Electronic reconnaissance method and device and computer readable storage medium

Abstract

The embodiment of the invention provides an electronic reconnaissance method and device and a computer readable storage medium, and relates to the technical field of electronic reconnaissance. The electronic reconnaissance method comprises the following steps: performing traversal search on each sub-frequency band of a target frequency band according to a preset residence time length, and intercepting an electromagnetic signal of each sub-frequency band; and performing feature extraction on the electromagnetic signal, matching the extracted features with a preset threat feature database, and calculating a threat score of the electromagnetic signal. According to the threat score of the electromagnetic signal, the residence duration of traversal search of the corresponding sub-frequency band is adjusted; and performing traversal search on each sub-frequency band according to the adjusted residence duration. According to the embodiment of the invention, under the condition that the total scanning duration is not changed, the high-threat electromagnetic signals are collected more fully, and feature analysis is finer, so that the reconnaissance depth and intelligence acquisition quality of the high-threat electromagnetic signals are remarkably improved, and the reconnaissance efficiency and the resource utilization rate are greatly improved.

Description

Technical Field

[0001] This application relates to the technical field of electronic reconnaissance, and in particular to an electronic reconnaissance method, device and computer-readable storage medium. Background Technology

[0002] With the continuous development of radar technology, low-probability of intercept (LPI) designs are widely used in modern radar systems. Traditional electronic reconnaissance equipment suffers from low search efficiency when facing these modern radar systems with low LPI. Summary of the Invention

[0003] This application provides an electronic reconnaissance method, device, and computer-readable storage medium to improve the search efficiency of electronic reconnaissance.

[0004] To achieve the above-mentioned technical effects, this application adopts the following technical solution: Firstly, an electronic reconnaissance method is provided. This method includes: traversing and searching each sub-band of a target frequency band for a preset dwell time to intercept electromagnetic signals in each sub-band; extracting features from the electromagnetic signals; matching the extracted features with a preset threat feature database to calculate a threat score for the electromagnetic signals; adjusting the dwell time for traversing and searching the corresponding sub-bands based on the threat score of the electromagnetic signals; and traversing and searching each sub-band with the adjusted dwell time.

[0005] This application's implementation calculates the threat score of electromagnetic signals and adjusts the dwell time for traversing and searching corresponding sub-frequency bands based on the threat score, thereby transforming reconnaissance from static to dynamic and from blind to targeted. In other words, the electronic reconnaissance method provided by this application no longer treats all sub-frequency bands equally. This allows for more comprehensive collection and more refined feature analysis of high-threat electromagnetic signals while maintaining the same total scanning time, significantly improving the depth of reconnaissance and the quality of intelligence acquisition, and greatly enhancing reconnaissance efficiency and resource utilization.

[0006] In some possible implementations, the search is performed on each sub-band with an adjusted dwell time, followed by: extracting features from the electromagnetic signal, matching the extracted features with a preset threat feature database, and updating the threat score of the electromagnetic signal.

[0007] This application's implementation updates threat scores; for example, if a high-threat electromagnetic signal disappears, its score decreases, thereby reallocating resources to other high-threat electromagnetic signals. This avoids resources being occupied for a long time by "historical threats" that have disappeared, ensuring the dynamic optimality of the strategy and thus ensuring the timeliness of electronic reconnaissance.

[0008] In some possible implementations, the higher the threat score of the electromagnetic signal, the longer the dwell time after sub-band adjustment. A higher threat score means a higher target priority, thus automatically allocating a longer dwell time, ensuring that reconnaissance operations always stay closely aligned with tactical objectives and maximizing the tactical value of limited hardware resources.

[0009] In some possible implementations, the method further includes: calculating the interception period and interception probability of the electromagnetic signal according to a signal interception probability model. Adjusting the dwell time for traversing the corresponding sub-frequency band specifically includes: adjusting the dwell time for traversing the corresponding sub-frequency band based on the interception period, interception probability, and threat score of the electromagnetic signal. By introducing interception probability and interception period, the decision-making dimensions of the implementation methods of this application are enriched. For example, for a high-threat electromagnetic signal with a low probability of occurrence and short duration, a longer dwell time can be allocated through comprehensive judgment to increase the capture window, thereby successfully intercepting and parsing the signal. This achieves a key shift from "prioritizing high threats" to "reliably detecting high threats," improving the detection capability for low probability of interception (i.e., LPI) signals.

[0010] In some possible implementations, the interception probability model includes a spatial window function, a frequency window function, and a time window function.

[0011] Secondly, an electronic reconnaissance device is provided. This device includes a front-end perception module, a threat assessment module, and an adaptive adjustment module. The front-end perception module is used to traverse and search each sub-band of the target frequency band for a preset dwell time, intercepting electromagnetic signals in each sub-band. The threat assessment module is used to extract features from the electromagnetic signals, match the extracted features with a preset threat feature database, and calculate a threat score for the electromagnetic signals. The adaptive adjustment module is used to adjust the dwell time for traversing and searching the corresponding sub-bands based on the threat score of the electromagnetic signals, so that the front-end perception module performs traversal and searching of each sub-band with the adjusted dwell time.

[0012] In some possible implementations, the threat assessment module is also used to extract features from the electromagnetic signals intercepted by the front-end perception module after the front-end perception module has traversed and searched each sub-band with an adjusted dwell time, match the extracted features with a preset threat feature database, and update the threat score of the electromagnetic signals.

[0013] In some possible implementations, the higher the threat score of the electromagnetic signal, the longer the dwell time after the corresponding sub-band adjustment.

[0014] In some possible implementations, the adaptive adjustment module is also used to calculate the interception period and interception probability of the electromagnetic signal based on a signal interception probability model. Based on the electromagnetic signal's interception period, interception probability, and threat score, the module adjusts the dwell time for traversing and searching the corresponding sub-frequency band.

[0015] Thirdly, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the method described in the first aspect above. It should be understood that the technical effects of the second to third and fourth aspects can be referred to the technical effects of the first aspect and any of its embodiments, and will not be repeated here. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this application, the accompanying drawings used in some embodiments of this application will be briefly described below. Obviously, the drawings described below are only drawings of some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings. In addition, the drawings described below can be regarded as schematic diagrams and are not intended to limit the actual size of the product, the actual flow of the method, the actual timing of the signals, etc. involved in the embodiments of this application.

[0017] Figure 1 A flowchart illustrating an electronic reconnaissance method provided for an embodiment of this application; Figure 2 The interception probability model provided for the embodiments of this application includes a window diagram of three window functions; Figure 3 A schematic diagram of the structure of the electronic reconnaissance equipment provided in the embodiments of this application; Figure 4 This is a schematic flowchart illustrating the reconnaissance method performed by the electronic reconnaissance equipment provided in the embodiments of this application.

[0018] Reference numerals: 100, Electronic reconnaissance equipment; 110, Front-end perception module; 120, Threat assessment module; 130, Adaptive adjustment module. Detailed Implementation

[0019] The technical solutions in some embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application are within the scope of protection of this application.

[0020] Unless the context otherwise requires, throughout the specification and claims, the term "comprise" and its other forms, such as the third-person singular "comprises" and the present participle "comprising," are interpreted as open-ended and encompassing, meaning "including, but not limited to." In the description of the specification, terms such as "one embodiment," "some embodiments," "exemplary embodiments," "example," "specific example," or "some examples," etc., are intended to indicate that a particular feature, structure, material, or characteristic associated with that embodiment or example is included in at least one embodiment or example of this application. The illustrative representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics mentioned may be included in any suitable manner in any one or more embodiments or examples.

[0021] The use of “applies to” or “configured to” in this document implies open and inclusive language, which does not exclude the applicability to or configuration of devices to perform additional tasks or steps. Additionally, the use of “according to” implies openness and inclusiveness, because processes, steps, calculations, or other actions “according to” one or more of the stated conditions or values ​​may in practice be based on additional conditions or values ​​beyond those stated.

[0022] Traditional electronic reconnaissance equipment generally adopts a working mode based on a superheterodyne receiver architecture. The antenna receives the electromagnetic signal (radio frequency) emitted by the radar. After preliminary amplification and selection by the amplifier, it is mixed with the intrinsic signal generated by the local oscillator in the mixer (also known as downconversion). The electromagnetic signal is converted from radio frequency to fixed intermediate frequency. After intermediate frequency amplification, filtering and demodulation, it is processed and identified. Its core reconnaissance strategy is to traverse the entire frequency band with a fixed step frequency.

[0023] However, with the continuous development of radar technology, low probability of intercept (LPI) design has been widely used in modern radar systems. LPI design effectively reduces the detectability of electromagnetic signals, thereby significantly reducing the probability of these signals being intercepted by electronic reconnaissance equipment. Traditional electronic reconnaissance equipment suffers from low search efficiency when facing LPI electromagnetic signals with low repetition frequency and narrow beam pointing.

[0024] To address this, this application provides an electronic reconnaissance method that calculates a threat score for electromagnetic signals and adjusts the dwell time for traversing corresponding sub-frequency bands based on the threat score, thereby transforming the reconnaissance behavior from static to dynamic. This effectively improves or even solves the problem of low search efficiency and significantly enhances the real-time interception and identification capability of threatening electromagnetic signals.

[0025] Figure 1 A flowchart illustrating an electronic reconnaissance method provided in an embodiment of this application is shown. Figure 1 As shown, the method includes S110-S130, as follows: S110. Perform a traversal search on each sub-band of the target frequency band with a preset dwell time to intercept the electromagnetic signals of each sub-band.

[0026] In some implementations, the electronic reconnaissance equipment can rapidly scan the target frequency band (e.g., 2-18 GHz) according to a pre-defined search frequency band, with a fixed dwell time for each sub-band of the target frequency band. The bandwidth of each sub-band can be determined based on the wide instantaneous bandwidth of the receiver in the electronic reconnaissance equipment to quickly cover the entire frequency band.

[0027] S120. Extract features from the electromagnetic signal, match the extracted features with a preset threat feature database, and calculate the threat score of the electromagnetic signal.

[0028] In some implementations, electronic reconnaissance equipment can extract features (e.g., frequency, pulse repetition period, and pulse width) from intercepted electromagnetic signals and perform similarity matching between the extracted features and a pre-built threat feature database to calculate a threat score. The threat feature database is pre-loaded with prior information such as the frequency range, pulse width, and pulse repetition period of the threat electromagnetic signals.

[0029] For example, the expression for calculating the threat score W can be as follows: in, The weights of each feature, For feature similarity function, These are the corresponding feature values ​​stored in the threat signature database; The value of feature m is extracted to intercept electromagnetic signals.

[0030] S130. Based on the threat score of the electromagnetic signal, adjust the dwell time for traversing and searching the corresponding sub-frequency band.

[0031] In some implementations, a higher threat score for the electromagnetic signal corresponds to a longer dwell time after sub-band adjustment. A higher threat score means a higher target priority, resulting in an automatically allocated longer dwell time. This ensures that reconnaissance operations remain closely aligned with tactical objectives (prioritizing monitoring of the most lethal threats) and maximizing the tactical value of limited hardware resources.

[0032] This application's implementation calculates the threat score of electromagnetic signals and adjusts the dwell time for traversing and searching corresponding sub-frequency bands based on the threat score, thereby transforming reconnaissance from static to dynamic and from blind to targeted. In other words, the electronic reconnaissance method provided by this application no longer treats all sub-frequency bands equally. This allows for more comprehensive collection and more refined feature analysis of high-threat electromagnetic signals while maintaining the same total scanning time, significantly improving the depth of reconnaissance and the quality of intelligence acquisition, and greatly enhancing reconnaissance efficiency and resource utilization.

[0033] In some implementations, after S130, the electronic reconnaissance equipment can further traverse and search each sub-band with an adjusted dwell time. By extending the dwell time to collect continuous pulse sequences, the number of collected pulses is ensured to meet the minimum threshold for sorting and identification, thereby achieving in-depth analysis and identification of threatening electromagnetic signals.

[0034] After traversing and searching each sub-band with the adjusted dwell time, the electronic reconnaissance equipment extracts features from the electromagnetic signals, matches the extracted features with a preset threat feature database, and updates the threat score of the electromagnetic signals. This embodiment updates the threat score; for example, if a high-threat electromagnetic signal disappears, its score decreases, thereby reallocating resources to other high-threat electromagnetic signals. This avoids resources being occupied for a long time by "historical threats" that have disappeared, ensuring the dynamic optimization of the strategy and thus ensuring the timeliness of electronic reconnaissance.

[0035] In other words, S110-S130 can be executed cyclically, and the dwell time of each sub-band is dynamically adjusted during the cyclic process, thereby realizing an adaptive closed-loop working mode of search acquisition-identification and analysis-scoring optimization.

[0036] Signal interception probability is a key indicator for evaluating the effectiveness of electronic reconnaissance search methods. Interception probability and interception time constitute a geometric probability problem in a multidimensional space. In some implementations, electronic reconnaissance equipment also calculates the interception period and interception probability of electromagnetic signals based on a signal interception probability model.

[0037] In some implementations, the interception probability model includes spatial domain window functions, frequency domain window functions, and time domain window functions. For example... Figure 2This means that a valid interception is achieved only when the windows of the three window functions overlap simultaneously at a certain moment.

[0038] In some examples, the frequency domain window function is ,in This indicates the time required for an electronic reconnaissance device to complete one full-band scan. This indicates the time that an electronic reconnaissance device stays within a certain instantaneous bandwidth b (equal to the proportion of the instantaneous bandwidth to the total frequency band multiplied by the frequency sweep period). Indicates the frequency range (full bandwidth) covered by the target electromagnetic signal; This indicates the range of frequencies (sub-bandwidth) that the receiver can simultaneously receive during a single dwell time.

[0039] In some examples, the spatial window function is ,in This indicates the time required for the radar antenna to complete one full airspace scan. This indicates the dwell time of the radar antenna beam in a certain direction; The target radar antenna beamwidth; The target radar airspace scanning range.

[0040] In some examples, the time-domain window function is , This indicates the time interval between two consecutive pulses emitted by the radar. This indicates the pulse width, which is the duration of a single radar pulse.

[0041] If the three window functions are run independently, then: Average overlap width Where n=3 represents the probability that the three windows overlap at a certain moment; that is, the probability that the electromagnetic signal emitted by the radar is successfully "hit" by electronic reconnaissance equipment. The probability of coincidence at any time ; And the average period between each overlap (i.e., the interception). .

[0042] In some implementations, the electronic reconnaissance equipment also adjusts the dwell time for traversing and searching the corresponding sub-frequency band based on the interception period, interception probability, and threat score of the electromagnetic signal.

[0043] For example, for low-repetition-rate electromagnetic signals with sparse pulses, electronic reconnaissance equipment may only receive one or two pulses in a very short time, making interception difficult. Therefore, the dwell time can be appropriately extended to intercept more pulses. More pulse samples allow electronic reconnaissance equipment to perform more accurate frequency analysis, parameter estimation, and signal sorting, which helps improve measurement accuracy.

[0044] For example, for high-repetition-rate electromagnetic signals with very dense signal pulses, electronic reconnaissance equipment can receive a large number of pulses in a very short time, which is sufficient to complete detection and basic parameter measurement. Therefore, the dwell time can be shortened to increase the scanning rate.

[0045] By introducing interception probability and interception period, the decision-making dimensions of the implementation method of this application are enriched. For example, for an electromagnetic signal that is high-threat but has a low probability of occurrence and a short duration, a longer dwell time is allocated to increase the capture window through comprehensive judgment, thereby successfully intercepting and parsing the signal. This achieves a key shift from "prioritizing the detection of high threats" to "reliably detecting high threats," improving the detection capability of LPI signals.

[0046] Furthermore, electronic reconnaissance equipment can dynamically adjust the instantaneous bandwidth of the receiver based on the bandwidth of the intercepted electromagnetic signal. For example, for narrow-band high-threat electromagnetic signals, electronic reconnaissance equipment can use narrowband focusing to improve resolution; that is, the instantaneous bandwidth of the receiver is narrowed to just accommodate the narrow-band high-threat electromagnetic signal, which can significantly filter out out-of-band noise, thus making the narrow-band high-threat electromagnetic signal stand out from the noise, greatly improving detection capability and detection range. For example, for complex or wide-band electromagnetic signals, electronic reconnaissance equipment can expand the bandwidth to improve the coverage of a single scan.

[0047] This application also provides an electronic reconnaissance device. For example... Figure 3 As shown, the electronic reconnaissance device 100 includes a front-end perception module 110, a threat assessment module 120, and an adaptive adjustment module 130.

[0048] In some implementations, the front-end sensing module 110 is mainly implemented by the antenna, radio frequency front-end, and digital receiver in the electronic reconnaissance equipment 100. The front-end sensing module 110 is configured to scan a preset target frequency band (e.g., f ~ f + ΔF), which is pre-divided into N consecutive sub-bands. In some examples, the front-end sensing module 110 can be tuned sequentially to the center frequency of each sub-band in a certain order (e.g., sequential or frequency hopping order), and stay at that frequency point for a preset initial dwell time (e.g., 5ms) to collect data, completing a traversal search of the entire target frequency band, thereby intercepting electromagnetic signals in each sub-band.

[0049] In some implementations, the threat assessment module 120 can be implemented by an algorithm program running on the processor of the electronic reconnaissance device 100. The threat assessment module 120 is configured to process electromagnetic signal data sent from the front-end sensing module 110 in real time. For example, the threat assessment module 120 can extract key feature parameters from the electromagnetic signals, including but not limited to: carrier frequency (CF), pulse repetition interval (PRI), pulse width (PW), intra-pulse modulation type (such as linear frequency modulation, phase coding), signal amplitude, and direction of arrival (DOA). It can also match and compare the extracted features with a preset threat feature database to calculate the threat score of the electromagnetic signal. This threat feature database stores the feature parameters of known electromagnetic signals and their corresponding basic threat weights; for example, fire control radar has a high weight, while communication signals have a low weight.

[0050] In some implementations, the adaptive adjustment module 130 primarily includes a processor within the electronic reconnaissance device 100. The adaptive adjustment module 130 is configured to dynamically adjust the scanning strategy based on the output of the threat assessment module 120. For example, the adaptive adjustment module 130 can dynamically calculate and allocate a new dwell time to each sub-band based on the threat score of the signal within that sub-band. It then controls the front-end sensing module 110 to re-examine each sub-band using the adjusted dwell time in the next round or the current scanning cycle. The higher the threat score of the electromagnetic signal, the longer the adjusted dwell time for the corresponding sub-band.

[0051] like Figure 4 As shown, in some embodiments, the electronic reconnaissance device 100 can start a new scanning cycle after power-on initialization or completion of the previous scanning cycle. In the new scanning cycle, the front-end sensing module 110 can select the next sub-frequency band to be scanned as the current operation target according to a preset scanning sequence.

[0052] The adaptive adjustment module 130 can call the threat score of the sub-frequency band stored in the threat assessment module 120 to adjust the scanning dwell time of the sub-frequency band to be scanned. For example, if the threat score of the sub-frequency band is high, it is determined to be a threat band, and the front-end perception module 110 uses an adjusted, longer dwell time to search for and intercept signals in the sub-frequency band. If the threat score of the sub-frequency band is low, it is determined to be a non-threat band, and the front-end perception module 110 uses a preset, basic dwell time to search for and intercept signals in the sub-frequency band.

[0053] During the scan, the system continuously determines whether the current scan of the sub-band has been completed. If not, the current search command continues to ensure a complete scan of the sub-band; if completed, the threat assessment module 120 extracts and analyzes the features of new signal data intercepted during the scan, and recalculates and updates the threat score for the sub-band accordingly. This updated score is stored to guide threat assessment in the next scan cycle.

[0054] In some implementations, after the front-end perception module 110 completes a new round of scanning and data interception, the threat assessment module 120 performs feature extraction and matching again, and updates the threat score of each signal. For example, a high-threat signal with an extended dwell time may have more pulses collected, resulting in the extraction of more precise features. These precise features have a higher similarity to threat features in the threat feature database, leading to an updated threat score. This updated threat score is then sent to the adaptive adjustment module 130 for adjusting the dwell time of the corresponding sub-band traversal search in the next round, thus forming a closed-loop feedback system that continuously optimizes the scanning strategy, approaching the optimal state.

[0055] This application also provides a computer-readable storage medium (e.g., a non-transitory computer-readable storage medium) storing a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0056] For example, the aforementioned computer-readable storage media may include, but are not limited to: magnetic storage devices (e.g., hard disks, floppy disks, or magnetic tapes), optical discs (e.g., CDs (Compact Disks), DVDs (Digital Versatile Disks), etc.), smart cards, and flash memory devices (e.g., EPROMs (Erasable Programmable Read-Only Memory), cards, sticks, or key drives, etc.). The various computer-readable storage media described in this application may represent one or more devices and / or other machine-readable storage media for storing information. The term "machine-readable storage medium" may include, but is not limited to, wireless channels and various other media capable of storing, containing, and / or carrying instructions and / or data.

[0057] It should be understood that the descriptions of the various embodiments described above in this application each have their own emphasis. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0058] This application provides an electronic reconnaissance method, electronic reconnaissance equipment, and computer-readable storage medium. By calculating the threat score of electromagnetic signals and adjusting the dwell time for traversing and searching corresponding sub-frequency bands based on the threat score, the reconnaissance behavior changes from static to dynamic, and from blind to targeted. In other words, the electronic reconnaissance method provided by this application no longer treats all sub-frequency bands equally. This allows for more comprehensive collection and more refined feature analysis of high-threat electromagnetic signals while maintaining the same total scanning time, thereby significantly improving the depth of reconnaissance and the quality of intelligence acquisition for high-threat electromagnetic signals, and greatly enhancing reconnaissance efficiency and resource utilization.

[0059] It should be understood that the electronic reconnaissance methods and devices disclosed in the several embodiments provided in this application can also be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or modules may be electrical, mechanical, or other forms.

[0060] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located on one device or distributed across multiple devices. Some or all of the modules can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0061] In addition, the functional modules in the various embodiments of this application can be integrated into one device, or each module can exist physically separately, or two or more modules can be integrated into one device.

[0062] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product.

[0063] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An electronic reconnaissance method, characterized in that, The method comprises: performing traversal search on each sub-band of a target frequency band with a preset residence time length, intercepting electromagnetic signals of each of the sub-bands; extracting features of the electromagnetic signals, matching the extracted features with a preset threat feature database, and calculating a threat score of the electromagnetic signals; adjusting the residence time length for performing traversal search on the sub-band according to the threat score of the electromagnetic signals; and performing traversal search on the sub-bands with the adjusted residence time length.

2. The method of claim 1, wherein, The method further comprises: extracting features of the electromagnetic signals, matching the extracted features with a preset threat feature database, and updating the threat score of the electromagnetic signals.

3. The method according to claim 1 or 2, characterized in that, The higher the threat score of the electromagnetic signals, the longer the adjusted residence time length for the sub-band.

4. The method according to claim 1 or 2, characterized in that, The method further comprises: calculating an interception period and an interception probability of the electromagnetic signals according to a signal interception probability model; 5. The method of claim 4, wherein, adjusting the residence time length for performing traversal search on the sub-band according to the interception period, the interception probability and the threat score of the electromagnetic signals.

6. An electronic reconnaissance device, characterized by The method further comprises: dynamically adjusting an instantaneous bandwidth for performing traversal search on each sub-band according to a bandwidth of the intercepted electromagnetic signals. The method comprises: a front-end perception module configured to perform traversal search on each sub-band of a target frequency band with a preset residence time length, intercepting electromagnetic signals of each of the sub-bands; 7. The apparatus of claim 6, wherein, a threat assessment module configured to extract features of the electromagnetic signals, match the extracted features with a preset threat feature database, and calculate a threat score of the electromagnetic signals; 8. The apparatus of claim 6 or 7, wherein, an adaptive adjustment module configured to adjust the residence time length for performing traversal search on the sub-band according to the threat score of the electromagnetic signals, so that the front-end perception module performs traversal search on the sub-bands with the adjusted residence time length.

9. The apparatus of claim 8, wherein, The threat assessment module is further configured to, after the front-end perception module performs traversal search on the sub-bands with the adjusted residence time length, extract features of the electromagnetic signals intercepted by the front-end perception module, match the extracted features with a preset threat feature database, and update the threat score of the electromagnetic signals. The higher the threat score of the electromagnetic signals, the longer the adjusted residence time length for the sub-band.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The adaptive adjustment module is further configured to calculate an interception period and an interception probability of the electromagnetic signals according to a signal interception probability model. The adaptive adjustment module is further configured to adjust the residence time length for performing traversal search on the sub-band according to the interception period, the interception probability and the threat score of the electromagnetic signals. The program is executed by a processor to implement the method of any one of claims 1-5.

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