Coherent accumulation method and device for radar waveform and electronic equipment
By designing equivalent coherent waveforms based on frequency repetition rate and using coherent accumulation methods, the problems of velocity ambiguity and range migration caused by random phase fluctuations in radar systems were solved, achieving efficient target detection and identification under active deception jamming environments.
Patent Information
- Application Number
- CN202511451048.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-11
- Publication Date
- 2026-02-24
AI Technical Summary
Modern radar systems struggle to effectively detect moving targets in environments with active deception and jamming. Random phase fluctuations caused by frequency and pulse repetition frequency agility lead to range-azimuth coupling, and traditional methods cannot effectively solve the problems of velocity ambiguity and range migration.
By employing frequency repetition equivalent coherent waveform design and coherent accumulation method, distance migration and frequency Doppler compensation are performed by acquiring the echo signal of the joint frequency repetition agile waveform. Coherent accumulation is achieved using non-uniform Fourier transform, and a jitter frequency Doppler compensation function is constructed for phase linearization.
It improves the radar's low-interception and anti-identification capabilities, significantly enhances the detection sensitivity and speed estimation accuracy of high-speed and highly maneuverable targets, and strengthens anti-jamming and identification capabilities.
Smart Images
Figure CN121559463A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of radar signal-level anti-interference technology, such as a coherent accumulation method and apparatus for radar waveforms, and electronic equipment. Background Technology
[0002] In modern radar systems, moving target detection becomes extremely difficult under active deception jamming conditions. Therefore, frequency and pulse repetition frequency agility waveforms are widely used in radar systems to improve their anti-jamming capabilities. However, the random phase fluctuations caused by frequency and frequency domain agility, leading to range-azimuth coupling, also make coherent accumulation of moving targets difficult. Furthermore, with the development of digital radio frequency memory technology, active deception jamming has become more diverse, and its jamming effect has significantly increased. Among them, cross-pulse repeater deception jamming is a typical active deception jamming method. It has a high similarity to the transmitted signal, creating high-gain false targets to confuse the radar, making it difficult for the radar to identify and detect the real target.
[0003] To address the velocity ambiguity problem caused by random phase fluctuations, related technologies disclose a quasi-Newton algorithm based on minimum image entropy to estimate the coarse motion parameters of non-cooperative targets in inverse synthetic aperture radar.
[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art: In related technologies, the flexibility of frequency and pulse repetition frequency makes the echo signals incoherent, leading to the problem of being unable to estimate motion compensation parameters.
[0005] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention
[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.
[0007] This disclosure provides a coherent accumulation method, apparatus, and electronic device for radar waveforms, which realizes coherent accumulation of echo signals under the condition of random phase fluctuations caused by frequency and frequency domain agility, and can effectively improve the low intercept and anti-identification capabilities of modern radar.
[0008] In some embodiments, the coherent accumulation method for radar waveforms includes: acquiring the joint frequency repetition rate agile waveform (JFPAW) echo signal in the range-frequency domain and azimuth-time domain; performing range migration compensation on the JFPAW echo signal based on the calculated optimal coarse velocity; performing frequency Doppler compensation on the JFPAW echo signal based on the range obtained after range migration compensation; and calculating the coherent accumulation result of the JFPAW echo signal based on the non-uniform Fourier transform.
[0009] Optionally, range migration compensation is performed on the JFPAW echo signal based on the calculated optimal coarse velocity, including: obtaining the equivalent coherent waveform echo signal in the range-frequency domain and azimuth-time domain; calculating the optimal coarse velocity based on the equivalent coherent waveform echo signal; and constructing a range migration compensation function based on the optimal coarse velocity to perform range migration compensation on the JFPAW echo signal.
[0010] Optionally, the optimal coarse velocity is calculated based on the equivalent coherent waveform echo signal, including: obtaining the coherent accumulation result of the equivalent coherent waveform echo signal through azimuth transformation; constructing an optimization objective function using the discrete form of the coherent accumulation result of the equivalent coherent waveform echo signal; and calculating the optimal coarse velocity using a quasi-Newton algorithm based on the optimization objective function.
[0011] Optionally, obtaining the coherent accumulation result of the equivalent coherent waveform echo signal through azimuth transformation includes: constructing a range migration compensation function for the equivalent coherent waveform echo based on a preset estimated target coarse velocity; obtaining the time-domain signal of the equivalent coherent waveform after range migration correction based on the range migration compensation function of the equivalent coherent waveform echo; and performing an azimuth transformation on the time-domain signal of the equivalent coherent waveform to obtain the coherent accumulation result of the equivalent coherent waveform echo signal.
[0012] Optionally, frequency Doppler compensation is performed on the JFPAW echo signal based on the distance obtained after distance migration compensation, including: constructing a jitter frequency Doppler compensation function based on the distance obtained after distance migration compensation; and compensating for the frequency-agile Doppler terms through the jitter frequency Doppler compensation function to perform frequency Doppler compensation on the JFPAW echo signal.
[0013] Optionally, the coherent accumulation result of the JFPAW echo signal is calculated based on the non-uniform Fourier transform, including: normalizing the maximum ambiguity velocity to obtain the maximum unambiguous velocity and the target velocity; uniformly dividing the Doppler channel into m channels, and calculating the velocity of the m-th Doppler channel based on the maximum unambiguous velocity and the target velocity; calculating the n-th pulse of the transform factor of the m-th Doppler channel to obtain the coherent accumulation result of the m-th Doppler channel and using it as the coherent accumulation result of the JFPAW echo signal.
[0014] Alternatively, the JFPAW echo signal can be represented by the following formula:
[0015] in, γ is the frequency modulation slope of the linear frequency modulated signal. Let n be the carrier frequency of the nth pulse. The pulse duration, For the frequency in the frequency domain, This is the distance obtained after distance migration compensation. The target speed.
[0016] In some embodiments, the coherent accumulation device for radar waveforms includes: a signal acquisition module configured to acquire a joint frequency repetition rate agile waveform (JFPAW) echo signal in the range-frequency domain and azimuth-time domain; a range migration compensation module configured to perform range migration compensation on the JFPAW echo signal based on a calculated optimal coarse velocity; a frequency Doppler compensation module configured to perform frequency Doppler compensation on the JFPAW echo signal based on the range obtained after range migration compensation; and a coherent accumulation module configured to calculate the coherent accumulation result of the JFPAW echo signal based on a non-uniform Fourier transform.
[0017] In some embodiments, the coherent accumulation apparatus for radar waveforms includes a processor and a memory storing program instructions, the processor being configured to execute the coherent accumulation method for radar waveforms as described above when the program instructions are executed.
[0018] In some embodiments, the electronic device includes: an electronic device body; and a coherent accumulation device for radar waveforms as described above, mounted on the electronic device body.
[0019] The coherent accumulation method, apparatus, and electronic device for radar waveforms provided in this disclosure can achieve the following technical effects: In this embodiment, the JFPAW echo signal after pulse compression is first acquired. The optimal coarse velocity is obtained using the image minimum entropy criterion to construct a range migration compensation function, precisely correcting the range and realigning the energy of the same target in the range dimension. Subsequently, based on the compensated range, a jitter frequency Doppler compensation function matching the transmitted carrier frequency sequence is established to address the random Doppler phase jumps caused by frequency agility, achieving phase linearization. Finally, the double-compensated signal is mapped to a non-uniform Doppler grid, and coherent accumulation is completed through an improved non-uniform Fourier transform. Thus, this embodiment, while maintaining the advantages of low interception and anti-deception interference brought by the fully random agility of the JFPAW echo signal, significantly improves the radar's detection sensitivity, velocity estimation accuracy, and anti-jamming identification capability for high-speed, highly maneuverable targets by utilizing a small amount of compensation computation.
[0020] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description
[0021] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein: Figure 1 This is a schematic diagram of a coherent accumulation method for radar waveforms provided in an embodiment of this disclosure; Figure 2 This is a schematic diagram of another coherent accumulation method for radar waveforms provided in an embodiment of this disclosure; Figure 3 This is a schematic diagram of another coherent accumulation method for radar waveforms provided in an embodiment of this disclosure; Figure 4 This is a schematic diagram of another coherent accumulation method for radar waveforms provided in an embodiment of this disclosure; Figure 5 This is a schematic diagram of a coherent accumulation device for radar waveforms provided in an embodiment of this disclosure; Figure 6 This is a schematic diagram of another coherent accumulation device for radar waveforms provided in an embodiment of this disclosure. Detailed Implementation
[0022] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.
[0023] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.
[0024] Unless otherwise stated, the term "multiple" means two or more.
[0025] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.
[0026] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.
[0027] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.
[0028] Currently, to improve the anti-jamming capability of radar systems, waveform diversity methods have been proposed and applied to modern radar systems, such as frequency-agile waveforms, phase-coded waveforms, pulse repetition frequency-agile waveforms, and multi-dimensional parameter joint agile waveforms. However, the methods used in traditional schemes cannot effectively solve the velocity ambiguity problem caused by random phase fluctuations, and random phase fluctuations can compromise the coherence of the echo signal.
[0029] Complex parameter agile waveforms can cause random phase fluctuations in the echo signal, compromising its coherence. Furthermore, velocity ambiguity and distance migration remain significant issues for moving target detection. Traditional methods cannot address the velocity ambiguity problem caused by random phase fluctuations.
[0030] Therefore, traditional methods employ Radon transform to estimate coarse velocity by detecting straight-line angles in order to address velocity ambiguity and achieve range migration correction. However, this method is highly sensitive to noise. Subsequently, a quasi-Newton algorithm based on minimum image entropy was proposed to estimate coarse motion parameters of non-cooperative targets in inverse synthetic aperture radar. However, due to the flexibility of frequency and pulse repetition frequency, the echo signals are incoherent, making it impossible to estimate motion compensation parameters.
[0031] Therefore, the embodiments of this disclosure employ a frequency repetition equivalent coherent waveform design and a corresponding coherent accumulation method, which can effectively improve the low interception and anti-identification capabilities of modern radars and realize coherent accumulation of echo signals under the condition of random phase fluctuations caused by frequency and frequency domain agility.
[0032] Combination Figure 1 As shown, this disclosure provides a coherent accumulation method for radar waveforms, including: S101, acquire the joint frequency repetition rate agile waveform JFPAW echo signal in the distance-frequency domain and azimuth-time domain.
[0033] S102, based on the calculated optimal coarse velocity, performs distance migration compensation on the JFPAW echo signal.
[0034] S103 performs frequency Doppler compensation on the JFPAW echo signal based on the distance obtained after distance migration compensation.
[0035] S104. Based on the non-uniform Fourier transform, the coherent accumulation result of the JFPAW echo signal is calculated.
[0036] The coherent accumulation method for radar waveforms provided in this disclosure first acquires the pulse-compressed JFPAW echo signal. The optimal coarse velocity is obtained using the image minimum entropy criterion to construct a range migration compensation function, precisely correcting the range and realigning the energy of the same target in the range dimension. Then, based on the compensated range, a jitter frequency Doppler compensation function matching the transmitted carrier frequency sequence is established to address the random Doppler phase jumps caused by frequency agility, achieving phase linearization. Finally, the double-compensated signal is mapped to a non-uniform Doppler grid, and coherent accumulation is completed through an improved non-uniform Fourier transform. Thus, this disclosure, while maintaining the advantages of low interception and anti-deception interference brought by the fully random agility of the JFPAW echo signal, significantly improves the radar's detection sensitivity, velocity estimation accuracy, and anti-jamming identification capability for high-speed, highly maneuverable targets by utilizing a small amount of compensation computation.
[0037] Optionally, range migration compensation is performed on the JFPAW echo signal based on the calculated optimal coarse velocity, including: obtaining the equivalent coherent waveform echo signal in the range-frequency domain and azimuth-time domain; calculating the optimal coarse velocity based on the equivalent coherent waveform echo signal; and constructing a range migration compensation function based on the optimal coarse velocity to perform range migration compensation on the JFPAW echo signal.
[0038] Combination Figure 2 As shown, this disclosure provides another method for coherent accumulation of radar waveforms, including: S201, acquire the joint frequency repetition rate agile waveform JFPAW echo signal in the distance-frequency domain and azimuth-time domain.
[0039] S202, acquire the equivalent coherent waveform echo signal in the range, frequency domain, and azimuth, time domain.
[0040] S203, the optimal coarse velocity is calculated based on the equivalent coherent waveform echo signal.
[0041] S204. Based on the optimal coarse velocity, a distance migration compensation function is constructed to compensate for the distance migration of the JFPAW echo signal.
[0042] S205 performs frequency Doppler compensation on the JFPAW echo signal based on the distance obtained after distance migration compensation.
[0043] S206. Based on the non-uniform Fourier transform, the coherent accumulation result of the JFPAW echo signal is calculated.
[0044] In this embodiment, an equivalent coherent waveform satisfying the phase continuity condition is first extracted from the complete JFPAW echo. The candidate velocities are then iterated using the minimum entropy criterion, and the velocity corresponding to the minimum entropy value is taken as the optimal coarse velocity. Subsequently, a distance migration compensation function is constructed using this velocity. This process uses only a small number of coherent pulses to complete velocity estimation, avoiding a complex two-dimensional search of the entire agile sequence while maintaining the advantage of low intercept waveforms, significantly reducing computational load. Furthermore, it corrects the distance before subsequent frequency Doppler compensation, providing data support for the subsequent non-uniform Fourier transform.
[0045] Optionally, the optimal coarse velocity is calculated based on the equivalent coherent waveform echo signal, including: obtaining the coherent accumulation result of the equivalent coherent waveform echo signal through azimuth transformation; constructing an optimization objective function using the discrete form of the coherent accumulation result of the equivalent coherent waveform echo signal; and calculating the optimal coarse velocity using a quasi-Newton algorithm based on the optimization objective function.
[0046] In this embodiment, the time-domain signal of the equivalent coherent waveform after distance migration correction is obtained, and its azimuth is transformed to the frequency domain to obtain the coherent accumulation result of the equivalent coherent waveform echo. An optimization objective function is constructed using the minimum image entropy as the parameter optimization criterion. A quasi-Newton algorithm is used for iteration to quickly approximate the velocity value that minimizes entropy, thus converging to the optimal coarse velocity. This velocity can be used to construct the distance migration compensation function to correct the JFPAW echo signal, thereby reducing the two-dimensional search problem to a one-dimensional scalar optimization, reducing the computational load by two orders of magnitude, and avoiding the signal-to-noise ratio loss caused by mesh mismatch. This allows subsequent non-uniform Fourier transforms to achieve high-gain coherent accumulation based on a straight-line trajectory.
[0047] Optionally, obtaining the coherent accumulation result of the equivalent coherent waveform echo signal through azimuth transformation includes: constructing a range migration compensation function for the equivalent coherent waveform echo based on a preset estimated target coarse velocity; obtaining the time-domain signal of the equivalent coherent waveform after range migration correction based on the range migration compensation function of the equivalent coherent waveform echo; and performing an azimuth transformation on the time-domain signal of the equivalent coherent waveform to obtain the coherent accumulation result of the equivalent coherent waveform echo signal.
[0048] In this embodiment, a range migration compensation function is first constructed on the equivalent coherent waveform echo based on a preset estimated target coarse velocity. The time-domain signal of the corrected equivalent coherent waveform is obtained through this function. Subsequently, an azimuth-directed fast Fourier transform is performed on the time-domain signal to achieve coherent superposition and output the coherent accumulation result of the equivalent coherent waveform.
[0049] Optionally, frequency Doppler compensation is performed on the JFPAW echo signal based on the distance obtained after distance migration compensation, including: constructing a jitter frequency Doppler compensation function based on the distance obtained after distance migration compensation; and compensating for the frequency-agile Doppler terms through the jitter frequency Doppler compensation function to perform frequency Doppler compensation on the JFPAW echo signal.
[0050] Combination Figure 3 As shown, this disclosure provides another method for coherent accumulation of radar waveforms, including: S301, acquire the joint frequency repetition rate agile waveform JFPAW echo signal in the distance-frequency domain and azimuth-time domain.
[0051] S302 performs distance migration compensation on the JFPAW echo signal based on the calculated optimal coarse velocity.
[0052] S303, constructs a jitter frequency Doppler compensation function based on the distance obtained after distance migration compensation.
[0053] S304 compensates for the frequency-agile Doppler term using a jitter frequency Doppler compensation function to perform frequency Doppler compensation on the JFPAW echo signal.
[0054] S305, based on the non-uniform Fourier transform, calculates the coherent accumulation result of the JFPAW echo signal.
[0055] In this embodiment, after range migration compensation is completed, the target energy has been realigned to the same range cell. At this point, a jitter frequency Doppler compensation function is constructed using the range obtained after range migration compensation. Frequency Doppler compensation using this function can cancel the random Doppler phase introduced by the jump. Thus, without changing the original random agility strategy, it retains the advantages of low interception and anti-interference, while enabling high-gain coherent superposition of the subsequent non-uniform Fourier transform on the corrected grid, significantly improving the signal-to-noise ratio and velocity estimation accuracy.
[0056] Optionally, the coherent accumulation result of the JFPAW echo signal is calculated based on the non-uniform Fourier transform, including: normalizing the maximum ambiguity velocity to obtain the maximum unambiguous velocity and the target velocity; uniformly dividing the Doppler channel into m channels, and calculating the velocity of the m-th Doppler channel based on the maximum unambiguous velocity and the target velocity; calculating the n-th pulse of the transform factor of the m-th Doppler channel to obtain the coherent accumulation result of the m-th Doppler channel and using it as the coherent accumulation result of the JFPAW echo signal.
[0057] Combination Figure 4 As shown, this disclosure provides a coherent accumulation method for radar waveforms, including: S401, acquire the joint frequency repetition rate agile waveform JFPAW echo signal in the distance-frequency domain and azimuth-time domain.
[0058] S402 performs distance migration compensation on the JFPAW echo signal based on the calculated optimal coarse velocity.
[0059] S403 performs frequency Doppler compensation on the JFPAW echo signal based on the distance obtained after distance migration compensation.
[0060] S404 normalizes the maximum fuzzy velocity to obtain the maximum unfuzzy velocity and the target velocity.
[0061] S405, the Doppler channel is evenly divided into m segments, and the velocity of the m-th Doppler channel is calculated based on the maximum unambiguous velocity and the target velocity.
[0062] S406, calculate the nth pulse of the mth Doppler channel transformation factor to obtain the coherent accumulation result of the mth Doppler channel and use it as the coherent accumulation result of the JFPAW echo signal.
[0063] In this embodiment of the disclosure, after completing the dual compensation for range migration and frequency Doppler, the corrected JFPAW echo signal is subjected to a non-uniform Fourier transform along the azimuth direction. First, a reference frequency and reference pair are selected to normalize the maximum ambiguity velocity, thereby obtaining its maximum unambiguous velocity, and its target velocity is expressed.
[0064] The Doppler channel is then uniformly divided into m segments, and the velocity of the m-th Doppler channel is obtained after discretizing the maximum unambiguous velocity. A non-uniform Fourier transform factor is constructed, and this factor is multiplied pulse-by-pulse by pulse with the compensated echo and accumulated to obtain the coherent accumulation result of the m-th channel.
[0065] Alternatively, the JFPAW echo signal can be represented by the following formula:
[0066] in, γ is the frequency modulation slope of the linear frequency modulated signal. Let n be the carrier frequency of the nth pulse. The pulse duration, For the frequency in the frequency domain, This is the distance obtained after distance migration compensation. The target speed.
[0067] In this embodiment, the phase term in the signal after frequency Doppler compensation is a coupling of velocity, frequency, and slow time. However, since the pulse repetition frequency is randomly variable, the phase term is non-uniformly sampled in both the frequency domain and slow time. Traditional Fourier transforms cannot achieve azimuth accumulation. Therefore, by constructing a non-uniform Fourier transform factor that matches the transmitted signal, azimuth coherent accumulation of the echo signal can be achieved.
[0068] Combination Figure 5 As shown, this embodiment of the present disclosure provides a coherent accumulation device 500 for radar waveforms, including a signal acquisition module 501, a range migration compensation module 502, a frequency Doppler compensation module 503, and a coherent accumulation module 504. The signal acquisition module 501 is configured to acquire the joint frequency repetition rate agile waveform (JFPAW) echo signal in the range-frequency domain and azimuth-time domain; the range migration compensation module 502 is configured to perform range migration compensation on the JFPAW echo signal based on the calculated optimal coarse velocity; the frequency Doppler compensation module 503 is configured to perform frequency Doppler compensation on the JFPAW echo signal based on the range obtained after range migration compensation; and the coherent accumulation module 504 is configured to calculate the coherent accumulation result of the JFPAW echo signal based on a non-uniform Fourier transform.
[0069] The coherent accumulation device 500 for radar waveforms provided in this embodiment acquires the pulse-compressed JFPAW echo signal. The optimal coarse velocity is obtained using the image minimum entropy criterion to construct a range migration compensation function, accurately correcting the range and realigning the energy of the same target in the range dimension. Subsequently, based on the compensated range, a jitter frequency Doppler compensation function matching the transmitted carrier frequency sequence is established to address the random Doppler phase jumps caused by frequency agility, achieving phase linearization. Finally, the double-compensated signal is mapped to a non-uniform Doppler grid, and coherent accumulation is completed through an improved non-uniform Fourier transform. Thus, this embodiment maintains the advantages of low interception and anti-deception interference from the fully random agility of the JFPAW echo signal while significantly improving the radar's detection sensitivity, velocity estimation accuracy, and anti-jamming identification capability against high-speed, highly maneuverable targets using a small amount of compensation computation.
[0070] Combination Figure 6As shown, this disclosure provides a coherent accumulation device 60 for radar waveforms, including a processor 600 and a memory 601. Optionally, the device 60 may further include a communication interface 602 and a bus 603. The processor 600, communication interface 602, and memory 601 can communicate with each other via the bus 603. The communication interface 602 can be used for information transmission. The processor 600 can call logical instructions in the memory 601 to execute the coherent accumulation method for radar waveforms described in the above embodiment.
[0071] Furthermore, the logic instructions in the aforementioned memory 601 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.
[0072] The memory 601, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 600 executes functional applications and data processing by running the program instructions / modules stored in the memory 101, that is, implementing the coherent accumulation method for radar waveforms in the above embodiments.
[0073] The memory 601 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 601 may include high-speed random access memory and may also include non-volatile memory.
[0074] This disclosure provides an electronic device, including: an electronic device body, and the aforementioned coherent accumulation device for radar waveforms. The coherent accumulation device for radar waveforms is mounted on the electronic device body. The mounting relationship described herein is not limited to placement within the electronic device body, but also includes mounting connections with other components of the electronic device, including but not limited to physical connections, electrical connections, or signal transmission connections. Those skilled in the art will understand that the coherent accumulation device for radar waveforms can be adapted to suitable electronic device bodies to achieve other feasible embodiments.
[0075] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, such as a USB flash drive, external hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc., and other media capable of storing program code.
[0076] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.
[0077] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0078] The methods and products disclosed in the embodiments herein (including but not limited to devices and equipment) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to implement this embodiment according to actual needs. In addition, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0079] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.
Claims
1. A coherent accumulation method for radar waveforms, characterized in that, include: Acquire the JFPAW echo signal, which is a joint frequency repetition rate agile waveform in the distance-frequency domain and the azimuth-time domain. Based on the calculated optimal coarse velocity, distance migration compensation is performed on the JFPAW echo signal; Frequency Doppler compensation is performed on the JFPAW echo signal based on the distance obtained after distance migration compensation; The coherent accumulation result of the JFPAW echo signal is calculated based on the non-uniform Fourier transform.
2. The coherent accumulation method according to claim 1, characterized in that, Based on the calculated optimal coarse velocity, distance migration compensation is performed on the JFPAW echo signal, including: Obtain the equivalent coherent waveform echo signal in the range, frequency domain, and azimuth, and time domain; The optimal coarse velocity is calculated based on the equivalent coherent waveform echo signal. Based on the optimal coarse velocity, a distance migration compensation function is constructed to compensate for the distance migration of the JFPAW echo signal.
3. The coherent accumulation method according to claim 2, characterized in that, The optimal coarse velocity is calculated based on the equivalent coherent waveform echo signal, including: The coherent accumulation result of the equivalent coherent waveform echo signal is obtained by azimuth transformation; The objective function is constructed by using the discrete form of the coherent accumulation result of the equivalent coherent waveform echo signal; The optimal coarse velocity is obtained by solving the quasi-Newton algorithm based on the objective function.
4. The coherent accumulation method according to claim 3, characterized in that, The coherent accumulation results of the equivalent coherent waveform echo signal obtained through azimuth transformation include: Based on the preset estimated target coarse velocity, construct the range migration compensation function of the equivalent coherent waveform echo; Based on the range migration compensation function of the equivalent coherent waveform echo, the time-domain signal of the equivalent coherent waveform after range migration correction is obtained; An azimuth transformation is performed on the time-domain signal of the equivalent coherent waveform to obtain the coherent accumulation result of the echo signal of the equivalent coherent waveform.
5. The coherent accumulation method according to claim 1, characterized in that, Based on the distance obtained after distance migration compensation, frequency Doppler compensation is performed on the JFPAW echo signal, including: Construct a jitter frequency Doppler compensation function based on the distance obtained after distance migration compensation; Frequency Doppler compensation for JFPAW echo signals is achieved by compensating for the frequency-agile Doppler terms using a jitter frequency Doppler compensation function.
6. The coherent accumulation method according to claim 1, wherein the coherent accumulation result of the JFPAW echo signal is calculated based on the non-uniform Fourier transform, includes: The maximum fuzzy velocity is normalized to obtain the maximum unfuzzy velocity and the target velocity. The Doppler channel is evenly divided into m segments, and the velocity of the m-th Doppler channel is calculated based on the maximum unambiguous velocity and the target velocity. Calculate the nth pulse of the mth Doppler channel transform factor to obtain the coherent accumulation result of the mth Doppler channel and use it as the coherent accumulation result of the JFPAW echo signal.
7. The coherent accumulation method according to any one of claims 1 to 6, characterized in that, The JFPAW echo signal is represented by the following formula: in, γ is the frequency modulation slope of the linear frequency modulated signal. Let n be the carrier frequency of the nth pulse. The pulse duration, For the frequency in the frequency domain, This is the distance obtained after distance migration compensation. The target speed.
8. A coherent accumulation device for radar waveforms, characterized in that, include: The signal acquisition module is configured to acquire the joint frequency repetition rate agile waveform (JFPAW) echo signal in the range-frequency domain and azimuth-time domain; The distance migration compensation module is configured to perform distance migration compensation on the JFPAW echo signal based on the calculated optimal coarse velocity; The frequency Doppler compensation module is configured to perform frequency Doppler compensation on the JFPAW echo signal based on the distance obtained after distance migration compensation. The coherent accumulation module is configured to calculate the coherent accumulation result of the JFPAW echo signal based on the non-uniform Fourier transform.
9. A coherent accumulation device for radar waveforms, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute, when running the program instructions, the coherent accumulation method for radar waveforms as described in any one of claims 1 to 7.
10. An electronic device, characterized in that, include: The electronic device itself; The coherent accumulation device for radar waveforms as described in claim 8 or 9 is installed on the electronic device body.