Iridium monitoring and early warning system and method

Abstract

The embodiment of the invention provides an iridium satellite monitoring and early warning system and method, and belongs to the wireless communication signal monitoring technology. The system comprises a signal acquisition subsystem used for acquiring wireless signals in an iridium communication frequency band; the signal processing subsystem is connected with the signal acquisition subsystem and is used for performing iridium communication characteristic-oriented processing on the wireless signal so as to obtain analyzable effective signal data; the information analysis subsystem is connected with the signal processing subsystem and is used for analyzing the effective signal data and generating communication information for representing iridium communication activity; and the monitoring and early warning subsystem is connected with the information analysis subsystem and is used for executing monitoring analysis based on the communication information and outputting a corresponding monitoring result or early warning information. According to the scheme of the invention, acquisition, processing, analysis, monitoring and early warning of iridium communication signals are integrated in a unified system architecture, and continuous monitoring, structured analysis and timely early warning output of iridium communication activities are realized.

Description

Technical Field

[0001] This invention relates to the field of wireless communication signal monitoring technology, and specifically to an Iridium satellite monitoring and early warning system and method. Background Technology

[0002] Current technology for monitoring Iridium satellites employs traditional broadband signal search and recording systems. These systems typically use broadband receivers to scan and monitor the Iridium satellite's frequency band, recording and acquiring data upon signal detection. The main drawback of this approach is:

[0003] 1) Wideband receivers are not very specific to the Iridium band. Data is collected by the receiver and then transmitted to the terminal for decoding, which puts a lot of pressure on data processing and is inefficient. In addition, the receiving sensitivity is also low, and the sensitivity decreases as the bandwidth increases.

[0004] 2) Typically, only uplink and downlink signals can be monitored and received. It is impossible to associate and match uplink (from user terminal to satellite) and downlink (from satellite to user terminal or gateway) signals in real time, resulting in isolated signals. It is difficult to restore the complete communication link and business logic, and it is impossible to realize the real-time association and mapping of identity information (IMEI (International Mobile Equipment Identity), IMSI (International Mobile Subscriber Identity), TMIS (Temporary Mobile Identity), peer number, etc., based on the identity carried by the actual signal in the air), location information, and business information (voice, SMS, SBD (Short Burst Data), ACARS (Aircraft Communications Addressing and Reporting System), email).

[0005] 3) Multiple users on Iridium satellites may simultaneously operate at multiple frequencies within the broadband, making it difficult to achieve continuous and stable acquisition and analysis.

[0006] 4) The system's units (receiving, processing, and storage) are discrete, resulting in poor real-time performance and an inability to meet the requirements for rapid response and early warning of instantaneous communication events.

[0007] In summary, there is an urgent need for an integrated monitoring and early warning solution that can acquire, process, and analyze signals based on the characteristics of Iridium satellite communication, so as to achieve effective monitoring and early warning of Iridium satellite communication activities while ensuring system integration and real-time performance. Summary of the Invention

[0008] The purpose of this invention is to provide an Iridium satellite monitoring and early warning system and method, so as to at least solve the problem that Iridium satellite communication signals are difficult to process, analyze and correlate effectively in the prior art.

[0009] To achieve the above objectives, the first aspect of the present invention provides an Iridium satellite monitoring and early warning system, the system comprising: The signal acquisition subsystem is used to acquire wireless signals within the Iridium satellite communication frequency band. A signal processing subsystem, connected to the signal acquisition subsystem, is used to perform processing on the wireless signal in accordance with the Iridium satellite communication characteristics to obtain resolvable and effective signal data; An information parsing subsystem, connected to the signal processing subsystem, is used to parse the effective signal data and generate communication information to characterize Iridium satellite communication activities; The monitoring and early warning subsystem is connected to the information parsing subsystem and is used to perform monitoring and analysis based on the communication information, and output the corresponding monitoring results or early warning information.

[0010] Optionally, the signal processing subsystem is configured to perform digital channelization processing on the wireless signal output by the signal acquisition subsystem, wherein the channelization processing includes: Based on a preset frequency division rule, bandpass filtering is performed on the wireless signal to suppress non-target frequency band signals and form an input signal that meets the channel division conditions. The wireless signal after bandpass filtering is subjected to sampling rate conversion processing to match the signal sampling rate with the channel bandwidth and frequency resolution corresponding to the preset frequency division rule. The frequency domain is divided based on the wireless signal after sampling rate transformation, and signal data corresponding to multiple frequency sub-bands are generated. Energy calculation or time-frequency feature extraction is performed on the signal data of each frequency sub-band; Based on the energy distribution or time-frequency characteristics corresponding to each frequency sub-band, the target sub-band containing Iridium satellite communication signals is determined, and the signal data corresponding to the target sub-band is used as valid signal data.

[0011] Optionally, after determining the target subband, the signal processing subsystem is further configured to perform burst signal detection processing on the signals within the target subband, wherein the burst signal detection processing includes: Perform a sliding window analysis on the target subband signal in the time dimension; Identify burst signal segments based on parameters such as signal energy changes, frequency shifts, or durations within a window; The identified burst signal segments are marked or filtered to form a dataset of valid signal data.

[0012] Optionally, the information parsing subsystem is configured to perform demodulation processing on the valid signal data, and based on the demodulation processing, to perform framing and field parsing of the data according to the Iridium communication protocol structure, wherein the field parsing includes: The position of each data field in the time domain or frequency domain is determined according to the preset frame structure rules; Perform bit-level or symbol-level parsing processing on the corresponding field; The parsed data fields are combined to generate communication information that characterizes Iridium satellite communication activities.

[0013] Optionally, the information parsing subsystem is further configured to perform correlation processing on the communication information parsed from different time periods or different frequency subbands, wherein the correlation processing includes: The communication information is matched based on its time characteristics, frequency characteristics, or frame structure characteristics. Merge the communication information corresponding to the matching results into the same communication activity record; Output associated communication information used to characterize continuous or related Iridium satellite communication behavior.

[0014] Optionally, the monitoring and early warning subsystem is configured to perform statistical analysis on the communication information or the associated communication information, wherein the statistical analysis includes: Statistical analysis of the distribution characteristics of communication information in the time or frequency dimension; Generate corresponding communication activity feature parameters based on preset statistical rules; The communication activity characteristic parameters are used as input data for monitoring and judgment.

[0015] Optionally, the monitoring and early warning subsystem is further configured to perform rule-based decision-making processing based on the communication activity characteristic parameters, wherein the rule-based decision-making processing includes: The communication activity characteristic parameters are compared with preset monitoring rules; When the comparison results meet the preset conditions, a corresponding monitoring event record is generated. The monitoring event records are stored or output to form the monitoring results or early warning information.

[0016] A second aspect of the present invention provides an Iridium satellite monitoring and early warning method, the method being implemented based on the aforementioned Iridium satellite monitoring and early warning system. The method includes: acquiring wireless signals within the Iridium satellite communication frequency band; performing signal processing on the wireless signals to obtain resolvable and effective signal data; parsing the effective signal data to generate communication information characterizing Iridium satellite communication activities; performing monitoring analysis based on the communication information, and outputting corresponding monitoring results or early warning information.

[0017] Optionally, signal processing oriented towards Iridium communication characteristics is performed on the wireless signal to obtain resolvable and valid signal data, including: dividing the wireless signal into frequency domains based on a preset frequency division rule to generate signal data corresponding to multiple frequency sub-bands; performing energy calculation or time-frequency feature extraction on the signal data of each frequency sub-band; determining the target sub-band containing Iridium communication signals based on the energy distribution or time-frequency features corresponding to each frequency sub-band, and using the signal data corresponding to the target sub-band as valid signal data; performing sliding window analysis on the target sub-band signal in the time dimension; identifying burst signal segments based on signal energy changes, frequency offsets, or duration parameters within the window; and marking or filtering the identified burst signal segments to form a dataset consisting of valid signal data.

[0018] On the other hand, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the aforementioned Iridium satellite monitoring and early warning method.

[0019] Through the above technical solution, this invention establishes a continuous processing link at the system architecture level for the acquisition, processing, analysis, and monitoring and early warning of Iridium communication signals. This allows Iridium communication signals to directly enter the processing and analysis flow tailored to Iridium communication characteristics after acquisition, avoiding the timeliness issues caused by scattered signal processing and post-decoding in existing technologies. By performing processing on the wireless signals specifically designed for Iridium communication characteristics, resolvable and effective signal data can be obtained, and further, communication information characterizing Iridium communication activities can be generated, thus providing a unified data foundation for subsequent monitoring and analysis. Based on this, the monitoring and early warning subsystem performs analysis and judgment based on the communication information, enabling the system to continuously monitor and respond promptly to Iridium communication activities. This facilitates the overall perception and early warning output of communication behavior, meeting the requirements for real-time performance and system integration in Iridium communication monitoring scenarios.

[0020] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0021] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a system structure diagram of an Iridium satellite monitoring and early warning system provided in one embodiment of the present invention; Figure 2 This is a schematic diagram of the specific implementation structure of the Iridium satellite monitoring and early warning system provided in one embodiment of the present invention; Figure 3 This is a flowchart of the steps of an Iridium satellite monitoring and early warning method provided in one embodiment of the present invention. Detailed Implementation

[0022] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0023] Figure 1 This is a system structure diagram of an Iridium satellite monitoring and early warning system provided in one embodiment of the present invention. Figure 1 As shown, this invention provides an Iridium satellite monitoring and early warning system. The system includes: a signal acquisition subsystem for acquiring wireless signals within the Iridium communication frequency band; a signal processing subsystem connected to the signal acquisition subsystem for processing the wireless signals according to the Iridium communication characteristics to obtain resolvable and valid signal data; an information parsing subsystem connected to the signal processing subsystem for parsing the valid signal data to generate communication information characterizing Iridium communication activities; and a monitoring and early warning subsystem connected to the information parsing subsystem for performing monitoring analysis based on the communication information and outputting corresponding monitoring results or early warning information.

[0024] In this embodiment of the invention, the implementation addresses the problems of fragmented processing links, difficulties in parsing and correlating information, and challenges in timely early warning judgments in actual monitoring scenarios of Iridium communication signals. It unifies the overall system structure by incorporating signal acquisition, signal processing, information parsing, and monitoring and early warning functions into a single processing framework. As described above, the Iridium monitoring and early warning system uses wireless signals within the Iridium communication frequency band as the processing object. After signal acquisition, it directly enters a processing flow tailored to the characteristics of Iridium communication, avoiding the delays and uncertainties caused by multiple signal transfers between different devices or processing nodes in existing technologies.

[0025] In this system, the signal processing subsystem does not perform general spectrum analysis or recording of the acquired wireless signals. Instead, it processes the signals specifically based on the characteristics of the Iridium communication system, providing the structural foundation required for subsequent analysis. Building upon this, the information analysis subsystem further analyzes the valid signal data to generate communication information reflecting the status of Iridium communication activities, providing a unified and directly usable data source for monitoring and analysis. The monitoring and early warning subsystem then performs continuous monitoring and analysis based on this communication information, outputting corresponding monitoring results or early warning information when preset conditions are met.

[0026] Preferably, the signal processing subsystem is configured to perform digital channelization processing on the wireless signal output by the signal acquisition subsystem, wherein the channelization processing includes: performing bandpass filtering on the wireless signal based on a preset frequency division rule to suppress non-target frequency band signals and form an input signal that satisfies the channel division conditions; performing sampling rate transformation processing on the wireless signal after bandpass filtering to match the signal sampling rate with the channel bandwidth and frequency resolution corresponding to the preset frequency division rule; performing frequency domain division on the wireless signal after sampling rate transformation processing to generate signal data corresponding to multiple frequency sub-bands; performing energy calculation or time-frequency feature extraction on the signal data of each frequency sub-band; determining the target sub-band containing Iridium satellite communication signals based on the energy distribution or time-frequency features corresponding to each frequency sub-band, and using the signal data corresponding to the target sub-band as valid signal data.

[0027] Furthermore, after determining the target subband, the signal processing subsystem is further configured to perform burst signal detection processing on the signal within the target subband. The burst signal detection processing includes: performing sliding window analysis on the target subband signal in the time dimension; identifying burst signal segments based on parameters such as signal energy change, frequency shift, or duration within the window; and marking or filtering the identified burst signal segments to form a dataset of valid signal data.

[0028] In this embodiment of the invention, the signal processing subsystem is responsible for performing structured processing on the wireless signals output by the signal acquisition subsystem. Its processing objective is not simply to record or display the broadband spectrum of the wireless signals, but rather to transform the raw wireless signals into effective signal data suitable for subsequent analysis. To this end, the signal processing subsystem first performs digital channelization processing on the wireless signals.

[0029] Specifically, the signal processing subsystem receives broadband wireless signals from the signal acquisition subsystem and divides these signals into frequency domains according to a preset frequency division rule. This frequency division rule can be set based on the operating frequency band distribution, channel bandwidth, and frequency spacing of the Iridium communication system. Through this frequency domain division operation, the wireless signal is decomposed into multiple frequency sub-bands, generating corresponding signal data for each sub-band. This frequency domain division process can be implemented using digital filter banks, Fast Fourier Transform (FFT) combined with window functions, or equivalent digital channelization methods.

[0030] After completing the frequency domain partitioning, the signal processing subsystem performs energy calculations or time-frequency feature extraction on the signal data of each frequency sub-band. Taking energy calculation as an example, for the first... Each frequency sub-band, within the time window The energy value within can be expressed as:

[0031] in, Indicates the first The frequency sub-band at the ... The signal amplitude at each sampling point This represents the number of sampling points within the time window. By calculating the energy value for each frequency sub-band separately, the energy distribution of multiple frequency sub-bands within the same time period can be obtained.

[0032] In another implementation, the signal processing subsystem can also extract time-frequency features from each frequency sub-band, for example, by using short-time Fourier transform or other time-frequency analysis methods to obtain characteristic parameters of frequency variation over time. Based on the aforementioned energy distribution or time-frequency features, the signal processing subsystem compares and analyzes each frequency sub-band to determine the target sub-band containing Iridium communication signals. The signal data corresponding to the frequency sub-band determined as the target sub-band is selected and output as the effective signal data required for subsequent processing.

[0033] In a further implementation, after determining the target subband, the signal processing subsystem continues to perform burst signal detection processing on the signals within the target subband. This burst signal detection processing is mainly used to identify short burst signal segments that occur during Iridium communication. Specifically, the signal processing subsystem performs sliding window analysis on the target subband signal in the time dimension, that is, it sets a length of [missing information] on the time series of the target subband signal. A sliding window, which slides at preset steps.

[0034] For each sliding window, the signal processing subsystem calculates parameters such as the signal energy change, center frequency shift, or signal duration within the window. For example, the signal energy within the window can be expressed as:

[0035] in, This indicates the target subband signal within the current sliding window. Each sampling point. By comparing the energy changes between adjacent windows, or by combining the frequency offset parameter and the duration parameter, the signal processing subsystem determines whether there are burst signal characteristics within the current window.

[0036] When the parameters within a certain time window meet the preset burst signal determination conditions, the signal processing subsystem identifies the corresponding signal segment as a burst signal segment and marks or filters it. After the above burst signal detection and filtering, the signal processing subsystem combines the identified burst signal segment with other valid signal data in the target subband to form a valid signal data set, and outputs this valid signal data set to the information analysis subsystem for subsequent demodulation, analysis, and monitoring analysis.

[0037] In another possible implementation, the signal processing subsystem introduces an adaptive window adjustment mechanism based on subband energy evolution trends during the execution of digital channelization processing and burst signal detection processing. Specifically, when calculating the energy of each frequency subband, the signal processing subsystem not only obtains the energy value within a single time window but also records the energy change sequence within multiple adjacent time windows, and determines the temporal stability of the signal within the current subband based on the energy change sequence. When a frequency subband is detected to exhibit a rapid energy increase or decrease trend within multiple consecutive time windows, the signal processing subsystem automatically shortens the sliding window length used for burst signal detection; when the energy change trend is relatively stable, the sliding window length is extended accordingly.

[0038] By employing the above method, the burst signal detection process adaptively adjusts between temporal resolution and statistical stability, thereby adapting to signal patterns with varying durations and burst characteristics in Iridium communication. Based on the adaptively adjusted sliding window, the signal processing subsystem performs burst signal detection and labeling processing on signals within the target subband, forming an effective signal data set, which is then output to the information parsing subsystem. This implementation introduces time-scale adaptive processing logic without altering the original channelization and burst detection overall process, making the signal processing process more closely aligned with the changing characteristics of Iridium communication signals in real-world scenarios.

[0039] Preferably, the information parsing subsystem is configured to perform demodulation processing on the valid signal data, and on the basis of demodulation processing, perform framing and field parsing on the data according to the Iridium communication protocol structure. The field parsing includes: determining the position of each data field in the time domain or frequency domain according to preset frame structure rules; performing bit-level or symbol-level parsing processing on the corresponding fields; and combining the parsed data fields to generate communication information used to characterize Iridium communication activities.

[0040] Furthermore, the information parsing subsystem is further configured to perform association processing on the communication information parsed in different time periods or different frequency subbands, wherein the association processing includes: matching the communication information based on time features, frequency features or frame structure features in the communication information; merging the communication information corresponding to the matching results into the same communication activity record; and outputting associated communication information used to characterize continuous or related Iridium satellite communication behavior.

[0041] In this embodiment of the invention, the information parsing subsystem is used to further process the valid signal data output by the signal processing subsystem. Its core task is to restore the valid signal data, which already possesses structural characteristics, into communication information that reflects Iridium communication activities. To achieve the above objective, the information parsing subsystem first performs demodulation processing on the valid signal data, and after the demodulation processing is completed, it performs frame segmentation and field parsing on the data according to the structural characteristics of the Iridium communication protocol.

[0042] Specifically, the valid signal data received by the information parsing subsystem is typically a signal segment that has been filtered through channelization and burst detection. This signal segment matches the basic characteristics of the Iridium communication signal in terms of time and frequency. During the demodulation phase, the information parsing subsystem performs corresponding demodulation operations on the valid signal data according to the modulation scheme used in Iridium communication, converting it into a symbol sequence or bit sequence. After demodulation, the information parsing subsystem enters the framing processing phase.

[0043] During frame segmentation, the information parsing subsystem locates and divides the demodulated data according to preset frame structure rules. Frame structure rules may include the method for determining the frame start position, frame length information, and the order of fields within the frame. The information parsing subsystem determines the corresponding position of each data field in the demodulated data by judging its time-domain or frequency-domain position, and then segments the demodulated data into multiple logical fields according to the frame structure rules.

[0044] During the field parsing phase, the information parsing subsystem performs bit-level or symbol-level parsing processing on the corresponding fields according to the definition rules of different fields. For example, for fixed-length fields, the corresponding bit sequence is extracted directly according to the preset length; for variable-length fields, dynamic parsing is performed in conjunction with field identification information or control information. Through the above field parsing processing, the information parsing subsystem can extract multiple field data from the demodulated data, organize the field data according to preset combination rules, and finally generate communication information used to characterize Iridium satellite communication activities.

[0045] In a further embodiment, the information parsing subsystem is also configured to perform correlation processing on the communication information parsed from different time periods or different frequency subbands. This correlation processing is used to address the problem of time-discrepancy and frequency-dispersal in Iridium satellite communication, enabling communication information from different signal segments to form a unified record at the logical level.

[0046] In its implementation, the information parsing subsystem first performs matching analysis on different communication information based on time characteristics, frequency characteristics, or frame structure characteristics. Time characteristics can include the timestamp or frame occurrence time corresponding to the communication information; frequency characteristics can include the frequency sub-band or center frequency where the communication information is located; and frame structure characteristics can include frame number, time slot position, or the arrangement of fields within the frame. The information parsing subsystem compares these characteristics to determine whether different pieces of communication information meet preset association conditions.

[0047] When multiple communication messages meet the correlation criteria, the information parsing subsystem merges them into a single communication activity record and manages the merged results uniformly. After the above correlation processing, the information parsing subsystem outputs correlated communication information characterizing continuous or related Iridium satellite communication behavior and provides this correlated communication information to the monitoring and early warning subsystem for subsequent monitoring analysis and early warning judgment. Through this processing, Iridium satellite communication activities can form continuous and correlated communication records at the parsing level, providing a structured data foundation for the overall system monitoring process.

[0048] Preferably, the monitoring and early warning subsystem is configured to perform statistical analysis on the communication information or the associated communication information, wherein the statistical analysis includes: statistically analyzing the distribution characteristics of the communication information in the time dimension or frequency dimension; generating corresponding communication activity feature parameters based on preset statistical rules; and using the communication activity feature parameters as input data for monitoring and judgment.

[0049] Furthermore, the monitoring and early warning subsystem is further configured to perform rule-based decision-making processing based on the communication activity feature parameters. The rule-based decision-making processing includes: comparing the communication activity feature parameters with preset monitoring rules; generating a corresponding monitoring event record when the comparison result meets preset conditions; and storing or outputting the monitoring event record to form the monitoring result or early warning information.

[0050] In this embodiment of the invention, the monitoring and early warning subsystem is used to further process the communication information or associated communication information output in the information parsing stage. The processing revolves around statistical modeling and rule determination of communication activities. The input data received by this subsystem is a set of communication information that has already been parsed and associated. The data includes at least the communication occurrence time, the corresponding frequency sub-band, and the structural identifier information of the communication activity.

[0051] The monitoring and early warning subsystem first performs statistical analysis on the communication information. This statistical analysis is conducted separately in the time and frequency dimensions. In the time dimension, the subsystem groups and statistically analyzes the communication information according to preset time windows to calculate the frequency of occurrence, duration distribution, or time interval between adjacent communication events per unit time. In the frequency dimension, the subsystem statistically analyzes the distribution of communication information across different frequency subbands to obtain the spectrum occupancy characteristics of communication activities.

[0052] For example, the time density parameter of communication activities within a certain statistical period can be expressed as:

[0053] in, Indicates the statistical period The quantity of internal communication information. Correspondingly, in the frequency dimension, the frequency distribution parameters of communication activities can be obtained by statistically analyzing the proportion of communication information occurring in each frequency sub-band.

[0054] Based on the statistical results of the time and frequency dimensions mentioned above, the monitoring and early warning subsystem generates communication activity characteristic parameters according to preset statistical rules. These statistical rules define the calculation method and output format of the characteristic parameters, such as specifying smoothing of the time density parameter over multiple statistical periods or normalization of the frequency distribution results. Through this process, the original communication information is converted into a set of characteristic parameters describing the state of communication activity, denoted as:

[0055] The generated communication activity characteristic parameters serve as input data for monitoring and judgment, entering the rule determination processing stage. In the rule determination stage, the monitoring and early warning subsystem compares and analyzes the set of characteristic parameters according to pre-configured monitoring rules. Monitoring rules can exist in the form of thresholds, intervals, or combinations of conditions, for example:

[0056] in, , This is the preset monitoring threshold parameter.

[0057] When the characteristic parameters of a communication activity meet the corresponding monitoring rules, the monitoring and early warning subsystem generates a corresponding monitoring event record. The monitoring event record includes at least the trigger time, the associated communication activity identifier, and the characteristic parameter values ​​involved in the judgment, used to describe the current communication activity status. The generated monitoring event record is stored or processed for output according to the system configuration to form corresponding monitoring results or early warning information.

[0058] In another possible implementation, during continuous operation, the system first performs long-term statistical analysis on communication information over a period of time when no monitoring events are triggered, forming a reference statistical interval reflecting the normal communication state. This reference statistical interval is used to describe the range of values ​​for communication activity characteristic parameters under stable conditions.

[0059] In actual processing, the monitoring and early warning subsystem does not directly compare the communication activity characteristic parameters with fixed thresholds. Instead, it compares the characteristic parameters obtained within the current statistical period with the reference statistical interval. When the current characteristic parameter deviates from the central trend or boundary range of the reference statistical interval, the monitoring and early warning subsystem records the corresponding deviation magnitude and duration. To avoid misjudgments caused by instantaneous fluctuations, the system further introduces a continuous deviation judgment rule. Only when the characteristic parameter continuously deviates from the reference statistical interval in multiple adjacent statistical periods does it enter the rule judgment process.

[0060] During the rule determination phase, the monitoring and early warning subsystem generates monitoring event records based on the deviation magnitude and duration parameters, combined with preset deviation combination conditions. For example, a corresponding monitoring event can be generated when both a preset proportion of the deviation magnitude exceeds the width of the reference interval and a preset number of statistical periods are met simultaneously. The generated monitoring event records are stored or output to form monitoring results or early warning information. Through the above implementation method, the monitoring and early warning subsystem, while maintaining the original statistical analysis and rule determination framework, introduces an adaptive reference mechanism based on historical communication activity characteristics. This makes the monitoring and judgment process rely more on the evolutionary characteristics of the communication activity itself, rather than fixed parameter configurations, thereby forming a monitoring and processing path that is more in line with the actual operating state.

[0061] In one specific implementation, such as Figure 2 The Iridium satellite monitoring and early warning system proposed in this invention consists of a high-gain custom horn antenna, a high-performance cavity filter, a high-sensitivity signal monitoring receiver, a digital signal processing module, an Iridium satellite decoding module, a GNSS module, a 4G communication module, and a power supply module. All modules are integrated into the same system device to form an integrated Iridium satellite monitoring and early warning device.

[0062] In this embodiment, a high-gain custom horn antenna is used to receive wireless signals in external space. The horn antenna features strong directionality and high gain, operating in the frequency range of 1600MHz to 1670MHz, with a gain of up to 14dBi. By focusing signal energy in space, it improves the system's sensitivity to Iridium satellite communication signals, thereby enabling the detection of Iridium satellite communication signals over longer distances.

[0063] The wireless signal received by the horn antenna first enters a high-performance cavity filter for filtering. This cavity filter is designed for the Iridium satellite communication operating frequency band, processing signals in the 1600MHz–1670MHz range while suppressing 1710MHz mobile communication signals and image frequency signals, achieving a suppression capability of over 30dB. This filter effectively filters out unwanted frequency band signals such as those from mobile communication, reducing the probability of external interference and ensuring high-sensitivity reception of satellite phone signals unaffected by other communication signals.

[0064] The filtered signal is output to a high-sensitivity signal monitoring receiver. The receiver performs down-conversion processing on the input signal, converting the received radio frequency (RF) signal into an intermediate frequency (IF) signal, and outputs the IF signal to a digital signal processing module. The digital signal processing module receives the IF signal, processes it according to its frequency characteristics, divides the IF signal into different channels, and stores the processed signal in IQ data format.

[0065] The digital signal processing module includes a burst signal monitoring function. The burst signal detection process involves performing energy detection on the input signal to determine the presence of a burst signal. Upon detection, the digital signal processing module further performs modulation parameter measurement and burst type identification. Since the signal format of the Iridium satellite system is known and the burst signal rate is a fixed value, in this embodiment, modulation parameter measurement is primarily used to estimate the center frequency of the burst signal. After burst detection, the digital signal processing module transmits the acquired valid IQ data to the Iridium decoding module, and performs center frequency correction processing again during demodulation.

[0066] The Iridium decoding module performs demodulation and protocol parsing processing on the received IQ data, completing operations such as separation of signals from multiple satellites, channel and time slot correction, fast channel decoding, information classification, network control information extraction and interpretation, and group reporting. This enables real-time identification, separation, and decoding of detected Iridium communication information. The decoded identity information, location information, and related service information such as voice, SMS, and IP are uniformly stored on an SSD hard drive. Later, when playback or statistical analysis is needed, the corresponding data can be directly extracted from the SSD hard drive, and statistical analysis of target activity can be performed based on a database.

[0067] In addition, the system includes a GNSS module and a GPS antenna. The GPS antenna receives GPS signals and transmits them to the GNSS module to obtain the latitude and longitude information of the current system equipment, providing location information support for Iridium satellite communication monitoring results. The system communicates with external networks via a 4G communication module to achieve remote data transmission and management. The power module provides a stable operating power supply for all components of the system; in this embodiment, the power input is DC12V.

[0068] The high-gain custom horn antenna, high-performance cavity filter, and high-sensitivity signal monitoring receiver together constitute the signal acquisition subsystem, used to receive and process wireless signals within the Iridium communication band. The digital signal processing module corresponds to the signal processing subsystem, used for down-conversion channelization of the received signal, burst signal detection, and IQ data generation. The Iridium decoding module corresponds to the information parsing subsystem, used for demodulation, protocol parsing, information classification, and group reporting of valid signal data. The processing logic based on the decoding results, including data storage, statistical analysis, and event log generation, corresponds to the monitoring and early warning subsystem. The SSD hard drive supports the storage and playback of monitoring data, and the 4G communication module enables the external transmission of monitoring results and related data. Furthermore, the GNSS module acquires system location information, and the power supply module provides operating power to each subsystem. These modules, as the basic support units of the system, work collaboratively with each subsystem to jointly realize the Iridium monitoring and early warning function described in this application.

[0069] Figure 3 This is a flowchart of an Iridium satellite monitoring and early warning method provided in one embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an Iridium satellite monitoring and early warning method, the method comprising: Step S10: Acquire the wireless signal within the Iridium satellite communication band.

[0070] Step S20: Perform signal processing on the wireless signal to meet the Iridium communication characteristics, so as to obtain resolvable and effective signal data.

[0071] Step S30: Parse the valid signal data to generate communication information characterizing Iridium satellite communication activities.

[0072] Step S40: Perform monitoring and analysis based on the communication information, and output the corresponding monitoring results or early warning information.

[0073] Preferably, signal processing targeting the Iridium satellite communication characteristics is performed on the wireless signal to obtain resolvable and valid signal data, including: dividing the wireless signal into frequency domains based on a preset frequency division rule to generate signal data corresponding to multiple frequency sub-bands; performing energy calculation or time-frequency feature extraction on the signal data of each frequency sub-band; determining the target sub-band containing the Iridium satellite communication signal based on the energy distribution or time-frequency features corresponding to each frequency sub-band, and using the signal data corresponding to the target sub-band as valid signal data; performing sliding window analysis on the target sub-band signal in the time dimension; identifying burst signal segments based on signal energy changes, frequency offsets, or duration parameters within the window; and marking or filtering the identified burst signal segments to form a dataset consisting of valid signal data.

[0074] The present invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the aforementioned Iridium satellite monitoring and early warning method.

[0075] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0076] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details described above. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe the various possible combinations.

[0077] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the embodiments of the present invention, they should also be regarded as the content disclosed by the embodiments of the present invention.

Claims

1. An Iridium satellite monitoring and early warning system, characterized in that, The system includes: The signal acquisition subsystem is used to acquire wireless signals within the Iridium satellite communication frequency band. A signal processing subsystem, connected to the signal acquisition subsystem, is used to perform processing on the wireless signal in accordance with the Iridium satellite communication characteristics to obtain resolvable and effective signal data; An information parsing subsystem, connected to the signal processing subsystem, is used to parse the effective signal data and generate communication information to characterize Iridium satellite communication activities; The monitoring and early warning subsystem is connected to the information parsing subsystem and is used to perform monitoring and analysis based on the communication information, and output the corresponding monitoring results or early warning information.

2. The Iridium satellite monitoring and early warning system according to claim 1, characterized in that, The signal processing subsystem is configured to perform digital channelization processing on the wireless signal output by the signal acquisition subsystem, wherein the channelization processing includes: Based on a preset frequency division rule, bandpass filtering is performed on the wireless signal to suppress non-target frequency band signals and form an input signal that meets the channel division conditions. The wireless signal after bandpass filtering is subjected to sampling rate conversion processing to match the signal sampling rate with the channel bandwidth and frequency resolution corresponding to the preset frequency division rule. The frequency domain is divided based on the wireless signal after sampling rate transformation, and signal data corresponding to multiple frequency sub-bands are generated. Energy calculation or time-frequency feature extraction is performed on the signal data of each frequency sub-band; Based on the energy distribution or time-frequency characteristics corresponding to each frequency sub-band, the target sub-band containing Iridium satellite communication signals is determined, and the signal data corresponding to the target sub-band is used as valid signal data.

3. The Iridium satellite monitoring and early warning system according to claim 2, characterized in that, After determining the target subband, the signal processing subsystem is further configured to perform burst signal detection processing on the signals within the target subband, wherein the burst signal detection processing includes: Perform a sliding window analysis on the target subband signal in the time dimension; Identify burst signal segments based on parameters such as signal energy changes, frequency shifts, or durations within a window; The identified burst signal segments are marked or filtered to form a dataset of valid signal data.

4. The Iridium satellite monitoring and early warning system according to claim 1, characterized in that, The information parsing subsystem is configured to perform demodulation processing on the valid signal data, and based on the demodulation processing, to perform framing and field parsing of the data according to the Iridium communication protocol structure, wherein the field parsing includes: The position of each data field in the time domain or frequency domain is determined according to the preset frame structure rules; Perform bit-level or symbol-level parsing processing on the corresponding field; The parsed data fields are combined to generate communication information that characterizes Iridium satellite communication activities.

5. The Iridium satellite monitoring and early warning system according to claim 4, characterized in that, The information parsing subsystem is further configured to perform correlation processing on the communication information parsed from different time periods or different frequency subbands, wherein the correlation processing includes: The communication information is matched based on its time characteristics, frequency characteristics, or frame structure characteristics. Merge the communication information corresponding to the matching results into the same communication activity record; Output associated communication information used to characterize continuous or related Iridium satellite communication behavior.

6. The Iridium satellite monitoring and early warning system according to claim 1, characterized in that, The monitoring and early warning subsystem is configured to perform statistical analysis on the communication information or the associated communication information, wherein the statistical analysis includes: Statistical analysis of the distribution characteristics of communication information in the time or frequency dimension; Generate corresponding communication activity feature parameters based on preset statistical rules; The communication activity characteristic parameters are used as input data for monitoring and judgment.

7. The Iridium satellite monitoring and early warning system according to claim 6, characterized in that, The monitoring and early warning subsystem is further configured to perform rule-based decision-making processing based on the communication activity characteristic parameters, wherein the rule-based decision-making processing includes: The communication activity characteristic parameters are compared with preset monitoring rules; When the comparison results meet the preset conditions, a corresponding monitoring event record is generated. The monitoring event records are stored or output to form the monitoring results or early warning information.

8. A method for monitoring and early warning of Iridium satellites, characterized in that, The method is implemented based on the Iridium satellite monitoring and early warning system according to any one of claims 1-7, and the method includes: Acquire wireless signals within the Iridium satellite communication band; Perform signal processing on the wireless signal to meet the Iridium satellite communication characteristics, in order to obtain resolvable and effective signal data; The valid signal data is parsed to generate communication information characterizing Iridium satellite communication activities; Based on the communication information, monitoring and analysis are performed, and corresponding monitoring results or early warning information are output.

9. The Iridium satellite monitoring and early warning method according to claim 8, characterized in that, Perform signal processing on the wireless signal to meet the characteristics of Iridium satellite communication, in order to obtain resolvable and effective signal data, including: The wireless signal is divided into frequency domains based on a preset frequency division rule to generate signal data corresponding to multiple frequency sub-bands. Energy calculation or time-frequency feature extraction is performed on the signal data of each frequency sub-band; Based on the energy distribution or time-frequency characteristics corresponding to each frequency sub-band, the target sub-band containing Iridium satellite communication signals is determined, and the signal data corresponding to the target sub-band is used as valid signal data. Perform a sliding window analysis on the target subband signal in the time dimension; Identify burst signal segments based on parameters such as signal energy changes, frequency shifts, or durations within a window; The identified burst signal segments are marked or filtered to form a dataset of valid signal data.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the Iridium satellite monitoring and early warning method as described in any one of claims 8 and 9.

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