and polarization purity of the main and secondary antennas. The vector signals of the main and secondary antennas are generated based on the elevation angle, azimuth angle, and polarization purity of the main and secondary antennas.

4. The antenna switching method based on multi-dimensional signal detection according to claim 1, characterized in that, The step of determining the first performance index corresponding to the main antenna and the second performance index corresponding to the secondary antenna based on the scalar signal parameters and vector signal parameters of the main and secondary antennas includes: The environmental scene in which the target device is located is detected, and the weights corresponding to the scalar signal parameters and vector signal parameters of the main and secondary antennas are determined based on the environmental scene. The scalar signal parameter and the vector signal parameter of the main antenna are weighted and summed to obtain the first performance index of the main antenna. The second performance index of the sub-antenna is obtained by weighting the scalar signal parameters and the vector signal parameters based on their corresponding weights.

5. The antenna switching method based on multi-dimensional signal detection according to claim 1, characterized in that, The step of dynamically switching the primary and secondary antennas based on the environmental scenario, the first performance indicator, and the second performance indicator includes: Obtain the first switching threshold, the second switching threshold, and the third switching threshold under the aforementioned environmental scenario; If the antenna currently in use is the main antenna, calculate the difference between the second performance index and the first performance index, and use it as the target difference. When the first performance indicator is less than the first switching threshold and the target difference is not less than the second switching threshold, switch to the secondary antenna; The difference in the decrease of the first performance index at each preset time interval is detected; When the difference in the decrease of the indicator is not less than the third switching threshold and the target difference is not less than the second switching threshold, the signal is switched to the secondary antenna.

6. The antenna switching method based on multi-dimensional signal detection according to claim 1, characterized in that, The step of dynamically switching the primary and secondary antennas based on the environmental scenario, the first performance indicator, and the second performance indicator includes: Obtain the first switching threshold, the second switching threshold, and the third switching threshold under the aforementioned environmental scenario; If the antenna currently in use is a secondary antenna, calculate the difference between the first performance index and the second performance index, and use it as the target difference. When the first performance indicator is greater than the first switching threshold and the target difference is not less than the second switching threshold, the switchback is made back to the main antenna. The difference in the decrease of the second performance index at each preset time interval is detected; When the difference in the decrease of the indicator is not less than the third switching threshold and the target difference is not less than the second switching threshold, the signal is switched back to the main antenna.

7. The antenna switching method based on multi-dimensional signal detection according to any one of claims 1 to 6, characterized in that, Before switching the main and secondary antennas, the method further includes: Obtain the hysteresis threshold under the described environmental scenario; Determine whether the absolute value of the difference between the first performance index and the second performance index is not less than the hysteresis threshold. If so, perform the switching between the main and secondary antennas; otherwise, do not perform the switching between the main and secondary antennas.

8. The antenna switching method based on multi-dimensional signal detection according to claim 7, characterized in that, The method further includes: The number of times the primary and secondary antenna switching occurs within a preset time interval is detected, and when the number exceeds the preset number, the hysteresis threshold under the environmental scenario is adjusted.

9. An antenna switching device based on multi-dimensional signal detection, characterized in that, The device includes: A device determination module is used to determine a target device, wherein the target device is configured with a main and secondary dual-antenna array; The parameter determination module is used to determine the scalar signal parameters and vector signal parameters of the main and secondary antennas in the target device, respectively. The performance calculation module is used to determine the first performance index corresponding to the main antenna and the second performance index corresponding to the sub-antenna based on the scalar signal parameters and vector signal parameters of the main and sub-antennas, respectively. The antenna switching module is used to detect the environmental scene where the target device is located, and dynamically switch the main and secondary antennas according to the environmental scene, the first performance index and the second performance index.

10. A storage medium, characterized in that: The storage medium stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the antenna switching method based on multi-dimensional signal detection as described in any one of claims 1 to 8.

11. A computer device, characterized in that, include: One or more processors, and memory; The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the antenna switching method based on multi-dimensional signal detection as described in any one of claims 1 to 8.

Images