A heterogeneous channel capacity margin evaluation and adaptive handover system and method

Abstract

This invention discloses a heterogeneous channel capacity margin assessment and adaptive handover system and method, comprising: an environment perception and dynamic threshold calculation module, used for real-time monitoring and collection of multi-dimensional environmental parameters, adaptively and dynamically adjusting the safety handover margin of each heterogeneous link, and updating and generating a dynamic handover decision threshold in real time; a heterogeneous channel margin assessment module, used for receiving the dynamic handover threshold, building a channel margin assessment model based on the dynamic handover threshold, calculating the channel margin by quantifying the redundancy distance between the real-time working state of the link and the safety handover boundary, and performing unified quantitative evaluation and priority ranking of multi-system heterogeneous links; and a steady-state handover decision and parameter collaborative adaptation module, used for receiving the channel margin assessment results output by the heterogeneous channel margin assessment module, outputting handover control commands, and completing the collaborative adaptation of communication parameters. Advantages: Improves handover timeliness and communication reliability in complex and variable channel scenarios.

Description

Technical Field

[0001] This invention relates to the field of communications, specifically to a heterogeneous channel capacity margin assessment and adaptive handover system and method. Background Technology

[0002] In the existing communication technology system, the minimum signal-to-noise ratio required for stable demodulation by the receiver is a fixed threshold determined by hardware coding, modulation method and receiving performance. This demodulation critical threshold is the basic red line for reliable communication of the link. Once the real-time signal-to-noise ratio continues to fall below the threshold, it will lead to problems such as a surge in bit errors, demodulation failure, and data disconnection.

[0003] Currently, most commonly used link handover methods are based on fixed demodulation thresholds, superimposed with uniformly preset static safety margins, forming a fixed handover decision threshold. This traditional application model of fixed margins combined with static handover thresholds has significant technical drawbacks. On the one hand, globally unified or link-classified static safety margins lack environmental adaptability. Under harsh conditions of strong interference, deep fading, and severe channel fluctuations, channel quality degrades rapidly, and insufficient fixed margins can cause links to quickly drop below the demodulation threshold from normal operating conditions, resulting in delayed handover triggering and difficulty in proactively mitigating communication interruption risks. On the other hand, under excellent conditions of clean electromagnetic environments, low background noise, and stable channel conditions, excessively large static fixed margins can lead to overly conservative handover standards. Furthermore, small fluctuations in link quality around the handover threshold can easily trigger unnecessary handovers, causing ping-pong handovers, redundant signaling overhead, and transmission jitter, reducing the utilization efficiency of spectrum and link resources. Meanwhile, existing channel evaluation methods often focus on horizontal comparisons of absolute indicators such as signal-to-noise ratio and transmission loss, neglecting the relationship between real-time link operating status and safe handover boundaries, and lacking a channel margin assessment mechanism. The propagation conditions of different heterogeneous links vary significantly. Relying solely on absolute indicators and static thresholds for evaluation can easily lead to problems such as link evaluation imbalance and unreasonable optimization logic. Some multi-parameter fusion evaluation schemes rely on manually setting fixed weights, which cannot dynamically adjust the evaluation constraints according to interference intensity, noise floor level, and channel fading severity. These schemes are therefore ill-suited to the dynamic evolution characteristics of channels in complex scenarios.

[0004] Therefore, it is necessary to provide a system and method for heterogeneous channel capacity margin assessment and adaptive handover. Summary of the Invention

[0005] The present invention provides a heterogeneous channel capacity margin assessment and adaptive handover system and method, which effectively solves the problem that the existing technology is limited by fixed security margin and static handover threshold, resulting in insufficient heterogeneous link coordination assessment and dynamic adaptation capabilities.

[0006] The technical solution adopted in this invention is: a heterogeneous channel capacity margin assessment and adaptive handover system, comprising: an environment perception and dynamic threshold calculation module, used to monitor and collect multi-dimensional environmental parameters in real time, adaptively and dynamically adjust the safety handover margin of each heterogeneous link according to the severity of the electromagnetic environment and the real-time change trend of the channel, and update and generate dynamic handover decision thresholds in real time; a heterogeneous channel margin assessment module, used to receive the dynamic handover thresholds issued by the environment perception and dynamic threshold calculation module, build a channel margin assessment model based on the dynamic handover thresholds, calculate the channel margin by quantifying the redundancy distance between the real-time working state of the link and the safety handover boundary, and perform unified quantitative evaluation and priority ranking of multi-system heterogeneous links; and a steady-state handover decision and parameter cooperative adaptation module, used to receive the channel margin assessment results output by the heterogeneous channel margin assessment module, combine hysteresis constraint rules and multi-cycle steady-state verification mechanism to make handover decisions, output handover control commands, and complete the cooperative adaptation of communication parameters.

[0007] Furthermore, the environmental perception and dynamic threshold calculation module includes: The noise acquisition unit is used to perform modulus square operation on the I / Q complex signal during the silent time slot, and obtain the average power of the in-band noise by accumulating multiple points over the entire time slot and taking the arithmetic mean. The interference spectrum detection unit is used to perform segmented windowed fast Fourier transform on the received baseband data, decompose it to obtain the full-band power spectral density, extract the power components of persistent narrowband interference and broadband suppression interference, and count the duty cycle of pulse interference within the time-domain sliding window. The channel fading statistics unit is used to construct a time-series signal sequence by continuously acquiring the average amplitude of received signals in consecutive frames, calculate the standard deviation through a fixed-length sliding window to quantify the severity of signal fluctuations, and statistically characterize the signal degradation rate by measuring the attenuation slope of long-period signals. The environmental degradation degree calculation unit is used to normalize the three types of parameters, namely background noise, electromagnetic interference and channel fluctuation, and then accumulate and fuse them with the weighting coefficients to obtain the comprehensive environmental degradation degree. The dynamic safety margin calculation unit is used to calculate the dynamic safety margin using the comprehensive environmental degradation degree as input and a nonlinear exponential mapping adjustment mechanism. An adaptive threshold generation unit is used to superimpose the dynamic security margin on the hardware-fixed demodulation threshold and calculate the dynamic link switching decision threshold in real time.

[0008] Furthermore, the heterogeneous channel margin assessment module includes: The real-time signal-to-interference-plus-noise ratio (SIR / NOR) acquisition unit is used to divide the received baseband data into pilot time slots, service time slots, and noise time slots based on the pilot-separated power comparison principle, calculate the average power of the effective signal and the total power of the global noise interference respectively, and solve the original SIR / NOR by ratio calculation. The timing smoothing filter unit is used to smooth the original signal-to-interference-plus-noise ratio using a first-order exponential weighted recursive filter. The heterogeneous link correction unit is used to automatically retrieve the corresponding loss correction coefficient, frequency band attenuation compensation amount and multipath effect correction parameters according to the current working link number, and perform linear compensation correction on the steady-state signal-to-interference-plus-noise ratio. The relative margin calculation unit is used to take the dynamic handover threshold as a rigid reference boundary, and use the boundary difference method to subtract the current safe handover threshold from the steady-state smoothed signal-to-interference-noise ratio to obtain the channel relative margin. The normalized rating unit is used to compress the ratio with the single-link dynamic threshold as the denominator, and to perform secondary equalization compensation in combination with the heterogeneous correction coefficient, so as to transform the dimensional signal-to-noise ratio difference into a unified dimensionless health coefficient. The link priority sorting unit is used to refresh the quality ranking of all primary and backup links in real time using a loop traversal comparison algorithm with normalized margin as the core sorting weight.

[0009] Furthermore, the steady-state switching decision and parameter coordination adaptation module includes, The sliding window steady-state verification unit is used to perform arithmetic mean calculation on the normalized margin sampled values ​​of multiple consecutive periods using fixed-length cyclic buffer mean statistics, and to filter out instantaneous abnormal data. Multi-level hysteresis constraint unit is used to independently set the warning threshold and the switching threshold. A fixed hysteresis isolation amount is reserved between the two thresholds. When the steady state margin falls back to the warning range, only the backup link monitoring is started. The switching process is only triggered when the threshold continuously falls below the switching range. The link status classification unit is used to preset three fixed thresholds for normal interval, warning interval and deterioration interval, and compares the steady state margin with the interval boundary point by point in real time to automatically mark the link operation level. The switching execution control unit is used to employ a continuous periodic counting and locking mechanism. When the switching conditions are met in a single period, the degradation counter is incremented. After the channel returns to normal, the degradation counter is immediately cleared. The hardware switching command is only unlocked when the switching threshold conditions are met for multiple consecutive sampling periods and the degradation counter reaches the set threshold. Transmit parameter adaptation unit, used to adjust the RF transmit power and baseband modulation coding level according to the new link steady-state normalization margin closed loop; The service smoothing guarantee unit is used to cache uplink and downlink service data packets at the moment of handover triggering, and resume the cached data in batches after the new link completes carrier synchronization, timing alignment and link handshake.

[0010] Furthermore, the overall environmental degradation level is: ,in, This is the in-band noise power. As the baseline noise level, This represents the total in-band interference power. As a standard operating condition interference substrate, For time-series sliding statistical variance, For the maximum variance, Noise weighting coefficient, The interference intensity coefficient, Channel fluctuation weights; The formula for calculating the dynamic safety margin is: ;in, To control the overall increase in the margin, the environmental sensitivity coefficient is used. It is a nonlinear intensity. To assess the overall environmental degradation, This represents the system's basic static margin. The formula for calculating the dynamic switching decision threshold is as follows: .in, The demodulation threshold is fixed in the hardware.

[0011] The heterogeneous channel assessment and adaptive handover method employs the aforementioned heterogeneous channel capacity margin assessment and adaptive handover system. S1, Environmental Awareness and Dynamic Threshold Calculation: Real-time monitoring and acquisition of multi-dimensional environmental parameters such as background noise intensity, electromagnetic interference level, and channel fading fluctuations. Based on the severity of the electromagnetic environment and the real-time trend of channel changes, the safety handover margin of each heterogeneous link is adaptively and dynamically adjusted, and a dynamic handover decision threshold value is generated and updated in real time. S2, Heterogeneous Channel Margin Assessment: A channel margin assessment model is built based on the dynamic handover threshold. The channel margin is calculated by quantifying the redundancy distance between the real-time operating state of the link and the safety handover boundary, and a unified quantitative evaluation and priority ranking are performed on the multi-system heterogeneous links. S3, Steady-State Handover Decision and Parameter Co-adaptation: Based on the channel margin assessment results, a handover decision is made in conjunction with hysteresis constraint rules and a multi-cycle steady-state verification mechanism. A handover control command is output, and the co-adaptation of communication parameters is completed.

[0012] Furthermore, the following steps are performed for S1: environmental perception and dynamic threshold calculation: S101: Acquisition of raw RF baseband signals across the entire domain. The antenna receives the mixed RF signal, which is then filtered, amplified, and down-converted by the RF channel before being digitized by a high-speed analog-to-digital converter, outputting a continuous time-domain digital sampled data stream; S102: Quantization of background noise. Utilizing the idle time slots of the frame structure, the communication bandwidth is limited by in-band digital filtering. The power integral averaging of the pure noise signal is calculated, and a normalized background noise coefficient is output; S103: Quantization of electromagnetic interference intensity. The baseband data is segmented and windowed using a fast Fourier transform to complete frequency domain decomposition. The interference excess power is calculated by comparing it with the reference spectrum at each frequency point. Combined with time-domain power mutation detection and interference duty cycle statistics, the interference intensity is normalized. S104. Channel fading fluctuation characteristics statistics: Using a sliding window to statistically analyze the time-domain fluctuation variance of the signal to characterize the severity of fast fading, fitting the attenuation slope of the long-period signal to quantify the rate of slow fading degradation, and outputting the normalized channel fluctuation coefficient; S105. Environmental degradation degree calculation: Using a fixed-weight linear weighted fusion algorithm for three types of dimensionless normalized indicators—noise, interference, and signal fluctuation—to couple and obtain the comprehensive environmental degradation degree; S106. Dynamic safety margin calculation: Using the environmental degradation degree as the independent variable, adaptive adjustment is achieved through exponential nonlinear mapping, and the real-time dynamic safety margin is output after amplitude clamping; S107. Adaptive threshold generation: Using the hardware-fixed demodulation threshold as a base and superimposing the dynamic safety margin, a dynamic handover decision threshold specific to each link is generated.

[0013] Furthermore, the heterogeneous channel margin assessment in step S2 is performed sequentially as follows: S201, separating the effective pilot signal power from the in-band noise and total interference power, and calculating the original signal-to-interference-plus-noise ratio (SINR) using the power ratio; adding strong and weak signal limiting correction to avoid hardware saturation and weak signal noise floor distortion, ensuring measurement consistency across multiple links, and outputting original real-time SINR data for multiple links; S202, employing exponentially weighted recursive filtering to suppress instantaneous spikes caused by impulse interference and fast fading, preserving the long-term channel degradation trend, and outputting a continuous and stable steady-state SINR sequence; S203, heterogeneous link correction, based on... Based on the differences in propagation loss, frequency band attenuation, and multipath effects of different communication systems, corresponding correction factors are retrieved to perform baseline compensation on the steady-state signal-to-interference-plus-noise ratio (SINR) and output the corrected equalized steady-state SINR data; S204, using the dynamic switching threshold as the safety warning boundary, the remaining safety redundancy of the current link distance failure threshold is quantified by difference calculation; S205, dimensionless normalization is performed with the dynamic threshold as the denominator to achieve horizontal comparison of links with different thresholds and different systems, and the priority of multiple links is dynamically sorted according to the normalization margin, outputting the normalized channel margin and the global link optimization sequence, which are then sent to the steady-state switching decision module.

[0014] Furthermore, the steady-state handover decision and parameter coordination adaptation in S3 are performed sequentially as follows: S301, window averaging of the normalized margin sampled values ​​over multiple consecutive cycles is performed to filter out accidental drops caused by instantaneous interference and extract long-term steady-state characteristics of the channel; S302, a dual-layer hysteresis threshold is set to prevent ping-pong handover in critical intervals; the link state is latched by a continuous degradation counter, and handover is only deemed valid if there is continuous degradation over multiple cycles, outputting a link warning flag and the final handover execution command; S303, it is determined whether the handover conditions are met. If they are met, proceed to S304, close the degraded main link, and synchronously complete the carrier synchronization of the backup link. S104. Timing alignment and link handshake: Seamless data packet retransmission is completed through the baseband buffer queue to avoid service interruption; otherwise, return to step S101. S305. Handover execution and service smoothness assurance: The degraded main link is shut down, and the backup link carrier synchronization, timing alignment, and link handshake are completed simultaneously. At the same time, seamless data packet retransmission is completed through the baseband buffer queue to avoid service interruption. S306. The transmit power, modulation order, and transmission rate are adjusted according to the current channel margin negative feedback to match the transmit parameters with the real-time channel carrying capacity. S307. After the handover adaptation is completed, return to step S101 and continue to collect the next cycle of RF signals.

[0015] Furthermore, in step S102, a ratio normalization algorithm is used to eliminate hardware differences, and then a normalized background noise coefficient is output.

[0016] Beneficial effects of the invention: 1. This invention abandons the traditional approach of superimposing a fixed handover threshold with a uniform static safety margin. Instead, it monitors multi-dimensional environmental parameters such as background noise intensity, electromagnetic interference level, and channel fading fluctuations in real time, calculates the overall environmental degradation degree, and uses this as an independent variable to adaptively adjust the dynamic safety margin through a nonlinear exponential mapping. This allows the handover decision threshold to rise in real time with the degree of environmental deterioration. Under severe conditions such as strong interference and deep fading, the threshold is increased in advance to raise the handover warning boundary, preventing the link from falling below the demodulation threshold from its normal operating state in a short period of time, effectively solving the problem of handover trigger lag. Under excellent conditions with a clean electromagnetic environment, the margin automatically shrinks, avoiding excessive threshold redundancy that leads to overly conservative handover standards. Compared with traditional fixed threshold schemes, this invention achieves precise matching between the handover decision threshold and the degree of environmental degradation, significantly improving the handover timeliness and communication reliability in complex and variable channel scenarios.

[0017] 2. Traditional channel evaluation methods often focus on horizontal comparisons of absolute indicators such as signal-to-noise ratio and transmission loss, neglecting the relationship between the real-time operating status of the link and the safe handover boundary, and lacking a channel margin assessment mechanism. Different heterogeneous links have inherently different propagation conditions; relying solely on absolute indicators and static thresholds for evaluation can easily lead to link evaluation imbalances and unreasonable optimization logic. This invention builds a channel margin assessment model based on a dynamic adaptive handover threshold. By quantifying the redundancy distance between the real-time operating status of the link and the safe handover boundary, it accurately characterizes the remaining buffer capacity of the link against fading and interference. It also introduces a normalized relative margin calculation method, combined with a heterogeneous link correction factor, to eliminate systematic biases such as propagation loss, frequency band attenuation, and multipath effects in different communication systems. This unifies the evaluation scale for heterogeneous links with different propagation modes, loss differences, and transmission systems, enabling fair comparison and priority ranking of various heterogeneous links such as shortwave links, air-to-ground links, and ground line-of-sight links under the same scale.

[0018] 3. This invention employs a triple anti-false-judgment mechanism in the handover decision-making stage: "sliding window steady-state verification + dual-layer hysteresis threshold + continuous cycle count locking". The sliding window steady-state verification uses a fixed-length cyclic buffer to collect average statistics, using only the steady-state average over multiple consecutive cycles as the decision input to filter out transient abnormal data such as impulse interference and single deep fading. The dual-layer hysteresis threshold independently sets warning and handover thresholds, with a fixed hysteresis isolation margin between the two levels. When the margin falls back to the warning range, only backup link monitoring is activated; the handover process is only triggered when the threshold range is continuously breached. The continuous cycle count locking mechanism requires the degradation counter to reach a set threshold for multiple consecutive sampling cycles before the handover command can be unlocked. This triple mechanism collaboratively filters false-judgment conditions from three dimensions: data filtering, threshold isolation, and timing locking. It effectively avoids unnecessary handovers triggered when link quality fluctuates slightly near the handover threshold, significantly reducing the number of ping-pong handovers and signaling overhead redundancy.

[0019] 4. This invention implements a complete closed-loop collaborative adaptation system at the handover execution level. The link status classification unit presets three levels: normal, warning, and deterioration. After a link enters the warning state, it proactively initiates backup link synchronization signal sampling and quality assessment, completing signal synchronization and parameter pre-configuration of the backup link in advance, significantly shortening the handover response latency. After handover is triggered, the transmit parameter adaptation unit adjusts the RF transmit power and baseband modulation and coding level in a closed loop according to the steady-state normalization margin of the new link—increasing transmit gain and reducing modulation order to reduce demodulation threshold pressure when the margin is low, and reducing transmit power consumption and increasing transmission rate to maximize link spectrum utilization when the margin is sufficient. Simultaneously, the service smoothing guarantee unit buffers uplink and downlink service data packets at the moment of handover triggering. After the new link completes carrier synchronization, timing alignment, and link handshake, it resumes the batch transmission of buffered data to fill the transmission gap during handover. The entire mechanism makes the handover process completely transparent to upper-layer services, avoiding data packet loss, service interruption, and transmission link loss, effectively ensuring the continuous and stable operation of critical services. After the switchover and adaptation are completed, the system automatically returns to the environmental awareness step, forming a never-ending closed-loop continuous monitoring and adaptive cycle. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of a heterogeneous channel capacity margin assessment and adaptive handover system provided in an embodiment of this application.

[0021] Figure 2 A flowchart of a heterogeneous channel capacity margin assessment and adaptive handover method provided for embodiments of this application.

[0022] The following modules are labeled in the diagram: 1. Environmental perception and dynamic threshold calculation module; 2. Heterogeneous channel margin assessment module; 3. Steady-state handover decision and parameter cooperative adaptation module; 11. Noise acquisition unit; 12. Interference spectrum detection unit; 13. Channel fading statistics unit; 14. Environmental degradation degree calculation unit; 15. Dynamic safety margin calculation unit; 16. Adaptive threshold generation unit; 21. Real-time signal-to-dryness ratio acquisition unit; 22. Timing smoothing filtering unit; 23. Heterogeneous link correction unit; 24. Relative margin calculation unit; 25. Normalized rating unit; 26. Link priority sorting unit; 31. Sliding window steady-state verification unit; 32. Multi-level hysteresis constraint unit; 33. Link state classification unit; 34. Handover execution control unit; 35. Transmission parameter adaptation unit; 36. Service smoothing guarantee unit. Detailed Implementation

[0023] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0024] like Figure 1As shown, the first embodiment provided in this application is a heterogeneous channel capacity margin assessment and adaptive handover system, including: an environment perception and dynamic threshold calculation module 1, used to monitor and collect multi-dimensional environmental parameters in real time, adaptively and dynamically adjust the safety handover margin of each heterogeneous link according to the severity of the electromagnetic environment and the real-time change trend of the channel, and update and generate a dynamic handover decision threshold in real time; a heterogeneous channel margin assessment module 2, used to receive the dynamic handover threshold issued by the environment perception and dynamic threshold calculation module 1, build a channel margin assessment model based on the dynamic handover threshold, calculate the channel margin by quantifying the redundancy distance between the real-time working state of the link and the safety handover boundary, and perform unified quantitative evaluation and priority ranking of multi-system heterogeneous links; and a steady-state handover decision and parameter cooperative adaptation module 3, used to receive the channel margin assessment result output by the heterogeneous channel margin assessment module 2, combine hysteresis constraint rules and multi-cycle steady-state verification mechanism to make a handover decision, output a handover control command, and complete the cooperative adaptation of communication parameters.

[0025] In practical use, the environmental perception and dynamic threshold calculation module 1 monitors and collects multi-dimensional environmental parameters in real time, such as background noise intensity, electromagnetic interference level, and channel fading fluctuations. Based on the severity of the electromagnetic environment and the real-time changing trend of the channel, this module adaptively and dynamically adjusts the safety handover margin of each heterogeneous link and updates and generates a dynamic handover decision threshold in real time. The heterogeneous channel margin assessment module 2 receives this dynamic handover threshold, builds a channel margin assessment model based on this threshold, calculates the channel margin by quantifying the redundancy distance between the real-time operating state of the link and the safety handover boundary, and performs unified quantitative evaluation and priority ranking for multi-system heterogeneous links. The steady-state handover decision and parameter collaborative adaptation module 3 receives the margin assessment results, combines hysteresis constraint rules and a multi-cycle steady-state verification mechanism to make a handover decision, outputs handover control commands, and completes the collaborative adaptation of communication parameters. The three modules are connected in series to form a complete closed loop from environmental perception to handover execution.

[0026] The above design overcomes the shortcomings of traditional fixed handover thresholds and static safety margins, which cannot adapt to complex and ever-changing communication environments. Through adaptive adjustment of the dynamic handover threshold, it avoids communication interruptions caused by handover lag under severe conditions of strong interference and deep fading, while also avoiding overly conservative handover standards and ping-pong handover problems caused by excessively large fixed margins under favorable conditions. A unified quantitative evaluation of multi-system heterogeneous links is achieved through a channel margin assessment model, solving the problem of inconsistent evaluation standards for heterogeneous links. The three-layer modular architecture enables the system to have end-to-end adaptive capabilities from environment awareness and margin assessment to handover execution, comprehensively improving the stability of multi-link converged communication systems in complex and ever-changing scenarios.

[0027] Specifically: such as Figure 1As shown, the environmental perception and dynamic threshold calculation module 1 includes: The noise acquisition unit 11 is used to perform a magnitude square operation on the I / Q complex signal during the silent time slot, and obtain the average power of the in-band noise by accumulating multiple points in the whole time slot and taking the arithmetic mean. The interference spectrum detection unit 12 is used to perform segmented windowed fast Fourier transform on the received baseband data, decompose it to obtain the full-band power spectral density, extract the power components of persistent narrowband interference and broadband suppression interference, and count the duty cycle of pulse interference within the time-domain sliding window. The channel fading statistics unit 13 is used to construct a time-series signal sequence by continuously acquiring the average amplitude of the received signal in consecutive frames, calculate the standard deviation through a fixed-length sliding window to quantify the severity of signal fluctuations, and statistically analyze the attenuation slope of long-period signals to characterize the rate of signal degradation. The environmental degradation degree calculation unit 14 is used to normalize the three types of parameters, namely background noise, electromagnetic interference and channel fluctuation, and accumulate and fuse them with the weight coefficients to obtain the comprehensive environmental degradation degree. The dynamic safety margin calculation unit 15 is used to calculate the dynamic safety margin by taking the comprehensive environmental degradation degree as input and using a nonlinear exponential mapping adjustment mechanism. The adaptive threshold generation unit 16 is used to superimpose the dynamic security margin on the hardware-fixed demodulation threshold and calculate the dynamic link switching decision threshold in real time.

[0028] In actual use, after the radio frequency signal enters the system, it is first distributed in parallel to three acquisition units: the noise acquisition unit 11 is responsible for measuring the pure background noise power during silent time slots when no signal is transmitted; the interference spectrum detection unit 12 is responsible for performing spectrum scanning across the entire frequency band to extract the intensity of various interference signals (narrowband interference, broadband suppression interference, and impulse interference); and the channel fading statistics unit 13 is responsible for analyzing the severity of signal amplitude fluctuations and long-term attenuation trends. After each of these three acquisition units completes its measurement, it sends the normalized noise figure, interference intensity, and channel fluctuation coefficient to the environmental degradation degree calculation unit 14. This unit multiplies these three coefficients of different dimensions by their respective weights and sums them to obtain a comprehensive environmental degradation degree between 0 and 1. That is, the closer the value is to 1, the worse the electromagnetic environment and the more unstable the channel. This degradation degree is then sent to the dynamic safety margin calculation unit 15. Based on the degree of degradation, this unit calculates the additional safety protection required for the current environment through a nonlinear exponential mapping. When the degree of degradation increases slightly, the margin rises gradually, and when the degree of degradation increases severely, the margin rises sharply, so that the protection level matches the rate of environmental deterioration. Finally, the adaptive threshold generation unit 16 superimposes the calculated dynamic safety margin onto the hardware-fixed demodulation threshold, generates dynamic switching decision thresholds specific to each link in real time, and continuously sends them to the backend evaluation module.

[0029] The above design achieves automated conversion from raw signal to dynamic threshold. Noise acquisition unit 11 and interference spectrum detection unit 12 respectively sense three independent dimensions of the environment (noise floor, interference intensity, and channel stability), which are then fused to form a comprehensive evaluation of environmental quality, avoiding the bias of evaluation based on a single indicator. Nonlinear exponential mapping enables the system to rapidly raise the threshold in severely deteriorated environments, providing early warning; while remaining restrained in the face of slight fluctuations, avoiding oversensitivity. The collaborative work of the six units ensures rapid response and precise adjustment of the threshold generation.

[0030] Specifically: such as Figure 1 As shown, the heterogeneous channel margin assessment module 2 includes: The real-time signal-to-interference-plus-noise ratio (SIR / NOR) acquisition unit is used to divide the received baseband data into pilot time slots, service time slots, and noise time slots based on the pilot-separated power comparison principle, calculate the average power of the effective signal and the total power of the global noise interference respectively, and solve the original SIR / NOR by ratio calculation. The timing smoothing filter unit 22 is used to smooth the original signal-to-interference-plus-noise ratio by using a first-order exponential weighted recursive filter. The heterogeneous link correction unit 23 is used to automatically retrieve the corresponding loss correction coefficient, frequency band attenuation compensation amount and multipath effect correction parameters according to the current working link number, and perform linear compensation correction on the steady-state signal-to-interference-plus-noise ratio. The relative margin calculation unit 24 is used to take the dynamic switching threshold as a rigid reference boundary, and use the boundary difference method to subtract the current safe switching threshold from the steady-state smoothed signal-to-interference-noise ratio to obtain the channel relative margin. Normalized rating unit 25 is used to compress the ratio with the single-link dynamic threshold as the denominator, and to perform secondary equalization compensation in combination with heterogeneous correction coefficients, so as to transform the dimensional signal-to-noise ratio difference into a unified dimensionless health coefficient. Link priority sorting unit 26 is used to refresh the quality ranking of all primary and backup links in real time using a loop traversal comparison algorithm with normalized margin as the core sorting weight.

[0031] In actual use, the real-time signal-to-interference-plus-noise ratio (SIR) acquisition unit measures the raw SIR in parallel for all heterogeneous links and sends the measurement results to the timing smoothing and filtering unit 22. The smoothing and filtering unit performs a first-order exponential weighted recursive filter on the raw value of each link to suppress high-frequency glitches caused by fast fading and pulse interference, and then outputs the steady-state SIR to the heterogeneous link correction unit 23. The correction unit automatically retrieves the corresponding loss correction coefficient and frequency band attenuation compensation amount according to the communication system of each link, compensates for the systematic baseline deviation between links of different systems, and then passes the equalized SIR to the relative margin calculation unit 24. The margin calculation unit uses... The balanced signal-to-interference-plus-noise ratio (SIR) minus the dynamic switching threshold for the link issued by the upstream is used to obtain the remaining safety redundancy of each link, which is then sent to the normalization rating unit 25. The normalization rating unit 25 compresses the relative margin of all links by using their respective dynamic thresholds as the denominator, eliminating the evaluation bias caused by different threshold baselines, and mapping multi-system links to the same dimensionless interval for fair comparison. The normalization result is then output to the link priority ranking unit 26. The ranking unit uses the normalized margin as the core weight and adopts a cyclic traversal comparison algorithm to synchronously rank all primary and backup links, and refreshes the link preference list in real time for use by the upper layer switching decision. The six units are connected in series, refining the data step by step—from raw measurement to reliable ranking, the output of the upstream is always the input of the downstream.

[0032] In the above design, the heterogeneous channel margin assessment module 2 eliminates systematic deviations between systems through heterogeneous correction and eliminates differences in threshold baselines through normalization, enabling shortwave links, air-to-ground links, and line-of-sight links to be ranked on the same scale. Furthermore, it filters out high-frequency spikes through timing smoothing, ensuring that the assessment is based on long-term steady-state conditions rather than instantaneous spikes. The link priority ranking unit 26 synchronously refreshes all links, providing a clear and reliable "candidate queue" for handover decisions.

[0033] Specifically: such as Figure 1 As shown, the steady-state switching decision and parameter coordination adaptation module 3 includes, The sliding window steady-state verification unit 31 is used to perform arithmetic mean calculation on the normalized margin sample values ​​of multiple consecutive periods by using fixed-length cyclic buffer mean statistics to filter out instantaneous abnormal data. The multi-level hysteresis constraint unit 32 is used to independently set the warning threshold and the switching threshold. A fixed hysteresis isolation amount is reserved between the two thresholds. When the steady-state margin falls back to the warning range, only the backup link monitoring is started. The switching process is only triggered when the threshold range is continuously broken. The link status classification unit 33 is used to preset three fixed thresholds for normal interval, early warning interval and deterioration interval, and compare the steady state margin with the interval boundary point by point in real time to automatically mark the link operation level. The switching execution control unit 34 is used to employ a continuous period counting lock mechanism. When the switching conditions are met in a single period, the degradation counter is incremented. After the channel returns to normal, the degradation counter is immediately cleared. The hardware switching command is only unlocked when the switching threshold conditions are met for multiple consecutive sampling periods and the degradation counter reaches the set threshold. Transmit parameter adaptation unit 35 is used to adjust the radio frequency transmit power and baseband modulation coding level according to the new link steady-state normalization margin closed loop; The service smoothing guarantee unit 36 ​​is used to cache uplink and downlink service data packets at the moment of handover triggering, and to resume the cached data in batches after the new link completes carrier synchronization, timing alignment and link handshake.

[0034] In actual use, the normalized margin first enters the sliding window steady-state verification unit 31. This unit maintains a fixed-length data buffer, stores the latest sampled values ​​in real time and squeezes out expired data, and outputs the steady-state margin after averaging all samples within the window, filtering out single instantaneous disturbances. The steady-state margin is sent in parallel to the multi-level hysteresis constraint unit 32 and the link status classification unit 33: the hysteresis constraint unit compares the margin with the preset warning threshold and switching threshold level by level—when the margin falls to the warning interval, only the backup link monitoring is activated, and the switching process is only allowed to be triggered when it continuously falls below the lower-level switching threshold; the classification unit compares the margin with the boundaries of the normal, warning, and degradation intervals, automatically marks the link operation level, and triggers the signal synchronization and parameter pre-configuration of the backup link in advance once the warning state is entered. When the hysteresis constraint confirms that degradation continues, the switching execution control unit 34 starts the internal degradation counter—it accumulates when the margin is lower than the switching threshold in each cycle, and returns to zero when it returns to normal. Only when the accumulation reaches the set threshold for multiple consecutive cycles is the hardware switching command unlocked. After the handover is triggered, the transmit parameter adaptation unit 35 adjusts the transmit power and modulation coding level according to the steady-state margin closed loop of the new link, and the service smoothing guarantee unit 36 ​​simultaneously starts the baseband data buffer. After the new link completes the synchronization handshake, the buffered data is transmitted in batches to fill the handover gap.

[0035] In the above design, the steady-state handover decision and parameter collaborative adaptation module 3 uses a triple mechanism of sliding window steady-state verification, multi-level hysteresis constraints, and counting lock in handover execution control to collaboratively filter transient disturbances from different dimensions (data filtering, threshold isolation, and timing lock), ensuring that only continuous and real degradation triggers handover, thus avoiding erroneous handovers and ping-pong handovers. Link status classification completes backup link synchronization configuration in advance during the early warning phase, significantly shortening handover response latency. Transmission parameter adaptation enables new links to quickly match channel carrying capacity, and service smoothness assurance ensures zero loss of service data during handover through buffer relay, comprehensively guaranteeing the reliability of the handover process.

[0036] Specifically: the overall environmental degradation level is ;in, This is the in-band noise power. As the baseline noise level, This represents the total in-band interference power. As a standard operating condition interference substrate, For time-series sliding statistical variance, For the maximum variance, Noise weighting coefficient, The interference intensity coefficient, Channel fluctuation weights; The formula for calculating the dynamic safety margin is: The dynamic safety margin calculation unit uses environmental degradation as input and employs a nonlinear exponential mapping adjustment mechanism to calculate the dynamic safety margin. Among these, To control the overall increase in the margin, the environmental sensitivity coefficient is used. It is a nonlinear intensity. To assess the overall environmental degradation, This serves as the system's basic static margin. The higher the degree of environmental degradation, the stronger the noise and interference, and the more severe the channel fluctuations, the larger the safety margin becomes, increasing the handover warning threshold in advance. When the electromagnetic environment is clean and the channel is stable, the margin gradually shrinks, reducing the handover threshold redundancy. This serves as a minimum safety margin and must not fall below this value under any circumstances. Calculate the environmental sensitivity adjustment term. .

[0037] The formula for calculating the dynamic switching decision threshold is as follows: , among which, among which, The demodulation threshold is fixed in the hardware.

[0038] In the above design, the weighted fusion of multiple indicators makes the environmental assessment comprehensive and objective, avoiding the bias of single indicators or manual qualitative assessments. Nonlinear exponential mapping enables threshold adjustment to have adaptive sensitivity—responding restrainedly to avoid over-adjustment in cases of slight deterioration, and rapidly raising the threshold for early warning in cases of severe deterioration. The three formulas fully mathematically represent the threshold transition process, ensuring that each adjustment step has a clear quantitative basis, rather than being based on empirical settings.

[0039] like Figure 2As shown, the second embodiment provided in this application is a heterogeneous channel assessment and adaptive handover method. It employs the aforementioned heterogeneous channel capacity margin assessment and adaptive handover system. The method comprises the following steps: S1, Environmental Awareness and Dynamic Threshold Calculation: Real-time monitoring and acquisition of multi-dimensional environmental parameters such as background noise intensity, electromagnetic interference level, and channel fading fluctuations. Based on the severity of the electromagnetic environment and the real-time changing trend of the channel, the safety handover margin of each heterogeneous link is adaptively and dynamically adjusted, and a dynamic handover decision threshold is generated and updated in real time. S2, Heterogeneous Channel Margin Assessment: A channel margin assessment model is built based on the dynamic handover threshold. The channel margin is calculated by quantifying the redundancy distance between the real-time working state of the link and the safety handover boundary, and a unified quantitative evaluation and priority ranking are performed on the multi-system heterogeneous links. S3, Steady-State Handover Decision and Parameter Co-adaptation: Based on the channel margin assessment results, a handover decision is made by combining hysteresis constraint rules and a multi-cycle steady-state verification mechanism. A handover control command is output, and the co-adaptation of communication parameters is completed.

[0040] In the above design, dynamic threshold pre-calculation provides a real-time updated benchmark for margin assessment, normalized margin enables fair comparison of heterogeneous links, and steady-state verification and hysteresis constraints jointly filter transient disturbances. These three steps form a fully automated closed loop from environmental awareness to switching execution, solving both the problem of fixed thresholds failing to adapt to environmental changes and the problem of inconsistent evaluation standards for heterogeneous links.

[0041] Specifically: such as Figure 2As shown, S1, environmental perception and dynamic threshold calculation are performed according to the following steps: S101, raw signal acquisition across the entire RF baseband domain: the antenna receives the spatial RF mixed signal, which is filtered, amplified, and down-converted by the RF channel, and then digitally sampled by a high-speed analog-to-digital converter, outputting a continuous time-domain digital sampled data stream; S102, background noise quantization acquisition: relying on the idle and silent time slots of the frame structure, the communication working bandwidth is limited by in-band digital filtering, and the power integral averaging of the pure noise signal is calculated to output a normalized background noise coefficient; S103, electromagnetic interference intensity quantization: the baseband data is segmented and windowed to complete the frequency domain decomposition using fast Fourier transform, and the interference excess power is calculated by comparing it with the reference spectrum point by frequency point. The interference intensity is normalized by combining time-domain power mutation detection and interference duty cycle statistics. The system performs the following steps: S104. Channel fading fluctuation characteristic statistics: a sliding window is used to statistically analyze the time-domain fluctuation variance of the signal to characterize the severity of fast fading, and the attenuation slope of the long-period signal is fitted to quantify the rate of slow fading degradation, outputting the normalized channel fluctuation coefficient; S105. Environmental degradation degree calculation: a fixed-weight linear weighted fusion algorithm is used to couple the three dimensionless normalized indicators of noise, interference, and signal fluctuation to obtain the comprehensive environmental degradation degree; S106. Dynamic safety margin calculation: with the environmental degradation degree as the independent variable, adaptive adjustment is achieved through exponential nonlinear mapping, and the real-time dynamic safety margin is output after amplitude clamping; S107. Adaptive threshold generation: the dynamic safety margin is superimposed on the hardware-fixed demodulation threshold as the basis to generate the dynamic handover decision threshold for each link.

[0042] In the above design, normalization fusion combines parameters with different dimensions within the same mathematical framework, avoiding manual qualitative analysis. Nonlinear mapping automatically matches the margin adjustment speed with the rate of environmental degradation. Real-time dynamic threshold updates provide precise reference boundaries for downstream assessments, fully covering the entire sensing process from the original signal to the dynamic threshold.

[0043] Specifically: such as Figure 2As shown, the heterogeneous channel margin assessment in step S2 is performed sequentially as follows: S201, separating the effective pilot signal power from the in-band noise and total interference power, and calculating the original signal-to-interference-plus-noise ratio (SINR) using the power ratio; adding strong and weak signal limiting correction to avoid hardware saturation and weak signal noise distortion, ensuring the consistency of multi-link measurements, and outputting the original real-time SINR data of multiple links; S202, using exponentially weighted recursive filtering to suppress instantaneous spikes caused by pulse interference and fast fading, preserving the long-term channel degradation trend, and outputting a continuous and stable steady-state SINR sequence; S203, heterogeneous link correction, based on the different S204. Based on the differences in propagation loss, frequency band attenuation, and multipath effects of the same communication system, corresponding correction factors are retrieved to perform baseline compensation on the steady-state signal-to-interference-plus-noise ratio (SIR), and the corrected equalized steady-state SIR data is output; S205. Using the dynamic switching threshold as the safety warning boundary, the remaining safety redundancy of the current link distance failure threshold is quantified by difference calculation; S206. Dimensionless normalization is performed with the dynamic threshold as the denominator to realize the horizontal comparison of links with different thresholds and different systems, and the dynamic sorting of multi-link priorities is completed according to the normalization margin. The normalized channel margin and the global link optimization sequence are output and sent to the steady-state switching decision module.

[0044] In the above design, pilot-separated measurement and clipping correction ensure a unified measurement algorithm across multiple links. Exponential smoothing filters out fast fading glitches, allowing evaluations to be based on long-term steady-state rather than instantaneous values. Link correction eliminates systematic biases between heterogeneous links, a prerequisite for fair comparison. Normalized sorting maps all links to the same scale, providing a clear and reliable preferred queue for handover decisions.

[0045] Specifically: such as Figure 2 As shown, the steady-state handover decision and parameter coordination adaptation in S3 are performed sequentially as follows: S301, window averaging of the normalized margin sampled values ​​over multiple consecutive cycles is performed to filter out accidental drops caused by instantaneous interference and extract the long-term steady-state characteristics of the channel; S302, a dual-layer hysteresis threshold is set to prevent ping-pong handover in the critical interval; the link state is latched by a continuous degradation counter, and the handover is deemed valid only if there is continuous degradation over multiple cycles, and a link warning flag and a final handover execution command are output; S303, it is determined whether the handover conditions are met. If they are met, proceed to S304, close the degraded main link, and simultaneously complete the carrier synchronization of the backup link. S104. Timing alignment and link handshake: Seamless data packet retransmission is completed through the baseband buffer queue to avoid service interruption; otherwise, return to step S101. S305. Handover execution and service smoothness assurance: Close the degraded main link, and simultaneously complete the carrier synchronization, timing alignment, and link handshake of the backup link. At the same time, seamless data packet retransmission is completed through the baseband buffer queue to avoid service interruption. S306. Adjust the transmit power, modulation order, and transmission rate according to the current channel margin negative feedback to match the transmit parameters with the real-time channel carrying capacity. S307. After the handover adaptation is completed, return to step S101 and continue to collect the next cycle of RF signals.

[0046] In the above design, window averaging, double-layer hysteresis, and continuous counters work together to filter out false positives from three levels: data filtering, threshold isolation, and timing locking, ensuring extremely robust switching triggering. Conditional branches and loop returns form a continuous closed loop, allowing the system to adapt without ever stopping. Cache relay ensures that the user is unaware of the switching process, and parameter negative feedback enables the new link to quickly match the optimal working state.

[0047] Specifically: In step S102, a ratio normalization algorithm is used to eliminate hardware differences, and then a normalized background noise coefficient is output.

[0048] The above design eliminates the influence of individual hardware differences on noise measurement, providing a dimensionally consistent basis for the subsequent linear weighted fusion of noise figure, interference coefficient, and fluctuation coefficient, thus ensuring the scientificity and accuracy of the comprehensive environmental degradation calculation.

[0049] In further detail, it should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A heterogeneous channel capacity margin assessment and adaptive handover system, characterized in that: include, The environment perception and dynamic threshold calculation module (1) is used to monitor and collect multi-dimensional environmental parameters in real time, and adaptively and dynamically adjust the safety switching margin of each heterogeneous link according to the severity of the electromagnetic environment and the real-time change trend of the channel, and update and generate dynamic switching decision thresholds in real time; the heterogeneous channel margin assessment module (2) is used to receive the dynamic switching threshold issued by the environment perception and dynamic threshold calculation module (1), build a channel margin assessment model based on the dynamic switching threshold, calculate the channel margin by quantifying the redundancy distance between the real-time working state of the link and the safety switching boundary, and perform unified quantitative evaluation and priority ranking of multi-system heterogeneous links; the steady-state switching decision and parameter cooperative adaptation module (3) is used to receive the channel margin assessment result output by the heterogeneous channel margin assessment module (2), make a switching decision in combination with hysteresis constraint rules and multi-cycle steady-state verification mechanism, output switching control commands, and complete the cooperative adaptation of communication parameters.

2. The heterogeneous channel capacity margin assessment and adaptive handover system according to claim 1, characterized in that: The environmental perception and dynamic threshold calculation module (1) includes: The noise acquisition unit (11) is used to perform the magnitude square operation on the I / Q complex signal in the silent time slot, and obtain the average power of the noise in the band by accumulating multiple points in the whole time slot and taking the arithmetic mean. Interference spectrum detection unit (12) is used to perform segmented windowed fast Fourier transform on the received baseband data, decompose it to obtain the full-band power spectrum density, extract the power components of persistent narrowband interference and broadband suppression interference, and count the duty cycle of pulse interference within the time domain sliding window. The channel fading statistics unit (13) is used to construct a time-series signal sequence by continuously collecting the average amplitude of the received signal in consecutive frames, calculate the standard deviation through a fixed-length sliding window to quantify the severity of signal fluctuations, and statistically analyze the attenuation slope of long-period signals to characterize the rate of signal degradation. The environmental degradation degree calculation unit (14) is used to normalize the three types of parameters, namely background noise, electromagnetic interference and channel fluctuation, and accumulate and fuse them with the weight coefficients to obtain the comprehensive environmental degradation degree. The dynamic safety margin calculation unit (15) is used to calculate the dynamic safety margin by taking the comprehensive environmental degradation degree as input and using a nonlinear exponential mapping adjustment mechanism. The adaptive threshold generation unit (16) is used to superimpose the dynamic security margin on the hardware-fixed demodulation threshold and calculate the dynamic link switching decision threshold in real time.

3. The heterogeneous channel capacity margin assessment and adaptive handover system according to claim 1, characterized in that: The heterogeneous channel margin assessment module (2) includes: The real-time signal-to-interference-plus-noise ratio (SIR / NOR) acquisition unit is used to divide the received baseband data into pilot time slots, service time slots, and noise time slots based on the pilot-separated power comparison principle, calculate the average power of the effective signal and the total power of the global noise interference respectively, and solve the original SIR / NOR by ratio calculation. The timing smoothing filter unit (22) is used to smooth the original signal-to-interference-plus-noise ratio by using a first-order exponential weighted recursive filter; The heterogeneous link correction unit (23) is used to automatically retrieve the corresponding loss correction coefficient, frequency band attenuation compensation amount and multipath effect correction parameters according to the current working link number, and to perform linear compensation correction on the steady-state signal-to-interference-plus-noise ratio. The relative margin calculation unit (24) is used to obtain the channel relative margin by subtracting the current safe handover threshold from the signal-to-interference-plus-noise ratio after steady-state smoothing using the boundary difference method with the dynamic handover threshold as a rigid reference boundary. The normalized rating unit (25) is used to compress the ratio with the single-link dynamic threshold as the denominator, and to perform secondary equalization compensation in combination with the heterogeneous correction coefficient, so as to transform the dimensional signal-to-noise ratio difference into a unified dimensionless health coefficient. The link priority sorting unit (26) is used to refresh the quality ranking of all primary and backup links in real time using a loop traversal comparison algorithm with normalized margin as the core sorting weight.

4. The heterogeneous channel capacity margin assessment and adaptive handover system according to claim 1, characterized in that: The steady-state switching decision and parameter collaborative adaptation module (3) includes, The sliding window steady-state verification unit (31) is used to perform arithmetic mean calculation on the normalized margin sampled values ​​of multiple consecutive cycles by using fixed-length cyclic buffer mean statistics to filter out instantaneous abnormal data; Multi-level hysteresis constraint unit (32) is used to independently set the warning threshold and the switching threshold. A fixed hysteresis isolation amount is reserved between the two thresholds. When the steady state margin falls back to the warning range, only the backup link monitoring is started. The switching process is only triggered when the threshold range is continuously broken. The link status classification unit (33) is used to preset three fixed thresholds for normal interval, early warning interval and deterioration interval, and compare the steady state margin with the interval boundary point by point in real time to automatically mark the link operation level; The switching execution control unit (34) is used to adopt a continuous period counting lock mechanism. When the switching conditions are met in a single period, the degradation counter is accumulated. After the channel is restored to normal, the degradation counter is immediately cleared. The hardware switching command is only unlocked when the switching threshold conditions are met for multiple consecutive sampling periods and the degradation counter reaches the set threshold. Transmit parameter adaptation unit (35) is used to adjust the radio frequency transmit power and baseband modulation coding level in a closed loop according to the new link steady-state margin; The service smoothing guarantee unit (36) is used to cache uplink and downlink service data packets at the moment of switching triggering, and to continue the cached data in batches after the new link completes carrier synchronization, timing alignment and link handshake.

5. The heterogeneous channel capacity margin assessment and adaptive handover system according to claim 2, characterized in that: The overall environmental degradation level is: ,in, This is the in-band noise power. As the baseline noise level, This represents the total in-band interference power. As a standard operating condition interference substrate, For time-series sliding statistical variance, For the maximum variance, Noise weighting coefficient, The interference intensity coefficient, Channel fluctuation weights; The formula for calculating the dynamic safety margin is: ,in, To control the overall increase in the margin, the environmental sensitivity coefficient is used. It is a nonlinear intensity. To assess the overall environmental degradation, This represents the system's basic static margin. The formula for calculating the dynamic switching decision threshold is as follows: ,in, The demodulation threshold is fixed in the hardware.

6. A heterogeneous channel capacity margin assessment and adaptive handover method, employing the heterogeneous channel capacity margin assessment and adaptive handover system described in any one of claims 1 to 5, characterized by: S1, environmental perception and dynamic threshold calculation: real-time monitoring and acquisition of multi-dimensional environmental parameters such as background noise intensity, electromagnetic interference level, and channel fading fluctuation; adaptively and dynamically adjusting the safety handover margin of each heterogeneous link according to the severity of the electromagnetic environment and the real-time change trend of the channel; and updating and generating a dynamic handover decision threshold in real time; S2, heterogeneous channel margin assessment: building a channel margin assessment model based on the dynamic handover threshold; calculating the channel margin by quantifying the redundancy distance between the real-time working state of the link and the safety handover boundary; and performing unified quantitative evaluation and priority ranking of multi-system heterogeneous links; S3, steady-state handover decision and parameter collaborative adaptation: based on the channel margin assessment results, combining hysteresis constraint rules and multi-cycle steady-state verification mechanisms to make handover decisions, output handover control commands, and complete the collaborative adaptation of communication parameters.

7. The heterogeneous channel capacity margin assessment and adaptive handover method according to claim 6, characterized in that: S1, environmental perception and dynamic threshold calculation are performed according to the following steps: S101, RF baseband full-domain raw signal acquisition, the antenna receives spatial RF mixed signal, after filtering, amplification and down-conversion processing by the RF channel, the high-speed analog-to-digital converter completes digital sampling, and outputs a continuous time-domain digital sampling data stream; S102, background noise quantization acquisition, relying on the idle silent time slot of the frame structure, the communication working bandwidth is limited by in-band digital filtering, the power integral averaging of the pure noise signal is calculated, and the normalized background noise coefficient is output. S103. Electromagnetic Interference Intensity Quantification: Segmented windowed Fast Fourier Transform of baseband data to complete frequency domain decomposition; interference excess power calculated by comparing with reference spectrum at each frequency point; interference intensity normalization completed by combining time-domain power mutation detection and interference duty cycle statistics; output normalized comprehensive interference intensity. S104. Channel Fading Fluctuation Characteristic Statistics: Sliding window is used to statistically analyze the time-domain fluctuation variance of the signal to characterize the severity of fast fading; the attenuation slope of long-period signals is fitted to quantify the rate of slow fading degradation; output normalized channel fluctuation coefficient. S105. Environmental Degradation Calculation: Fixed-weight linear weighted fusion algorithm is used for three dimensionless normalized indicators: noise, interference, and signal fluctuation, coupling to obtain comprehensive environmental degradation. S106. Dynamic Safety Margin Calculation: Using environmental degradation as the independent variable, adaptive adjustment is achieved through exponential nonlinear mapping; after amplitude clamping, real-time dynamic safety margin is output. S107. Adaptive Threshold Generation: The dynamic safety margin is superimposed on the hardware-fixed demodulation threshold as a base to generate dynamic switching decision thresholds specific to each link.

8. The heterogeneous channel capacity margin assessment and adaptive handover method according to claim 6, characterized in that: The S2 heterogeneous channel margin assessment is performed sequentially as follows: S201, Separate the pilot effective signal power from the in-band noise and total interference power, and calculate the original signal-to-interference-plus-noise ratio (SINR) using the power ratio; Add strong and weak signal limiting correction to avoid hardware saturation and weak signal noise floor distortion, ensuring the consistency of multi-link measurements, and outputting the original real-time SINR data of multiple links; S202, Use exponentially weighted recursive filtering to suppress instantaneous spikes caused by pulse interference and fast fading, retain the long-term channel degradation trend, and output a continuous and stable steady-state SINR sequence; S203, Heterogeneous link correction, according to different... The propagation loss, frequency band attenuation, and multipath effect differences of the communication system are used to retrieve corresponding correction factors to perform baseline compensation on the steady-state signal-to-interference-plus-noise ratio (SIR), and output the corrected equalized steady-state SIR data; S204, using the dynamic switching threshold as the safety warning boundary, the remaining safety redundancy of the current link distance failure threshold is quantified by difference operation; S205, dimensionless normalization is performed with the dynamic threshold as the denominator to realize the horizontal comparison of links with different thresholds and different systems, and the dynamic sorting of multi-link priorities is completed according to the normalization margin, outputting the normalized channel margin and the global link optimization sequence, which are sent to the steady-state switching decision module.

9. The heterogeneous channel capacity margin assessment and adaptive handover method according to claim 6, characterized in that: The steady-state handover decision and parameter coordination adaptation in S3 are performed sequentially as follows: S301, window averaging of the normalized margin sampled values ​​over multiple consecutive cycles is performed to filter out occasional drops caused by instantaneous interference and extract long-term steady-state characteristics of the channel; S302, a dual-layer hysteresis threshold is set to prevent ping-pong handover in critical intervals; the link state is latched by a continuous degradation counter, and handover is deemed valid only if there is continuous degradation over multiple cycles, outputting a link warning flag and the final handover execution command; S303, it is determined whether the handover conditions are met. If they are met, proceed to S304, shut down the degraded main link, and simultaneously complete the carrier synchronization and timing of the backup link. Alignment and link handshake; seamless data packet continuation is completed through the baseband buffer queue to avoid service interruption; otherwise, return to step S101; S304, switch execution and service smoothness assurance: shut down the degraded main link, and simultaneously complete the carrier synchronization, timing alignment and link handshake of the backup link. At the same time, seamless data packet continuation is completed through the baseband buffer queue to avoid service interruption; S305, adjust the transmit power, modulation order and transmission rate according to the current channel margin negative feedback to match the transmit parameters with the real-time channel carrying capacity; S306, after the switch adaptation is completed, return to step S101 and continue to collect the next cycle of RF signals.

10. The heterogeneous channel capacity margin assessment and adaptive handover method according to claim 7, characterized in that: In step S102, a ratio normalization algorithm is used to eliminate hardware differences, and then a normalized background noise coefficient is output.

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