Synthetic aperture radar radio frequency interference suppression method and system based on S transformation, storage device and electronic equipment

Abstract

The invention discloses a synthetic aperture radar radio frequency interference suppression method and system based on S transformation, a storage device and electronic equipment, and the method comprises the following steps: detecting interference-containing echo data through a method based on the flatness and symmetry of a distance spectrum, and marking interference-containing pulses; for the interference-containing pulse, calculating the amplitude spectrum of the interference-containing pulse, and carrying out smoothing and normalization processing; after the normalized amplitude spectrum is scaled, optimized window parameters are obtained through calculation; converting the interference-containing pulse to a time-frequency domain based on the optimized window parameter; an interference position in a time-frequency domain is positioned through an OSTU algorithm, and radio frequency interference is eliminated through a notch technology; inversely transforming the processed non-interference pulse to a time domain based on the optimized window parameter; and forming new interference-free echo data by all the processed interference-containing pulses and interference-free pulses. According to the method, radio frequency interference and useful signals can be effectively separated, so that the influence of the radio frequency interference on the image quality of the synthetic aperture radar is remarkably reduced.

Description

Technical Field

[0001] The present application relates to the field of signal processing technology, and in particular to a method, system, computer-readable storage medium and electronic device for suppressing radio frequency interference of synthetic aperture radar based on S transform. Background Art

[0002] As an active microwave remote sensing device, Synthetic Aperture Radar (SAR) can obtain high-precision ground target information all day and all weather. It achieves high resolution in azimuth and range through synthetic aperture and pulse compression technology. However, with the rapid development of modern communication technology, spectrum resources are becoming increasingly scarce. As an open radar system, SAR has to share spectrum with other devices in the same frequency band, which makes its electromagnetic environment more complex and faces more severe radio frequency interference (RFI) problems. These RFI problems pose a huge threat to SAR systems and seriously affect the performance of SAR. On the one hand, the impulse response disturbance caused by RFI reduces the quality of SAR imaging, resulting in bright lines, fog artifacts and blur in the image. On the other hand, the presence of RFI will lead to inaccurate spatial and radiation measurements, and the resulting polarization and phase distortion will further hinder the business applications of SAR images, such as agricultural surveys, land planning and ecological environment monitoring.

[0003] In this context, time-frequency transform technology, as a method that combines time and frequency information, has shown its important role in interference feature extraction. Compared with traditional time domain and frequency domain suppression methods, the time-frequency domain suppression method can more accurately capture interference features on the time-frequency plane, thereby more effectively realizing interference detection and suppression. Because of this, time-frequency domain suppression has gradually become an important trend in dealing with interference problems in complex electromagnetic environments.

[0004] At present, the interference suppression method in the time-frequency domain mainly uses the time-frequency transformation technology to convert the data into the time-frequency domain, and then detects and suppresses the interference according to the characteristics of the interference in the time-frequency domain. For example, Zhang et al. designed an interference suppression filter based on the analysis of the time-frequency characteristics of NBI and WBI and combined with the constant false alarm rate algorithm. Su et al. proposed an interference suppression algorithm based on robust principal component analysis (RPCA) in the time-frequency domain. This method first introduced the RPCA algorithm into the time-frequency domain signal separation. Lyu et al. proposed a broadband complex parameter interference suppression algorithm based on low-rank sparse matrix decomposition of the signal time-frequency domain. Han et al. proposed a WBI suppression and single component extraction method combining instantaneous frequency estimation and regularized time-frequency filtering. However, the above studies always choose the simple and fast STFT when performing time-frequency transformation, and ignore the influence of the poor time-frequency resolution of STFT.

[0005] In summary, the existing time-frequency domain interference suppression methods mostly focus on the research of interference suppression methods after time-frequency transformation, ignoring the potential impact of time-frequency transformation itself on the interference suppression effect. In order to ensure the quality of SAR images, high-resolution time-frequency representation of interference pulses can provide reliable technical support for SAR anti-interference, which is of great significance to improving the survivability and practical effectiveness of SAR systems in complex electromagnetic environments. Summary of the invention

[0006] The purpose of the present application is to provide a time-frequency domain synthetic aperture radar radio frequency interference suppression method, system, storage device and electronic device to solve or alleviate the problems existing in the above-mentioned prior art.

[0007] In order to achieve the above objectives, this application provides the following technical solutions:

[0008] The present application provides a time-frequency domain synthetic aperture radar radio frequency interference suppression method, comprising: step S101, applying a method based on range spectrum flatness and symmetry to detect interference echo data, and marking interference pulses; step S102, calculating the interference pulse amplitude spectrum, and performing smoothing and normalization processing; step S103, after scaling the normalized amplitude spectrum, calculating and obtaining optimized window parameters; step S104, converting the interference pulse to the time-frequency domain based on the window parameters of step S103; step S105, locating the interference position in the time-frequency domain by an OSTU algorithm, and eliminating radio frequency interference by a notch technology; step S106, inversely transforming the processed interference-free pulse to the time domain; step S107, combining all the processed interference-containing pulses and non-interference pulses into new interference-free echo data.

[0009] Preferably, in step S101, a method based on the flatness and symmetry of the range spectrum is applied to detect the interference echo data and mark the interference pulses, specifically:

[0010] The kurtosis and residual energy of each echo are calculated pulse by pulse, and the kurtosis value sequence and residual energy sequence are obtained, which are classified by K-means algorithm.

[0011] Let K(η) and C(η) represent the RFI detection results based on flatness and symmetry indicators respectively, and multiply the classification results of flatness and symmetry. The results obtained satisfying flatness and symmetry are echoes without RFI, and the rest are echoes containing RFI. The process can be expressed as:

[0012]

[0013] Wherein Y(η) represents the RF interference detection result, the constant 1 indicates that there is no interference in the echo, and the constant 0 indicates that there is interference in the echo.

[0014] Preferably, in step S102, the amplitude spectrum of the interference pulse is calculated, and smoothed and normalized, specifically:

[0015] Calculate the original echo signal x(t), and adjust it by smoothing and normalization to obtain the normalized amplitude spectrum X norm (f) namely:

[0016] X(f)=smooth{abs[FT(x(t))]}

[0017]

[0018] In the formula, smooth means smoothing; FT means Fourier transform.

[0019] Preferably, in step S103, after scaling the normalized amplitude spectrum, the optimized window parameters are calculated, specifically:

[0020] X r (f) = [rX norm (f)]+1

[0021] For SAR echo signals, the parameter r is usually 2 or 3.

[0022] Next, we calculate the frequency-varying window parameter p(f) to better match the signal with different frequency components:

[0023]

[0024] Where N r Indicates the number of sampling points in the distance direction.

[0025] Finally, the parameters α and β are introduced to further optimize the window parameters p(f) and construct the window parameters of the improved S transform:

[0026]

[0027] The improved window function w is obtained ′ (t,f) is:

[0028]

[0029] Preferably, in step S104, the interference-containing pulse is converted into the time-frequency domain according to the window parameter of step S103, specifically:

[0030] For the RF interference detection result Y(η) in step S101, let x η (t) is the nth pulse data and Y(n) = 0, then its time-frequency domain representation is:

[0031]

[0032] Wherein, w(t) is the window function optimized in step S103.

[0033] Preferably, in step S105, the interference position in the time-frequency domain is located by using the OSTU algorithm, and the radio frequency interference is eliminated by using the notch technology, specifically:

[0034] For the time-frequency representation of interference pulses, the OSTU algorithm is used to obtain the interference position matrix P i (t,f), and perform notch operation on this basis. The mathematical expression of this process is:

[0035]

[0036] That is Results after interference suppression.

[0037] Preferably, in step S106, the processed interference-free pulse The inverse transform to the time domain is:

[0038]

[0039] The original signal is restored using the parameters corresponding to the time-frequency transformation in step S103.

[0040] Preferably, in step S107, the interference-free echo data is reassembled, specifically:

[0041] All processed interference pulses Together with the unmarked pulses in step S101, new interference-free echo data are formed.

[0042] The embodiment of the present application also provides a method for suppressing radio frequency interference of synthetic aperture radar in time-frequency domain, comprising: an interference pulse detection and marking unit, configured to detect and mark interference-containing pulses from synthetic aperture radar data input into the system; an amplitude spectrum calculation and preprocessing unit, configured to obtain a normalized amplitude spectrum of original echo data; a window parameter optimization unit, configured to scale the normalized amplitude spectrum and calculate the optimized window parameters; a time-frequency domain transformation unit, configured to convert the interference-containing pulses into the time-frequency domain using the optimized window parameters; an interference positioning and suppression unit, configured to locate the interference position in the time-frequency domain and eliminate radio frequency interference by using a notch technology; a time-frequency domain inverse transformation unit, configured to inversely transform the processed interference-free pulses into the time domain using the optimized window parameters; and a non-interference pulse recombination unit, configured to recombine all the processed interference-containing pulses and non-interference-containing pulses to obtain new interference-free echo data.

[0043] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored, wherein the program is any of the time-frequency domain synthetic aperture radar radio frequency interference suppression methods described above.

[0044] An embodiment of the present application also provides an electronic device, comprising: a memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the time-frequency domain synthetic aperture radar radio frequency interference suppression method as described above is implemented.

[0045] Beneficial effects:

[0046] In the time-frequency domain synthetic aperture radar radio frequency interference suppression method provided by the present application, first, the interference-containing pulse is detected and marked from the synthetic aperture radar data of the input system; the interference-containing pulse amplitude spectrum is calculated, and smoothed and normalized; after scaling the normalized amplitude spectrum, the optimized window parameters are calculated; the interference-containing pulse is converted to the time-frequency domain; the interference position in the time-frequency domain is located, and the radio frequency interference is eliminated by the notch technology; the processed non-interference pulse is inversely transformed to the time domain; finally, all the processed interference-containing pulses and non-interference pulses are combined into new non-interference echo data. Through the present invention, the limitations of the low calculation efficiency and insufficient time-frequency focusing of the S transform in suppressing radio frequency interference can be overcome, and it can be widely used in image processing in synthetic aperture radar systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. Among them:

[0048] Figure 1 A schematic diagram of a process according to the present invention;

[0049] Figure 2 Image features of synthetic aperture radar radio frequency interference signals provided according to some embodiments of the present application;

[0050] Figure 3 Different domain characteristics of synthetic aperture radar radio frequency interference signals provided according to some embodiments of the present application;

[0051] Figure 4 A schematic diagram of synthetic aperture radar radio frequency interference suppression results provided according to some embodiments of the present application;

[0052] Figure 5 It is a unit configuration diagram according to the present application. DETAILED DESCRIPTION

[0053] The present application will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments. Each example is provided by way of explanation of the present application and does not limit the present application. In fact, it will be clear to those skilled in the art that modifications and variations may be made in the present application without departing from the scope or spirit of the present application. For example, a feature shown or described as a part of an embodiment may be used in another embodiment to produce yet another embodiment. Therefore, it is desired that the present application includes such modifications and variations within the scope of the appended claims and their equivalents.

[0054] Exemplary Methods

[0055] like Figure 1 As shown, the time-frequency domain synthetic aperture radar radio frequency interference suppression method includes:

[0056] Step S101, using a method based on the flatness and symmetry of the range spectrum to detect the interference echo data, and marking the interference pulses;

[0057] Specifically, the kurtosis and residual energy of each echo are calculated pulse by pulse, and a kurtosis value sequence and a residual energy sequence are obtained, which are then classified using a K-means algorithm.

[0058] Let K(η) and C(η) represent the RFI detection results based on flatness and symmetry indicators respectively, and multiply the classification results of flatness and symmetry. The results obtained satisfying flatness and symmetry are echoes without RFI, and the rest are echoes containing RFI. The process can be expressed as:

[0059]

[0060] Wherein Y(η) represents the RF interference detection result, the constant 1 indicates that there is no interference in the echo, and the constant 0 indicates that there is interference in the echo.

[0061] Step S102, calculating the amplitude spectrum of the interference pulse, and performing smoothing and normalization processing;

[0062] Calculate the original echo signal x(t), and adjust it by smoothing and normalization to obtain the normalized amplitude spectrum X norm (f) namely:

[0063] X(f)=smooth{abs[FT(x(t))]}

[0064]

[0065] In the formula, smooth means smoothing; FT means Fourier transform.

[0066] Step S103: After scaling the normalized amplitude spectrum, the optimized window parameters are calculated; specifically,

[0067] X r (f) = [rX norm (f)]+1

[0068] For SAR echo signals, the parameter r is usually 2 or 3.

[0069] Next, we calculate the frequency-varying window parameter p(f) to better match the signal with different frequency components:

[0070]

[0071] Where N r Indicates the number of sampling points in the distance direction.

[0072] Finally, the parameters α and β are introduced to further optimize the window parameters p(f) and construct the window parameters of the improved S transform:

[0073]

[0074] The improved window function w is obtained ′ (t,f) is:

[0075]

[0076] Step S104: convert the interference pulse into the time-frequency domain according to the window parameter of step S103; for the radio frequency interference detection result Y(η) of step S101, set x η (t) is the nth pulse data and Y(n) = 0, then its time-frequency domain representation is:

[0077]

[0078] Wherein, w(t) is the window function optimized in step S103.

[0079] Step S105: locate the interference position in the time-frequency domain by using the OSTU algorithm, and eliminate the radio frequency interference by using the notch technology;

[0080] For the time-frequency representation of interference pulses, the OSTU algorithm is used to obtain the interference position matrix P i (t,f), and perform notch operation on this basis. The mathematical expression of this process is:

[0081]

[0082] That is Results after interference suppression.

[0083] Step S106: The processed non-interference pulse Inverse transform to time domain;

[0084]

[0085] The original signal is restored using the parameters corresponding to the time-frequency transformation in step S103.

[0086] Step S107: All processed interference pulses Together with the unmarked pulses in step S101, new interference-free echo data are formed.

[0087] By optimizing the window function, the present application can distinguish different frequency components according to the amplitude of the actual signal, significantly improve the time-frequency resolution of the S transform, improve the focusing of the interference signal, and can more accurately locate the interference signal, providing strong support for subsequent RF interference suppression.

[0088] Figure 2 The imaging results of the C-band Sentinel-1A raw data containing radio frequency interference are shown. The data was collected on February 18, 2022, and artifacts caused by radio frequency interference can be seen throughout the image.

[0089] Figure 3 Shown Figure 2 Different domain characteristics of the data. Figure 3 The above figure shows a two-dimensional time domain amplitude image, in which bright lines formed by radio frequency interference are densely covered on the SAR echo data. Figure 3 The figure below shows the range frequency domain-azimuth time domain amplitude image.

[0090] Figure 4 This is the imaging result after using different interference suppression methods. Figure 4 (a) shows the SAR image processed by the traditional STFT method. Although most of the interference signals are suppressed, some interference still remains. In addition, details such as roads and buildings in the interference-free area become blurred, indicating that the useful signal is seriously lost. Figure 4 (b) is the result after processing by the traditional method based on S transform. The interference residue is reduced and the detail information is relatively well preserved, but there is still a certain blur phenomenon. The overall performance is better than the STFT method. Figure 4 (c) shows the effect of the method proposed in this application. The white interference stripes are almost completely suppressed, and the details of the non-interference area such as roads and buildings remain clear, indicating that the proposed method has more advantages in interference suppression and signal retention. (d) to (f) are partial enlarged images of the area of ​​interest in the red box, which further intuitively show the differences between the methods in suppressing interference and protecting useful signals.

[0091] Exemplary Systems

[0092] Figure 5 A time-frequency domain synthetic aperture radar radio frequency interference suppression system is also provided for the embodiment of the present application, including: an interference pulse detection and marking unit, configured to detect and mark interference-containing pulses from synthetic aperture radar data input into the system; an amplitude spectrum calculation and preprocessing unit, configured to obtain a normalized amplitude spectrum of original echo data; a window parameter optimization unit, configured to scale the normalized amplitude spectrum and calculate the optimized window parameters; a time-frequency domain transformation unit, configured to convert the interference-containing pulses to the time-frequency domain using the optimized window parameters; an interference positioning and suppression unit, configured to locate the interference position in the time-frequency domain and eliminate radio frequency interference by notch technology; a time-frequency domain inverse transformation unit, configured to inversely transform the processed interference-free pulses to the time domain using the optimized window parameters; and a non-interference echo recombining unit, configured to recombine all the processed interference-containing pulses and non-interference-containing pulses to obtain new interference-free echo data.

[0093] The time-frequency domain synthetic aperture radar radio frequency interference suppression system provided in the embodiment of the present application can implement any of the above-mentioned time-frequency domain synthetic aperture radar radio frequency interference suppression steps and processes, and achieve the same technical effect, which will not be repeated here one by one.

[0094] Exemplary Devices

[0095] The present application provides an electronic device, including a storage device and a processor, wherein the processor is suitable for executing various programs; and the memory is used to store multiple programs; it is characterized in that when the memory executes the program on the processor, the time-frequency domain synthetic aperture radar radio frequency interference suppression method as described in any one of claims 1-7 is implemented.

[0096] Since the time-frequency domain synthetic aperture radar radio frequency interference suppression steps have been introduced in detail in the specific implementation method example, they will not be repeated here.

[0097] The processor includes a central processing unit (CPU), a network processor (NP), etc. It can also be a digital signal processor, an application-specific integrated circuit, a readily available programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. The disclosed methods, steps and logic block diagrams in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0098] The processor can be specifically configured as follows: detecting and marking interference pulses from synthetic aperture radar data of an input system; calculating a normalized amplitude spectrum of the original echo data; scaling the normalized amplitude spectrum and calculating optimized window parameters; using the optimized window parameters, converting the interference pulses to the time-frequency domain; locating the interference position in the time-frequency domain and eliminating radio frequency interference by notch technology; inversely transforming the processed interference-free pulses to the time domain by using the optimized window parameters; and recombining all processed interference-containing pulses with interference-free pulses to obtain new interference-free echo data.

[0099] It should be pointed out that, according to the needs of implementation, the various components / steps described in the embodiments of the present application can be split into more components / steps, or two or more components / steps or partial operations of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of the present application.

[0100] The above-mentioned method according to the embodiment of the present application can be implemented in hardware, firmware, or implemented as software or computer code that can be stored in a recording medium (such as a CD ROM, RAM, floppy disk, hard disk or magneto-optical disk), or implemented as a computer code originally stored in a remote recording medium or a non-temporary machine storage medium downloaded through a network and to be stored in a local recording medium, so that the method described herein can be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor or programmable or dedicated hardware (such as an ASIC or FPGA). It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the time-frequency domain synthetic aperture radar interference suppression method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown herein, the execution of the code converts the general-purpose computer into a dedicated computer for executing the method shown herein.

[0101] Those of ordinary skill in the art will appreciate that the units and method steps of each example 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 performed in hardware or software depends on the specific application and constraints involved in the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present application.

[0102] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0103] The device and system embodiments described above are merely illustrative, wherein the units not shown as separate may or may not be physically separated, and the units not shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0104] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A synthetic aperture radar radio frequency interference suppression method based on S transform, characterized in that: The steps include: Step S101, using a method based on the flatness and symmetry of the range spectrum to detect the interference echo data, and marking the interference pulses; Step S102, calculating the amplitude spectrum of the interference pulse, and performing smoothing and normalization processing on the amplitude spectrum; Step S103, after scaling the normalized amplitude spectrum, calculate and obtain optimized window parameters; Step S104, converting the pulse containing interference into the time-frequency domain based on the window parameters of step S103; Step S105: locate the interference position in the time-frequency domain by using the OSTU algorithm, and eliminate the radio frequency interference by using the notch technology; Step S106, inversely transforming the processed interference-free pulse to the time domain; In step S107, all processed pulses containing interference and pulses without interference are combined into new echo data without interference.

2. The method for suppressing radio frequency interference of synthetic aperture radar based on S transform according to claim 1, characterized in that: Step S101 specifically includes the following steps: The kurtosis and residual energy of each echo are calculated pulse by pulse, and the kurtosis value sequence and residual energy sequence are obtained, which are classified by the K-means algorithm. Let K(η) and C(η) represent the RFI detection results based on flatness and symmetry indicators respectively, and multiply the classification results of flatness and symmetry; the results that meet the flatness and symmetry are echoes without RFI, and the rest are echoes with RFI. The process can be expressed as: Wherein Y(η) represents the RF interference detection result, the constant 1 indicates that there is no interference in the echo, and the constant 0 indicates that there is interference in the echo.

3. The method for suppressing radio frequency interference of synthetic aperture radar based on S transform according to claim 1, characterized in that: Step S102 specifically includes the following steps: Calculate the original echo signal x(t), and adjust it by smoothing and normalization to obtain the normalized amplitude spectrum X norm (f) namely: X(f)=smooth{abs[FT(x(t))]} In the formula, smooth means smoothing; FT means Fourier transform.

4. The method for suppressing radio frequency interference of synthetic aperture radar based on S transform according to claim 1, characterized in that: The step S103 specifically includes the following steps: X r (f)=[rX norm (f)]+1 For SAR echo signals, the parameter r is usually 2 or 3; Next, we calculate the frequency-varying window parameter p(f) to better match the signal with different frequency components: Where N r Indicates the number of sampling points in the distance direction. Finally, the parameters α and β are introduced to further optimize the window parameters p(f) and construct the window parameters of the improved S transform: The improved window function w′(t,f) is:

5. The method for suppressing radio frequency interference of synthetic aperture radar based on S transform according to claim 1, characterized in that: The step S104 is specifically as follows: For the radio frequency interference detection result Y(η) of step S101, let η η (t) is the nth pulse data and Y(n) = 0, then its time-frequency domain representation is: Wherein, w(t-τ) is the window function optimized in step S103.

6. The method for suppressing radio frequency interference of synthetic aperture radar based on S transform according to claim 1, characterized in that: The step S105 is specifically as follows: For the time-frequency representation of interference pulses, the OSTU algorithm is used to obtain the interference position matrix P i (t,f), and perform notch operation on this basis. The mathematical expression of this process is: That is, there are no interfering pulses.

7. The method for suppressing radio frequency interference of synthetic aperture radar based on S transform according to claim 1, characterized in that: In step S106, the processed interference-free pulse The inverse transform to the time domain is: The original signal is restored using the parameters corresponding to the time-frequency transformation in step S103.

8. A synthetic aperture radar radio frequency interference suppression system based on S transform, characterized in that: include: an interference pulse detection and marking unit configured to detect and mark interference-containing pulses from synthetic aperture radar data input into the system; an amplitude spectrum calculation and preprocessing unit, configured to obtain a normalized amplitude spectrum of the original echo data; A window parameter optimization unit is configured to calculate optimized window parameters after scaling the normalized amplitude spectrum; a time-frequency domain conversion unit configured to convert the interference-containing pulse into the time-frequency domain using the optimized window parameters; an interference location and suppression unit configured to locate the interference position in the time and frequency domains and eliminate the radio frequency interference by using a notch technique; a time-frequency domain inverse transform unit configured to inversely transform the processed interference-free pulses into the time domain using the optimized window parameters; The interference-free echo reassembly unit is configured to reassemble all processed interference-containing pulses and non-interference-containing pulses to obtain new interference-free echo data.

9. A storage device storing a plurality of programs, characterized in that: The program application is loaded and executed by a processor to implement the synthetic aperture radar radio frequency interference suppression method based on S transform as described in any one of claims 1-7.

10. An electronic device, comprising a storage device and a processor; the processor is adapted to execute various programs; and the memory is adapted to store a plurality of programs; characterized in that: When the memory executes the program on the processor, the method for suppressing radio frequency interference of synthetic aperture radar based on S transform as described in any one of claims 1 to 7 is implemented.

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