Helicopter emergency rescue positioning method and system

Abstract

The present application relates to the field of radio positioning technology, in particular to a kind of helicopter emergency rescue positioning method and system, comprising the following steps: ground base station through the initial positioning signal sent by helicopter in rescue area, the time stamp of signal is bound with signal data, the signal time mark data is generated by analyzing the relevance of data and time.In the present application, by using time axis reversal and adjusting signal amplitude, the signal quality is optimized, the stability and reliability of signal in interference environment are enhanced, through encoding processing, the signal can reduce loss in transmission process, the transmission effect of signal is optimized, the overall receiving efficiency of signal is improved, the ground base station uses signal propagation time difference and path change data, carries out multiple comparison, calculates helicopter position in real time, significantly improves the accuracy and efficiency of rescue positioning, realizes the goal of quick and accurate positioning in emergency rescue, improves the success rate and safety of rescue.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of radio positioning technology, in particular to a helicopter emergency rescue positioning method and system. BACKGROUND

[0002] Radio positioning technology involves using electromagnetic waves to locate objects in space. This technology mainly relies on the propagation characteristics of radio waves, such as frequency, phase and intensity, to determine the position of objects. Radio positioning technology includes GPS (Global Positioning System), radar positioning and radio beacon positioning, and has a wide range of applications in military, aviation, navigation and emergency rescue fields. In particular, in the field of emergency rescue, radio positioning can quickly and accurately find the accident site, improving the efficiency and safety of rescue.

[0003] Among them, the helicopter emergency rescue positioning method refers to using specific radio positioning technology to determine the precise position of the helicopter that needs to be rescued in an emergency. The main purpose is to quickly and accurately locate the helicopter when it encounters an accident or emergency, providing important geographic information for rescue operations. Through this technology, rescue teams can more effectively plan rescue routes and deploy rescue resources, significantly improving the speed and success rate of rescue, which is of great significance for improving helicopter flight safety and responding to emergencies.

[0004] Although existing radio positioning technology has been applied in many fields, it still faces some limitations in actual operation. For example, radio signals are easily disturbed in complex environments, affecting the accuracy of positioning. Traditional positioning technology does not fully consider the impact of environmental factors on signal quality during signal transmission, resulting in signal loss or error in some cases, affecting the efficiency and accuracy of rescue. This situation is particularly prominent in emergency rescue tasks that require quick response, and signal instability or error delays rescue operations and even affects life safety. Traditional technology still has obvious shortcomings in ensuring signal stability and accuracy in various environments. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art and propose a helicopter emergency rescue positioning method and system.

[0006] In order to achieve the above purpose, the present application adopts the following technical scheme, a helicopter emergency rescue positioning method, comprising the following steps:

[0007] S1: The ground base station binds the time stamp of the initial positioning signal sent by the helicopter in the rescue area with the signal data, generates signal time marker data by analyzing the correlation between data and time, through capturing the initial positioning signal sent by the helicopter in the rescue area;

[0008] S2: The ground base station uses the signal time stamp data to perform time axis reversal, adjusts the signal amplitude to the set optimal range, verifies the signal quality, and obtains the time-reversed signal;

[0009] S3: Encode the time-reversed signal to avoid the loss of the positioning signal in the interference environment, optimize the signal transmission effect, and retransmit the adjusted signal to generate an encoded reverse signal.

[0010] S4: The helicopter receives the coded inverted signal, performs signal decomposition, analyzes the differences in phase and intensity between the original signal and the received signal in the emergency rescue area, calculates the deviation value, and generates signal offset data.

[0011] S5: The helicopter adjusts its flight parameters based on the signal offset data, optimizes the positioning signal transmission point, checks the signal transmission distance, optimizes the signal reception speed and efficiency, and generates a path optimization signal.

[0012] S6: The ground base station receives the path optimization signal, uses the signal propagation time difference and path change data, compares multiple signal propagation data, calculates the real-time position of the helicopter, and generates rescue positioning coordinates.

[0013] As a further aspect of the present invention, the signal time stamp data includes the reception time, signal type, and strength of the positioning signal; the time reversal signal includes the reversed timestamp, the signal strength after adjustment, and the quality verification result; the encoding reversal signal includes the encoding style, signal transmission optimization data, and retransmission parameters; the signal offset data includes the phase difference, strength difference, and calculated deviation value between the original signal and the received signal; the path optimization signal includes the adjusted flight path, the detection result of the signal transmission distance, and the optimized signal reception speed and efficiency data; and the rescue positioning coordinates include position coordinates and position data obtained based on the time difference and path changes.

[0014] As a further aspect of the present invention, the ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the timestamp of the signal to the signal data, and generates signal timestamp data by analyzing the correlation between data and time. The specific steps are as follows:

[0015] S101: The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, records the arrival time of the signal and the raw data of the signal, and generates a signal reception record;

[0016] S102: Based on the signal reception record, associate the arrival time of the positioning signal with the signal data, check the consistency between each timestamp and the signal data, standardize each pair of time and data, and generate a time data pairing record;

[0017] S103: Based on the time data pairing records, analyze the correlation between each pair of time and data, extract key time markers and signal features, construct a signal time marker framework, and generate signal time marker data.

[0018] As a further aspect of the present invention, the ground base station uses the signal time stamp data to perform time axis reversal, adjusts the signal amplitude to a set optimal range, verifies the signal quality, and obtains the time-reversed signal. The specific steps are as follows:

[0019] S201: Using the signal time stamp data, the ground base station performs time axis reversal. By adjusting the time stamp of the signal data, the signal data is rearranged in reverse order. The continuity of the signal is verified using the adjusted time stamp, and time reversal adjustment data is generated.

[0020] S202: Based on the time reversal adjustment data, adjust the amplitude of the positioning signal to make the positioning signal amplitude reach the preset optimal range. By adjusting the signal strength to the target value, verify the clarity and transmission efficiency of the signal, and generate amplitude adjustment signal data.

[0021] S203: Adjust the signal data according to the amplitude, verify the quality of the positioning signal, check the stability and reliability of the signal, verify the consistency of the adjusted signal in the reception and transmission process, and obtain the time-reversed signal.

[0022] As a further aspect of the present invention, the time-reversed signal is encoded to avoid signal loss in interference environments, optimize signal transmission performance, and the adjusted signal is retransmitted. The specific steps for generating the encoded reversed signal are as follows:

[0023] S301: Using the time-reversal signal, perform the signal encoding process, optimize the stability of the positioning signal under interference environment, verify the error detection and correction capability of the signal by correcting the positioning information, and generate error correction results;

[0024] S302: Using the error correction results, take measures to avoid environmental interference in the rescue area, adjust the signal frequency to avoid the impact of external noise on signal quality, optimize the signal transmission effect in different environments, and generate interference avoidance signals;

[0025] S303: Using the interference avoidance signal, retransmit the adjusted signal, use signal transmission equipment and technology to verify the stability of the signal during long-distance transmission, and generate an inverted code signal.

[0026] As a further aspect of the present invention, the helicopter receives the encoded inverted signal, performs signal decomposition, analyzes the differences in phase and intensity between the original signal and the received signal in the emergency rescue area, calculates the deviation value, and generates signal offset data. The specific steps are as follows:

[0027] S401: The helicopter receives the coded inverted signal, deconstructs the signal into basic phase and intensity components, records and analyzes the core characteristics of the signal, and generates signal decomposition data;

[0028] S402: Based on the signal decomposition data, the wavelet transform method is used to perform multi-scale analysis on the original signal and the received signal in the emergency rescue area, record the phase and intensity differences of the signal during transmission, and generate phase intensity difference analysis data.

[0029] S403: Using the phase intensity difference analysis data, calculate the deviation between the original signal and the received signal, evaluate the signal transmission quality, provide guidance information for helicopter emergency rescue, and generate signal offset data.

[0030] As a further aspect of the present invention, the formula for the wavelet transform method is as follows:

[0031]

[0032] Where ΔS represents the signal intensity difference, W(a,b) represents the wavelet coefficients at scale a and location b, R represents the intensity of the received signal, and O represents the intensity of the original signal. The effect of scale adjustment for signal analysis is used to adjust for differences, where ∈ is the adjustment coefficient.

[0033] As a further aspect of the present invention, the helicopter adjusts its flight parameters based on the signal offset data, optimizes the positioning signal transmission point, checks the signal transmission distance, optimizes the signal reception speed and efficiency, and generates a path optimization signal, specifically through the following steps:

[0034] S501: Based on the signal offset data, the helicopter adjusts its flight altitude, speed, and heading to align with the source of the positioning signal, verifies the alignment between the flight trajectory and the signal source, and generates flight parameter adjustment data.

[0035] S502: Based on the flight parameter adjustment data, adjust the positioning signal transmission point, calculate and set the optimal signal transmission angle and power, maximize the signal coverage, and generate signal transmission point optimization data;

[0036] S503: Utilize the signal transmission point optimization data to check the real-time distance of signal transmission, evaluate and optimize the signal reception speed and efficiency, optimize the overall signal transmission performance by adjusting the frequency filtering settings, and generate a path-optimized signal.

[0037] As a further aspect of the present invention, the steps of receiving the path optimization signal from the ground base station, comparing multiple signal propagation data using the signal propagation time difference and path change data, calculating the real-time position of the helicopter, and generating rescue positioning coordinates are as follows:

[0038] S601: The ground base station receives the path optimization signal, records the propagation time difference and path change data of the signal each time, tracks the changing path and time interval of the signal, monitors the transmission effect and path stability of the signal, and generates a signal time path record.

[0039] S602: Based on the signal time path record, compare multiple signal propagation data, analyze the propagation characteristics of the signal in different times and paths, identify key changes and anomalies in the signal path, track the dynamic flow of the signal, and generate signal path comparison data.

[0040] S603: Calculate the real-time position of the helicopter using the signal path comparison data, and use the collected signal data to calculate and verify the consistency of the position information, providing geolocation support for the rescue operation and generating rescue positioning coordinates.

[0041] A helicopter emergency rescue positioning system, the helicopter emergency rescue positioning system being used to execute the above-described helicopter emergency rescue positioning method, the system comprising:

[0042] The signal acquisition module receives the initial positioning signal sent by the helicopter, records the timestamp and signal data of the signal, binds the timestamp and signal data, and generates signal time stamp data;

[0043] The timestamp adjustment module uses the signal timestamp data to perform time axis reversal, adjust the signal timestamp, calculate the optimal amplitude parameters, evaluate the signal state, verify the signal quality, and generate a time-reversed signal.

[0044] The signal retransmission module encodes the time-reversed signal to optimize the signal transmission effect under interference environment, avoid signal loss, and retransmit the signal to generate an encoded reverse signal.

[0045] The flight parameter adjustment module receives the encoded inverted signal, analyzes the phase and intensity differences in the signal, calculates the deviation value, adjusts the flight parameters, optimizes the transmission point of the positioning signal, checks the signal transmission distance, and generates a path optimization signal.

[0046] The real-time positioning calculation module uses the path optimization signal to track and locate the helicopter's position in real time based on the signal propagation time difference and path changes, and generates rescue positioning coordinates.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0048] In this invention, by combining timestamps and signal data, time-stamped signal data is generated, improving the accuracy of positioning signals in complex environments. By reversing the time axis and adjusting signal amplitude, signal quality is optimized, enhancing stability and reliability in interference environments. Through encoding processing, signal reversal reduces transmission loss, optimizes signal transmission, and improves overall signal reception efficiency. Helicopters analyze signal offset data to optimize flight parameters and positioning signal transmission points, effectively improving the accuracy and response speed of rescue operations. Ground base stations use signal propagation time difference and path change data for multiple comparisons, calculating the helicopter's position in real time, significantly improving the accuracy and efficiency of rescue positioning. Through precise signal control and optimization, the goal of rapid and accurate positioning in emergency rescues is achieved, increasing the success rate and safety of rescue efforts. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the workflow of the present invention;

[0050] Figure 2 This is a detailed flowchart of S1 of the present invention;

[0051] Figure 3 This is a detailed flowchart of the S2 process of the present invention;

[0052] Figure 4 This is a detailed flowchart of the S3 process of the present invention;

[0053] Figure 5 This is a detailed flowchart of the S4 process of the present invention;

[0054] Figure 6 This is a detailed flowchart of S5 of the present invention;

[0055] Figure 7 This is a detailed flowchart of S6 of the present invention;

[0056] Figure 8 This is a system flowchart of the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0058] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0059] Please see Figure 1 This invention provides a technical solution, a helicopter emergency rescue positioning method, comprising the following steps:

[0060] S1: The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the timestamp of the signal to the signal data, and generates signal timestamp data by analyzing the correlation between data and time.

[0061] S2: The ground base station uses the signal time stamp data to perform time axis reversal, adjusts the signal amplitude to the set optimal range, and uses the adjusted time stamp to verify the continuity and quality of the signal, thus obtaining the time-reversed signal;

[0062] S3: Encode the time-reversed signal to avoid loss of positioning signal in interference environment, optimize signal transmission effect, and retransmit the adjusted signal to generate coded reverse signal;

[0063] S4: The helicopter receives the coded inverted signal, decomposes the signal, analyzes the differences in phase and intensity between the original signal and the received signal in the emergency rescue area, calculates the deviation value, and generates signal offset data.

[0064] S5: The helicopter adjusts its flight parameters based on the signal offset data, optimizes the positioning signal transmission point, checks the shortest straight-line distance for signal transmission, optimizes the signal reception speed and efficiency, and generates a path optimization signal.

[0065] S6: The ground base station receives the path optimization signal, uses the signal propagation time difference and path change data, compares the signal propagation data from multiple times, calculates the helicopter's real-time position, and generates rescue positioning coordinates.

[0066] The signal time stamp data includes the reception time, signal type, and strength of the positioning signal; the time-reversed signal includes the reversed timestamp, the adjusted signal strength, and the quality verification results; the encoded inversion signal includes the encoding pattern, signal transmission optimization data, and retransmission parameters; the signal offset data includes the phase difference, strength difference, and calculated deviation value between the original and received signals; the path optimization signal includes the adjusted flight path, the detection results of the signal transmission distance, and the optimized signal reception speed and efficiency data; and the rescue positioning coordinates include the location coordinates and the location data obtained based on the time difference and path changes.

[0067] Please see Figure 2 The ground base station captures the initial positioning signal sent by the helicopter in the rescue area, binds the signal's timestamp to the signal data, and generates signal timestamp data by analyzing the correlation between data and time. The specific steps are as follows:

[0068] S101: The execution flow of the ground base station capturing the initial positioning signal sent by the helicopter in the rescue area, recording the arrival time of the signal and the raw data of the signal, and generating the signal reception record is as follows;

[0069] The ground base station receives the positioning signal sent by the helicopter in the rescue area and records the arrival time and raw data of the signal. This is a crucial initial signal acquisition process. High-precision clock synchronization technology ensures the accuracy of the time recording. The signal processing unit inside the base station begins to perform preliminary decoding and verification of the received data to ensure the integrity and readability of the data. The data is stored in a database for subsequent analysis. The arrival timestamp of each signal is obtained through the ground base station's synchronization clock system. The system can record time with millisecond-level accuracy to ensure a high degree of consistency between the timeline of subsequent data processing and the signal data, forming a signal reception record.

[0070] S102: Based on the signal reception record, the arrival time of the positioning signal is associated with the signal data, the consistency between each timestamp and the signal data is checked, and each pair of time and data is standardized to generate time data pairing records. The execution flow is as follows:

[0071] Standardize each pair of time and data according to the formula. Calculate the standardized time. Where t i t represents the arrival time of each signal, t0 represents the reference time at the start of recording, c represents the standardization coefficient, and Δ represents the time interval. Detailed explanation and derivation of the formula: In the formula, t... i It is obtained directly from the signal reception record, t0 is a selected fixed reference point, and c and Δ are standardized parameters determined through data analysis. iTaking t0 = 12:00:00, c = 1, and Δ = 60 seconds as an example, the calculation process is as follows: Minutes. This indicates that standardization can transform time data into a form more suitable for analysis.

[0072] S103: Based on time data pairing records, analyze the correlation between each pair of time and data, extract key time markers and signal features, construct a signal time marker framework, and generate signal time marker data. The execution flow is as follows:

[0073] Based on time data pairing records, the correlation between each pair of time and data is analyzed. The steps involve extracting key time markers and signal features from the paired data and establishing a signal time-stamping framework to optimize the signal parsing and utilization process. By using advanced data correlation analysis techniques, such as correlation coefficient calculation and regression analysis, the statistical significance between time and data is confirmed, and signal patterns directly related to the rescue mission are identified in the dataset to guide rescue operations and ensure maximum rescue efficiency. The results of the correlation analysis help improve the accuracy and response speed of signal processing, ensuring that key signals can still be accurately captured and utilized in complex environments, and generating signal time-stamped data.

[0074] Please see Figure 3 The ground base station uses the signal time stamp data to perform time axis reversal, adjusts the signal amplitude to the set optimal range, verifies the signal quality, and obtains the time-reversed signal. The specific steps are as follows:

[0075] S201: Using signal time stamp data, the ground base station performs time axis reversal. By adjusting the time stamp of the signal data, the signal data is rearranged in reverse order. The continuity of the signal is verified using the adjusted time stamp. The execution flow for generating time reversal adjustment data is as follows.

[0076] By adjusting the time stamp of the signal data, the signal data is rearranged in reverse order, according to formula T. ′ =T max -(t i -t0), calculate the time stamp after the time axis is reversed. Where T ′ T represents the inverted time stamp. max t represents the maximum time value in the record. i Represents the original time stamp, t0 represents the start time. Detailed formula explanation and calculation derivation: Set T... max =23:59:00, t i =12:00:05, t0=12:00:00, then T ′=23:59:00-(12:00:05-12:00:00)=23:58:55. The process reverses the original time stamp, providing a basis for subsequent verification of signal continuity. The reversed time stamp helps to detect discontinuous parts of the signal, improving data processing efficiency and signal reliability.

[0077] S202: Based on time reversal adjustment data, adjust the amplitude of the positioning signal to make the positioning signal amplitude reach the preset optimal range. By adjusting the signal strength to the target value, verify the clarity and transmission efficiency of the signal. The execution flow for generating amplitude adjustment signal data is as follows.

[0078] The time-reversal adjustment data is used to further adjust the amplitude of the positioning signal to ensure that it reaches the preset optimal range. The steps involve fine-tuning the signal amplitude. By dynamically adjusting the signal strength, the target value is reached or approached. During the process, the adjusted time stamp is used to verify the clarity and transmission efficiency of the signal. The adjustment is executed by a digital signal processor to ensure the best performance of the signal in different environments. The purpose of implementing amplitude adjustment is to improve the communication quality within the signal coverage area and ensure clear transmission and reception of information in emergency situations. The signal strength adjustment is based on the data measured on the ground. The adjusted amplitude range is determined based on the theory of signal propagation and the actual measured values, generating amplitude adjustment signal data.

[0079] S203: Based on the amplitude adjustment signal data, perform quality verification of the positioning signal, check the stability and reliability of the signal, verify the consistency of the adjusted signal in the reception and transmission process, and obtain the execution flow of the time reversal signal as follows;

[0080] Based on the amplitude adjustment signal data, the quality of the positioning signal is verified, and the stability and reliability of the signal are checked. This includes verifying the consistency of the adjusted signal during reception and transmission, as well as testing the overall performance of the signal to ensure stable output under any environment. By comprehensively evaluating the signal transmission path and environmental factors, the evaluation team uses advanced signal testing equipment to monitor and record the signal performance, such as frequency response and waveform distortion. Each test is to verify that the adjusted signal can maintain high efficiency and accuracy in practical applications, which is a key step to ensure reliable signal transmission under various conditions. The test results form a time-reversed signal, providing data support for further signal optimization and application.

[0081] Please see Figure 4 The process of encoding the time-reversed signal to avoid signal loss in interference environments, optimizing signal transmission, and then retransmitting the adjusted signal, specifically involves the following steps to generate the encoded inverted signal:

[0082] S301: Utilizing the time-reversal signal, the signal encoding process is executed to optimize the stability of the positioning signal under interference. By correcting the positioning information, the error detection and correction capabilities of the signal are verified, and the error correction results are generated. The execution flow is as follows:

[0083] The time-reversal signal encoding process utilizes a special process where the signal undergoes special processing before transmission. During propagation, time is reversed to resist path loss and interference, allowing the signal to maintain structural integrity in multipath or complex environments. This enables more accurate decoding at the receiving end, making it particularly suitable for environments where signals are easily interfered with, such as urban or underground locations. Time-reversal processing enhances the signal's adaptability to environmental changes by simulating the reverse process of signal propagation, optimizes the transmission quality and stability of the signal in interference environments, and generates error correction results by correcting positioning information and calculating positioning errors.

[0084] S302: Using the error correction results, take measures to avoid environmental interference in the rescue area, adjust the signal frequency to avoid the impact of external noise on signal quality, optimize the signal transmission effect in differentiated environments, and generate the following execution flow for interference avoidance signals;

[0085] Using the error correction results, measures are taken to avoid environmental interference in the rescue area, including adjusting the signal frequency. The aim is to minimize the impact of external noise on signal quality. The signal frequency adjustment is based on on-site environmental noise data. By analyzing the frequency response diagram and noise spectrum, the most interfered frequency band is determined, and the signal frequency is set outside the frequency band to effectively avoid noise. The process utilizes advanced frequency adjustment equipment to ensure that the signal transmission effect is optimized in differentiated environments. Through this adjustment, the signal transmission path and conditions are reassessed and configured to adapt to constantly changing environmental conditions, ensuring clear and reliable communication during rescue operations and generating interference avoidance signals.

[0086] S303: By interfering with and avoiding the signal, the adjusted signal is retransmitted. The signal transmission equipment and technology are used to verify the stability of the signal during long-distance transmission. The execution flow for generating the coded inverted signal is as follows;

[0087] By interfering with and circumventing the signal, the adjusted signal is retransmitted. Signal transmission equipment and techniques are used to verify the stability of the signal during long-distance transmission. This includes using high-performance transmitters and receivers and various transmission media (such as fiber optics or radio waves). During implementation, various signal parameters are monitored in real time to ensure transmission continuity and stability. The technical team precisely adjusts the transmission power and receiver sensitivity to adapt to different transmission distances and environmental conditions. The signal is retransmitted after special encoding to increase the integrity and security of the transmitted data, ensuring that critical information reaches its destination without any loss or interference. This provides evidence of the reliability of signal transmission in extreme or complex environments and generates an inverted encoded signal.

[0088] Please see Figure 5 The helicopter receives the coded inverted signal, decomposes the signal, analyzes the differences in phase and intensity between the original signal and the received signal in the emergency rescue area, calculates the deviation value, and generates signal offset data. The specific steps are as follows:

[0089] S401: The helicopter receives the encoded inverted signal, deconstructs the signal into basic phase and intensity components, records and analyzes the core characteristics of the signal, and generates signal decomposition data. The execution flow is as follows:

[0090] The signal is deconstructed into its basic phase and intensity components, and its core characteristics are recorded and analyzed according to the formula P = ∑(φ i ·I i ), calculate the signal decomposition data. Where P represents the overall representation value of the signal, φ i I represents the phase component of the signal. i This represents the intensity component of the signal. Detailed formula explanation and derivation: If the signal consists of multiple components of different frequencies, the phase φ of each component... i and intensity I i Measured by the sensors of the receiving device, for example, if one component has a phase of 30° (i.e., π / 6 radians) and an intensity of 5 units, and another component has a phase of 45° (i.e., π / 4 radians) and an intensity of 3 units, then P = (π / 6·5) + (π / 4·3) = 2.618 + 2.356 = 4.974. This calculation helps extract the most critical transmission characteristics in complex signal environments, enabling more in-depth analysis and application.

[0091] S402: Based on signal decomposition data, wavelet transform method is used to perform multi-scale analysis on the original and received signals in the emergency rescue area, record the phase and intensity differences of the signal during transmission, and generate phase intensity difference analysis data. The execution flow is as follows:

[0092] The formula for the wavelet transform method is as follows:

[0093]

[0094] Where ΔS represents the signal intensity difference, W(a,b) represents the wavelet coefficients at scale a and location b, R represents the intensity of the received signal, and O represents the intensity of the original signal. The effect of scale adjustment for signal analysis is used to adjust for differences, where ∈ is the adjustment coefficient.

[0095] formula:

[0096]

[0097] Detailed explanation of the formula and its calculation derivation:

[0098] Parameter definition and acquisition methods

[0099] 1. W(a,b) represents the wavelet coefficients, obtained by performing a wavelet transform on the signal. Wavelet transform is a technique for analyzing the frequency of variables, allowing for localized frequency analysis of signals at different scales. The Daubechies wavelet is used for the transform, with scale a=2 and position b=0 selected for calculation. The coefficients are calculated in signal processing software.

[0100] 2. R and O represent the strength values ​​of the received and raw signals, respectively, and the data are obtained through real-time monitoring by sensors. The actual monitored received signal strength is set to R = 5.2 units, and the raw signal strength is set to O = 4.8 units.

[0101] 3. is a scaling factor, adjusted according to the wavelet transform scale 'a', used to standardize the influence of signal features at different scales.

[0102] 4. ∈ is a stability factor used to adjust the sensitivity of the wavelet transform and prevent overfitting. Based on signal processing experience, a value of 0.05 is set to ensure the accuracy and stability of the analysis results.

[0103] Formula Derivation and Calculation

[0104] 1. Wavelet coefficient calculation: Wavelet coefficients obtained through actual data transformation at scale a=2 and position b=0:

[0105] W(2,0)=1.8

[0106] 2. Signal strength difference: Calculate |RO|, where R = 5.2 and O = 4.8.

[0107] |RO|=|5.2-4.8|=0.4

[0108] 3. Formula substitution and calculation:

[0109]

[0110] The results show that, at a given scale and location, the difference in phase and intensity between the original and received signals after wavelet transform is 10.18. This indicates significant variations during signal transmission, caused by interference from the propagation medium or signal attenuation. The numerical results provide emergency rescue teams with a quantitative assessment of signal integrity, aiding in further analysis of problems encountered during signal transmission. In this way, changes in signal quality can be identified more accurately, allowing for appropriate measures to adjust and optimize rescue communication strategies.

[0111] S403: Using phase intensity difference analysis data, the deviation between the original signal and the received signal is calculated to evaluate the signal transmission quality and provide guidance information for helicopter emergency rescue. The execution process for generating signal offset data is as follows;

[0112] Calculating the deviation between the original and received signals using phase intensity difference analysis data is a crucial step in evaluating signal transmission quality. By comparing the phase and intensity data of the original and received signals, the technical team can accurately identify distortions or deviations during transmission. The deviation calculation is based on a formula. Where p o and p r The phases of the original and received signals are represented by O and R, respectively, and the intensity is represented by R. The process not only reveals the stability and reliability of the signal during transmission, but also provides a basis for adjusting the signal transmission or processing strategy, ensuring that the guidance information received by the helicopter in emergency rescue operations is accurate. The signal offset data is the key data for achieving precise navigation and positioning, and has a direct impact on improving the rescue effect.

[0113] Please see Figure 6 The helicopter adjusts its flight parameters based on signal offset data, optimizes the positioning signal transmission point, checks the signal transmission distance, optimizes signal reception speed and efficiency, and generates a path optimization signal. The specific steps are as follows:

[0114] S501: The helicopter executes the following process to generate flight parameter adjustment data by changing its flight altitude, speed, and heading based on the signal offset data, thereby aligning itself with the source of the positioning signal, verifying the alignment between the flight trajectory and the signal source, and adjusting the flight parameters.

[0115] By changing the flight altitude, speed, and heading, aligning with the source of the positioning signal, and following the formula... Calculate flight parameter adjustment data. In the formula, Δx represents the comprehensive parameters of flight adjustment, h represents the change in flight altitude, v represents the change in speed, and d represents the deviation angle of heading. Detailed explanation and derivation of the formula: Setting the change in flight altitude to 200 meters, the change in speed to 50 km / h, and the heading deviation to 30 degrees, after converting to basic units (speed units to m / s, angles to radians), the calculation can be performed: h = 200, The combined parameters indicate that with appropriate flight adjustments, the aircraft can effectively align with the signal source, improving the accuracy and efficiency of rescue operations.

[0116] S502: Based on flight parameter adjustment data, the positioning signal transmission point is adjusted, the optimal signal transmission angle and power are calculated and set to maximize the signal coverage. The execution flow for generating optimized signal transmission point data is as follows;

[0117] Based on flight parameter adjustment data, the positioning signal transmission point was adjusted, including calculating and setting the optimal signal transmission angle and power to maximize signal coverage. Through a precise calculation model, considering the physical characteristics of signal propagation and environmental factors such as air humidity, temperature, and terrain, the technical team determined the optimal transmission angle and power settings to ensure that the signal could be received over the largest possible range while maintaining optimal transmission efficiency. Through experiments and field tests, the model was continuously adjusted to adapt to actual operating conditions. The generated optimized signal transmission point data provided crucial technical support for rescue operations, ensuring stable signal transmission and effective coverage.

[0118] S503: Utilize signal transmission point optimization data, verify the real-time distance of signal transmission, evaluate and optimize signal reception speed and efficiency, optimize the overall signal transmission performance by adjusting frequency filtering settings, and generate path-optimized signals. The execution flow is as follows:

[0119] By optimizing data from signal transmission points, verifying real-time signal transmission distance, and evaluating and optimizing signal reception speed and efficiency, the process includes adjusting frequency filtering settings to optimize overall signal transmission performance. Through the use of advanced signal processing techniques and modulation strategies, the technical team adjusts the signal's frequency response, reduces interference, and improves overall signal quality. Experimental data and scenario simulations help determine the optimal frequency settings to ensure effective signal transmission in various environments. Adjustments ensure high efficiency and speed during long-distance transmission. The generated path-optimized signals provide an efficient communication solution for rescue operations, ensuring accurate information delivery at critical moments.

[0120] Please see Figure 7The specific steps for a ground base station to receive path optimization signals, utilize signal propagation time difference and path change data, compare multiple signal propagation data, calculate the helicopter's real-time position, and generate rescue positioning coordinates are as follows:

[0121] S601: The execution flow of the ground base station receiving path optimization signals, recording the propagation time difference and path change data of each signal, tracking the changing path and time interval of the signal, monitoring the transmission effect and path stability of the signal, and generating signal time path records is as follows;

[0122] Record the time difference and path change data of each signal propagation, track the signal's changing path and time interval, and calculate using the formula Δt = t n -t n-1 Calculate the signal time path record. In the formula, Δt represents the time difference between two adjacent signals, t... n t represents the current signal reception time. n-1 This represents the reception time of the previous signal. Detailed formula explanation and calculation derivation: Set the reception time t of the current signal. n It is 12:05:30, the previous signal reception time t n-1 If the time is 12:05:00, then the time difference Δt = 12:05:30 - 12:05:00 = 30 seconds. This calculation method helps monitor signal transmission effectiveness and path stability by recording and analyzing the time difference. It can effectively track signal changes and assess the continuity and reliability of signal transmission.

[0123] S602: Based on the signal time path record, compare multiple signal propagation data, analyze the propagation characteristics of the signal in different times and paths, identify key changes and anomalies in the signal path, track the dynamic flow of the signal, and generate signal path comparison data. The execution flow is as follows:

[0124] Based on signal time path records, multiple signal propagation data are compared to analyze the propagation characteristics of signals at different times and paths. The process involves identifying key changes and anomalies in the signal path. Through data analysis tools and statistical methods, the technical team is able to track and identify the dynamic flow of signals. Comparative analysis reveals different modes of signal propagation and potential interference factors, which is of great significance for optimizing signal transmission strategies and improving the accuracy of signal transmission. It ensures communication reliability in complex environments. The generated signal path comparison data is an important foundation for optimizing signal transmission paths and time efficiency, and provides real-time dynamic monitoring and early warning information.

[0125] S603: By comparing signal path data, the real-time position of the helicopter is calculated. Using multiple collected signal data, the consistency of the position information is calculated and verified to provide geolocation support for rescue operations. The execution process for generating rescue positioning coordinates is as follows:

[0126] By comparing signal path data, the real-time position of the helicopter is calculated. Utilizing multiple collected signal data points, the consistency of the position information is calculated and verified. This is a crucial step in providing geolocation support for rescue operations. Through high-precision positioning and geographic information systems, the technical team is able to extract accurate position information from complex signal data. The calculation of position information is based on multi-point measurements and signal strength analysis, ensuring a high degree of consistency and accuracy in the positioning data. The generated rescue positioning coordinates are important data for effective rescue deployment and strategy planning. The data directly supports the efficient execution of rescue operations, ensuring that rescue resources can accurately and quickly reach the location where assistance is needed.

[0127] Please see Figure 8 A helicopter emergency rescue positioning system, used to execute the above-mentioned helicopter emergency rescue positioning method, the system comprising:

[0128] The signal acquisition module receives the initial positioning signal sent by the helicopter, records the timestamp and signal data of the signal, binds the timestamp and signal data, and generates signal time stamp data;

[0129] The timestamp adjustment module uses the signal timestamp data to perform time axis reversal, adjust the signal timestamp, calculate the optimal amplitude parameters, evaluate the signal status, verify the signal quality, and generate a time-reversed signal.

[0130] The signal retransmission module encodes the time-reversed signal to optimize its transmission performance in interference environments, avoid signal loss, and retransmit the signal to generate an encoded inverted signal.

[0131] The flight parameter adjustment module receives the coded inverted signal, analyzes the phase and intensity differences in the signal, calculates the deviation value, adjusts the flight parameters, optimizes the transmission point of the positioning signal, checks the signal transmission distance, and generates a path optimization signal.

[0132] The real-time positioning calculation module uses path optimization signals to track and locate the helicopter's position in real time based on the signal propagation time difference and path changes, generating rescue positioning coordinates.

[0133] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A helicopter emergency rescue positioning method, characterized in that, Includes the following steps: Ground base stations capture the initial positioning signals sent by helicopters in the rescue area, bind the timestamps of the signals to the signal data, and generate signal timestamp data by analyzing the correlation between data and time. The ground base station uses the signal time stamp data to perform time axis reversal, adjusts the signal amplitude to a set optimal range, verifies the signal quality, and obtains a time-reversed signal. The specific steps are as follows: S201: Using the signal time stamp data, the ground base station performs time axis reversal. By adjusting the time stamp of the signal data, the signal data is rearranged in reverse order. The continuity of the signal is verified using the adjusted time stamp, and time reversal adjustment data is generated. S202: Based on the time reversal adjustment data, adjust the amplitude of the positioning signal to make the positioning signal amplitude reach the preset optimal range. By adjusting the signal strength to the target value, verify the clarity and transmission efficiency of the signal, and generate amplitude adjustment signal data. S203: Adjust the signal data according to the amplitude, verify the quality of the positioning signal, check the stability and reliability of the signal, verify the consistency of the adjusted signal in the reception and transmission process, and obtain the time-reversed signal; The time-reversed signal is encoded to avoid signal loss in interference environments, optimize signal transmission, and the adjusted signal is retransmitted to generate the encoded reversed signal. The specific steps are as follows: S301: Using the time-reversal signal, perform the signal encoding process, optimize the stability of the positioning signal under interference environment, verify the error detection and correction capability of the signal by correcting the positioning information, and generate error correction results; S302: Using the error correction results, take measures to avoid environmental interference in the rescue area, adjust the signal frequency to avoid the impact of external noise on signal quality, optimize the signal transmission effect in different environments, and generate interference avoidance signals; S303: Using the interference avoidance signal, retransmit the adjusted signal, and use signal transmission equipment and technology to verify the stability of the signal during long-distance transmission, and generate an inverted code signal; The helicopter receives the coded inverted signal, decomposes the signal, analyzes the differences in phase and intensity between the original signal and the received signal in the emergency rescue area, and calculates the deviation value based on the formula. ,in These represent the phases of the original and received signals, respectively. To determine the intensity, generate signal offset data; Based on the signal offset data, the helicopter adjusts its flight parameters, optimizes the positioning signal transmission point, checks the signal transmission distance, optimizes the signal reception speed and efficiency, and generates a path optimization signal. The ground base station receives the path optimization signal, uses the signal propagation time difference and path change data, compares multiple signal propagation data, calculates the helicopter's real-time position, and generates rescue positioning coordinates.

2. The helicopter emergency rescue positioning method according to claim 1, characterized in that, The signal time stamp data includes the reception time, signal type, and strength of the positioning signal; the time reversal signal includes the reversed timestamp, the adjusted signal strength, and the quality verification result; the encoding reversal signal includes the encoding style, signal transmission optimization data, and retransmission parameters; the signal offset data includes the phase difference, strength difference, and calculated deviation value between the original signal and the received signal; the path optimization signal includes the adjusted flight path, the detection result of the signal transmission distance, and the optimized signal reception speed and efficiency data; and the rescue positioning coordinates include the location coordinates and the location data obtained based on the time difference and path changes.

3. A helicopter emergency rescue positioning system, characterized in that, The helicopter emergency rescue positioning method according to any one of claims 1-2, wherein the system comprises: The signal acquisition module receives the initial positioning signal sent by the helicopter, records the timestamp and signal data of the signal, binds the timestamp and signal data, and generates signal time stamp data; The timestamp adjustment module uses the signal timestamp data to perform time axis reversal, adjust the signal timestamp, calculate the optimal amplitude parameters, evaluate the signal state, verify the signal quality, and generate a time-reversed signal. The signal retransmission module encodes the time-reversed signal to optimize the signal transmission effect under interference environment, avoid signal loss, and retransmit the signal to generate an encoded reverse signal. The flight parameter adjustment module receives the encoded inverted signal, analyzes the phase and intensity differences in the signal, calculates the deviation value, adjusts the flight parameters, optimizes the transmission point of the positioning signal, checks the signal transmission distance, and generates a path optimization signal. The real-time positioning calculation module uses the path optimization signal to track and locate the helicopter's position in real time based on the signal propagation time difference and path changes, and generates rescue positioning coordinates.

Images