Signal transmission method, device, equipment and storage medium based on spectrum compression

Abstract

A signal transmission method, apparatus, device, and storage medium based on spectrum compression, relating to the field of optical communication technology, includes performing partial response filtering and low-pass filtering on a target transmitted signal according to the principle of maximizing the main lobe energy within a preset target bandwidth range, thereby achieving spectrum shaping of the signal and outputting a target compressed signal; downsampling the target compressed signal; and then photoelectrically modulating the downsampled signal before transmitting it to the receiving end. This application effectively reduces the signal bandwidth, enabling low baud rate and low bandwidth transmission of signals under ultra-high baud rate conditions.

Description

Technical Field

[0001] This application relates to the field of optical communication technology, specifically to a signal transmission method, apparatus, device, and storage medium based on spectrum compression. Background Technology

[0002] With the continuous advancement of social informatization, the demand for bandwidth has increased dramatically due to the development of emerging businesses such as ultra-high-definition video, cloud computing, and the Internet of Things. This demand has driven technological progress, resulting in a significant increase in the single-channel transmission rate of optical transmission systems, with technologies such as 400G and 1T per channel becoming increasingly common. However, due to the cost of components, the effective bandwidth remains limited. Therefore, to achieve high-speed modulation, the industry typically employs high-order modulation schemes, such as 16-QAM (Quadrature Amplitude Modulation) or 64-QAM. While high-order modulation brings the benefit of improved spectral efficiency, it also increases the signal-to-noise ratio requirements, making the signal quality more susceptible to noise. This limits the transmission distance of ultra-high-speed optical signals to a certain range, hindering long-distance transmission.

[0003] Therefore, finding a scheme to achieve low-order, high-speed modulation under limited bandwidth conditions has become a hot research topic in academia and industry. Among related technologies, low-order, high-speed modulation can be achieved through Nyquist shaping. However, while it can compress the signal bandwidth to the same level as the transmitted baud rate, further bandwidth compression, i.e., under post-Nyquist conditions, leads to a rapid decline in signal quality, making it difficult to maintain the original performance. Thus, finding a way to achieve signal compression under post-Nyquist conditions to enable efficient transmission of ultra-high-speed signals is of great significance to the entire optical communication system. Summary of the Invention

[0004] This application provides a signal transmission method, apparatus, device, and storage medium based on spectrum compression, which can effectively reduce signal bandwidth to achieve low baud rate and low bandwidth transmission of signals under ultra-high baud rate conditions.

[0005] In a first aspect, embodiments of this application provide a signal transmission method based on spectrum compression, comprising the following steps:

[0006] Based on the principle of maximizing the main lobe energy within the preset target bandwidth, the target transmitted signal is processed by partial response filtering and low-pass filtering based on partial response filtering and low-pass filtering to achieve spectrum shaping of the signal and output the target compressed signal.

[0007] The target compressed signal is downsampled, and the downsampled signal is then photoelectrically modulated and transmitted to the receiving end.

[0008] In conjunction with the first aspect, in one embodiment, the step of performing partial response filtering and low-pass filtering on the target transmitted signal based on a partial response filter and a low-pass filter, according to the principle of maximizing the main lobe energy within a preset target bandwidth, to achieve spectral shaping of the signal and output a target compressed signal, includes:

[0009] The target transmitted signal is processed by partial response filtering to obtain an initial partial response signal.

[0010] The initial partial response signal is low-pass filtered to obtain the compressed signal.

[0011] The partial response filter coefficients corresponding to the partial response filter are updated to control the partial response filter to perform partial response filtering on the compressed signal based on the new partial response filter coefficients, so as to obtain a new partial response signal.

[0012] Based on the new partial response signal, the step of performing low-pass filtering on the initial partial response signal based on the low-pass filter is executed until the main lobe energy within the target bandwidth is maximized, so as to realize the spectrum shaping of the signal and output the target compressed signal.

[0013] In conjunction with the first aspect, in one implementation, the partial response signal obtained after partial response filtering is used as the reference signal for channel equalization at the receiver.

[0014] In conjunction with the first aspect, in one embodiment, after the step of transmitting the downsampled signal to the receiving end after photoelectric modulation, the method further includes: controlling the receiving end to receive and equalize the signal transmitted by the transmitting end according to the original photoelectric reception and equalization process.

[0015] Secondly, embodiments of this application provide a signal transmission device based on spectrum compression, comprising:

[0016] The first processing module is used to perform partial response filtering and low-pass filtering on the target transmitted signal according to the principle of maximizing the main lobe energy within the preset target bandwidth range, based on partial response filters and low-pass filters, so as to realize the spectrum shaping of the signal and output the target compressed signal.

[0017] The second processing module is used to downsample the target compressed signal and then photoelectrically modulate the downsampled signal before transmitting it to the receiving end.

[0018] In conjunction with the second aspect, in one implementation, the first processing module is specifically used for:

[0019] The target transmitted signal is processed by partial response filtering to obtain an initial partial response signal.

[0020] The initial partial response signal is low-pass filtered to obtain the compressed signal.

[0021] The partial response filter coefficients corresponding to the partial response filter are updated to control the partial response filter to perform partial response filtering on the compressed signal based on the new partial response filter coefficients, so as to obtain a new partial response signal.

[0022] Based on the new partial response signal, the step of performing low-pass filtering on the initial partial response signal based on the low-pass filter is executed until the main lobe energy within the target bandwidth is maximized, so as to realize the spectrum shaping of the signal and output the target compressed signal.

[0023] In conjunction with the second aspect, in one implementation, the partial response signal obtained after partial response filtering is used as the reference signal for channel equalization at the receiving end.

[0024] In conjunction with the second aspect, in one embodiment, the device further includes a third processing module, which is used to: control the receiving end to receive and equalize the signal transmitted by the transmitting end according to the original photoelectric receiving and equalization process.

[0025] Thirdly, embodiments of this application provide a signal transmission device based on spectrum compression. The signal transmission device based on spectrum compression includes a processor, a memory, and a signal transmission program based on spectrum compression stored in the memory and executable by the processor. When the signal transmission program based on spectrum compression is executed by the processor, it implements the steps of the aforementioned signal transmission method based on spectrum compression.

[0026] Fourthly, embodiments of this application provide a computer-readable storage medium storing a signal transmission program based on spectrum compression, wherein when the signal transmission program based on spectrum compression is executed by a processor, it implements the steps of the aforementioned signal transmission method based on spectrum compression.

[0027] The beneficial effects of the technical solutions provided in this application include:

[0028] By applying partial response filtering to the original transmitted signal according to the principle of maximizing the main lobe energy within the target bandwidth, spectral shaping is achieved, concentrating the main energy of the signal in the main lobe. Then, low-pass filtering removes the side lobes, reducing the effective bandwidth and thus achieving signal compression. This also lowers the sampling rate required for the actual transmitted signal. Therefore, this application enables low-baud-rate and low-bandwidth transmission of signals under ultra-high baud-rate conditions, reducing system costs and improving system performance, allowing low-order modulated signals to be transmitted at ultra-high speeds in optical communication systems. Attached Figure Description

[0029] Figure 1 This is a flowchart illustrating an embodiment of the signal transmission method based on spectrum compression according to this application;

[0030] Figure 2 This is a schematic diagram of signal processing and transmission involved in the embodiments of this application;

[0031] Figure 3 This is a schematic diagram of the hardware structure of a signal transmission device based on spectrum compression involved in the embodiments of this application. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0034] In a first aspect, embodiments of this application provide a signal transmission method based on spectrum compression.

[0035] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the signal transmission method based on spectrum compression according to this application. Figure 1 As shown, the signal transmission method based on spectrum compression includes:

[0036] Step S10: In accordance with the principle of maximizing the main lobe energy within the preset target bandwidth, the target transmitted signal is subjected to partial response filtering and low-pass filtering based on partial response filter and low-pass filter to achieve spectrum shaping of the signal and output the target compressed signal.

[0037] Exemplary and understandable, according to Nyquist's second law, the bandwidth utilization can reach its theoretical maximum by controlling the introduction of inter-symbol interference (ISI) at certain symbol sampling times while eliminating ISI at other sampling times. Partial response filtering (PSB) is a baseband digital signal processing technique that allows for some ISI at specific symbol sampling times while maintaining ISI-free sampling at other times. Through carefully designed filter coefficients, bandwidth utilization can be increased to its theoretical maximum.

[0038] Therefore, see Figure 2 As shown, in this embodiment, the original target transmission signal transmitted by the transmitting end is partially filtered according to the principle of maximizing the main lobe energy within the target bandwidth range, thereby achieving the purpose of spectrum shaping of the signal so that the main energy of the output partial response signal is concentrated in the main lobe part; then, the partial response signal is digitally filtered by a low-pass filter to filter out the side lobe signals, thereby reducing the effective bandwidth of the signal and achieving the purpose of signal compression; since the spectrum-compressed signal (i.e., the target compressed signal) is the signal with symbol interference, the signal quality after optical signal transmission can be effectively improved.

[0039] It should be noted that the methods and principles of partial response filtering and low-pass filtering for signals are common knowledge in this field, and will not be elaborated here for the sake of brevity; in addition, the specific value of the target bandwidth range can be determined according to the actual needs of the scenario, and is not limited here.

[0040] In this embodiment, the original transmitter system structure is not altered. The signal to be transmitted is determined directly based on the original transmitter system structure (transparent to the modulation scheme and without code type restrictions; for example, the transmitted signal can be a direct detection signal OOK or PAM4, or a coherent signal QPSK or 16QAM, etc.) to obtain the target transmitted signal. Then, the target transmitted signal is partially filtered and the target compressed signal is output. It should be noted that if the transmitted signal is a dual-polarization multiplexed signal, the processing methods for each polarization direction can be performed using the methods and principles provided in this embodiment.

[0041] Step S20: The target compressed signal is downsampled, and the downsampled signal is photoelectrically modulated and transmitted to the receiving end.

[0042] Exemplary, see Figure 2As shown, this embodiment performs downsampling calculations on the target compressed signal output by filtering to reduce the sampling rate requirement at the transmitting end, thus obtaining the modulated signal after spectral compression filtering. Then, the signal can be photoelectrically modulated using conventional modulation methods to obtain a modulated optical signal with compressed bandwidth, which is then sent into an optical fiber for transmission. It should be noted that the principles of photoelectric modulation and optical signal transmission are consistent with the original and are common knowledge in the field; therefore, for the sake of brevity, they will not be elaborated upon here.

[0043] Therefore, this embodiment, by employing a signal encoding method based on spectral compression, achieves low-baud-rate and low-bandwidth transmission of the signal under the condition of original high-speed, high-baud-rate transmission signals through controlled spectral compression. While maintaining the original system structure, it ensures low cost and simultaneously realizes a high-speed and noise-resistant transmission system. This embodiment is applicable to optical transmission systems with bandwidth limitations, and it optimizes the overall performance of optical transmission systems under high-speed, low-bandwidth conditions, improving their compatibility and stability.

[0044] Furthermore, in one embodiment, after the step of transmitting the downsampled signal to the receiving end via photoelectric modulation, the method further includes:

[0045] The control receiver performs reception and equalization processing on the signal transmitted from the transmitter according to the original photoelectric reception and equalization process.

[0046] As an example, in this embodiment, since the optical signal after spectral compression is not fundamentally different in structure from the original optical signal, see [reference needed]. Figure 2 As shown, at the receiving end, the original receiving method can be used for photoelectric detection and reception; after channel equalization of the received signal using the original channel equalization method, a signal with inter-symbol interference is obtained; finally, the maximum likelihood estimation method (MLSE) can be used to equalize this signal to recover the original transmitted signal (which is the initial symbol), thereby completing signal reception. It should be noted that the principles of optical signal detection and reception, channel equalization, and MLSE equalization are consistent with the original methods and are common knowledge in this field. For the sake of simplicity, they will not be elaborated here.

[0047] Furthermore, in one embodiment, the partial response signal obtained after partial response filtering is used as the reference signal for channel equalization at the receiver.

[0048] As an example, in this embodiment, when the receiver performs channel equalization, it uses the signal output after partial response filtering as its reference signal, so that the received signal is restored to the closest to the signal after partial response output, thereby effectively reducing the difficulty of recovering signals with symbol interference.

[0049] Further, in one embodiment, the step of performing partial response filtering and low-pass filtering on the target transmitted signal based on a partial response filter and a low-pass filter, according to the principle of maximizing the main lobe energy within a preset target bandwidth, to achieve spectral shaping of the signal and output of the target compressed signal, includes:

[0050] The target transmitted signal is processed by partial response filtering to obtain an initial partial response signal.

[0051] The initial partial response signal is low-pass filtered to obtain the compressed signal.

[0052] The partial response filter coefficients corresponding to the partial response filter are updated to control the partial response filter to perform partial response filtering on the compressed signal based on the new partial response filter coefficients, so as to obtain a new partial response signal.

[0053] Based on the new partial response signal, the step of performing low-pass filtering on the initial partial response signal based on the low-pass filter is executed until the main lobe energy within the target bandwidth is maximized, so as to realize the spectrum shaping of the signal and output the target compressed signal.

[0054] As an example, in this embodiment, it is assumed that the target transmission signal to be transmitted after preprocessing is X. N =(x1,x2,x3,……,x N-1 ,x N And its energy is S, and its sampling rate is F. s Then control X N Partial response filtering is performed using a partial response filter, with the initial M-order filtering coefficients of the partial response filter set to R. M =(r0,r1,…,r M-1 ,r M If ), then its output signal is Y. N-M =(y1,y2,y3,……,x N-M-1 ,x N-M ,)and:

[0055]

[0056] Where i is 1, 2, ..., NM.

[0057] At this point, the bandwidth of the low-pass filter is set to B, and it is a fixed-length FIR filter with coefficients C. L = (c1, c2, ..., c L The signal after partial response is further filtered by a low-pass filter, and its output sequence is Z. N-M-L+1 = (z1, z2, ..., zN-M-L+1 )and:

[0058]

[0059] Where j = 1, 2, ..., NM-L+1; assume the initial energy is S. B :

[0060]

[0061] In this embodiment, to find the optimal partial response filter coefficients, the in-band signal, i.e., the main lobe energy, will be maximized through the following iterative process:

[0062] First, it can be understood that the initial partial response filter coefficients are (r0, r1, ..., r...). M-1 ,r M And the initial band energy is S B At this point, the partial response filter coefficients will be updated according to the following formula to obtain new partial response filter coefficients (r'0, r'1, ..., r'). M ): (r'0, r'1, ..., r' M ) = (r0, r1, ..., r M )+μ(σ1,σ2,…,σ M ), where σ1, σ2,…,σ M It is a random number in (-1, 0, 1), and μ is the convergence step size for iteration; then, through the new (r'0, r'1, ..., r') M If partial response filtering is performed, the signal energy obtained after low-pass filtering is S'. B When S' B >S B When the time comes, the original initial energy value is replaced, that is, S' B As the new initial energy value, and with the new partial response coefficient replacing the original value, the iteration continues from this new starting point; when S' B ≤S B At that time, the original initial energy value S is maintained. B The initial partial response coefficients remain unchanged, and a new iteration continues. After multiple iterations, if the signal energy S' obtained after low-pass filtering is satisfied... B When the main lobe energy reaches its maximum value (≥ΔS), the iteration stops. The corresponding partial response filter coefficients are then determined, which are the required partial response filter coefficients, and the target compressed signal is output. Here, ΔS is the minimum required main lobe energy.

[0063] Understandably, after the above encoding is completed, the signal spectrum is effectively compressed and the effective bandwidth is B. Therefore, reducing its sampling rate to 2B will not affect the signal. Then, the processed electrical signal is photoelectrically modulated before optical transmission, so that photoelectric detection and reception can be performed at the receiving end.

[0064] In summary, this embodiment effectively reduces the signal bandwidth by using only simple signal processing while maintaining the original system's transceiver signal processing structure. It also reduces the sampling rate required for actual signal transmission, thereby lowering system costs and improving system performance. Furthermore, it enables low-baud-rate transmission of signals under ultra-high baud-rate conditions, allowing signals from low-order modulation schemes to be transmitted at ultra-high speeds in optical communication systems, greatly enhancing its practicality.

[0065] Secondly, embodiments of this application also provide a signal transmission device based on spectrum compression.

[0066] In one embodiment, the signal transmission device based on spectrum compression includes:

[0067] The first processing module is used to perform partial response filtering and low-pass filtering on the target transmitted signal according to the principle of maximizing the main lobe energy within the preset target bandwidth range, based on partial response filters and low-pass filters, so as to realize the spectrum shaping of the signal and output the target compressed signal.

[0068] The second processing module is used to downsample the target compressed signal and then photoelectrically modulate the downsampled signal before transmitting it to the receiving end.

[0069] Furthermore, in one embodiment, the first processing module is specifically used for:

[0070] The target transmitted signal is processed by partial response filtering to obtain an initial partial response signal.

[0071] The initial partial response signal is low-pass filtered to obtain the compressed signal.

[0072] The partial response filter coefficients corresponding to the partial response filter are updated to control the partial response filter to perform partial response filtering on the compressed signal based on the new partial response filter coefficients, so as to obtain a new partial response signal.

[0073] Based on the new partial response signal, the step of performing low-pass filtering on the initial partial response signal based on the low-pass filter is executed until the main lobe energy within the target bandwidth is maximized, so as to realize the spectrum shaping of the signal and output the target compressed signal.

[0074] Furthermore, in one embodiment, the partial response signal obtained after partial response filtering is used as the reference signal for channel equalization at the receiver.

[0075] Furthermore, in one embodiment, the device further includes a third processing module, which is used for:

[0076] The control receiver performs reception and equalization processing on the signal transmitted from the transmitter according to the original photoelectric reception and equalization process.

[0077] The functions of each module in the above-mentioned spectrum compression-based signal transmission device correspond to the steps in the above-mentioned spectrum compression-based signal transmission method embodiment, and their functions and implementation processes will not be described in detail here.

[0078] Thirdly, embodiments of this application provide a signal transmission device based on spectrum compression. The signal transmission device based on spectrum compression can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0079] Reference Figure 3 , Figure 3 This is a schematic diagram of the hardware structure of a spectrum compression-based signal transmission device involved in an embodiment of this application. In this embodiment, the spectrum compression-based signal transmission device may include a processor, a memory, a communication interface, and a communication bus.

[0080] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0081] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting devices within spectrum compression-based signal transmission equipment, as well as interfaces used for interconnecting spectrum compression-based signal transmission equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0082] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0083] The processor can be a general-purpose processor, which can call a spectrum-compression-based signal transmission program stored in memory and execute the spectrum-compression-based signal transmission method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the spectrum-compression-based signal transmission program is called can be referred to in the various embodiments of the spectrum-compression-based signal transmission method of this application, and will not be repeated here.

[0084] Those skilled in the art will understand that Figure 3 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0085] Fourthly, embodiments of this application also provide a computer-readable storage medium.

[0086] The present application has a readable storage medium storing a signal transmission program based on spectrum compression, wherein when the signal transmission program based on spectrum compression is executed by a processor, it implements the steps of the signal transmission method based on spectrum compression as described above.

[0087] The method implemented when the spectrum compression-based signal transmission program is executed can be referred to in various embodiments of the spectrum compression-based signal transmission method of this application, and will not be repeated here.

[0088] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0089] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0090] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0091] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0092] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0093] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0094] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A signal transmission method based on spectrum compression, characterized in that, Includes the following steps: Based on the principle of maximizing the main lobe energy within the preset target bandwidth, the target transmitted signal is processed by partial response filtering and low-pass filtering based on partial response filtering and low-pass filtering to achieve spectrum shaping of the signal and output the target compressed signal. The target compressed signal is downsampled, and the downsampled signal is then photoelectrically modulated and transmitted to the receiving end.

2. The signal transmission method based on spectrum compression as described in claim 1, characterized in that, The step of performing partial response filtering and low-pass filtering on the target transmitted signal based on a partial response filter and a low-pass filter, according to the principle of maximizing the main lobe energy within a preset target bandwidth, to achieve spectral shaping of the signal and output a target compressed signal, includes: The target transmitted signal is processed by partial response filtering to obtain an initial partial response signal. The initial partial response signal is low-pass filtered to obtain the compressed signal. The partial response filter coefficients corresponding to the partial response filter are updated to control the partial response filter to perform partial response filtering on the compressed signal based on the new partial response filter coefficients, so as to obtain a new partial response signal. Based on the new partial response signal, the step of performing low-pass filtering on the initial partial response signal based on the low-pass filter is executed until the main lobe energy within the target bandwidth is maximized, so as to realize the spectrum shaping of the signal and output the target compressed signal.

3. The signal transmission method based on spectrum compression as described in claim 1, characterized in that: The partial response signal obtained after partial response filtering is used as the reference signal for channel equalization at the receiver.

4. The signal transmission method based on spectrum compression as described in claim 1, characterized in that, After the step of transmitting the downsampled signal to the receiving end via photoelectric modulation, the method further includes: The control receiver performs reception and equalization processing on the signal transmitted from the transmitter according to the original photoelectric reception and equalization process.

5. A signal transmission device based on spectrum compression, characterized in that, include: The first processing module is used to perform partial response filtering and low-pass filtering on the target transmitted signal according to the principle of maximizing the main lobe energy within the preset target bandwidth range, based on partial response filters and low-pass filters, so as to realize the spectrum shaping of the signal and output the target compressed signal. The second processing module is used to downsample the target compressed signal and then photoelectrically modulate the downsampled signal before transmitting it to the receiving end.

6. The signal transmission device based on spectrum compression as described in claim 5, characterized in that, The first processing module is specifically used for: The target transmitted signal is processed by partial response filtering to obtain an initial partial response signal. The initial partial response signal is low-pass filtered to obtain the compressed signal. The partial response filter coefficients corresponding to the partial response filter are updated to control the partial response filter to perform partial response filtering on the compressed signal based on the new partial response filter coefficients, so as to obtain a new partial response signal. Based on the new partial response signal, the step of performing low-pass filtering on the initial partial response signal based on the low-pass filter is executed until the main lobe energy within the target bandwidth is maximized, so as to realize the spectrum shaping of the signal and output the target compressed signal.

7. The signal transmission device based on spectrum compression as described in claim 5, characterized in that: The partial response signal obtained after partial response filtering is used as the reference signal for channel equalization at the receiver.

8. The signal transmission device based on spectrum compression as described in claim 5, characterized in that, The device further includes a third processing module, which is used for: The control receiver performs reception and equalization processing on the signal transmitted from the transmitter according to the original photoelectric reception and equalization process.

9. A signal transmission device based on spectrum compression, characterized in that, The spectrum compression-based signal transmission device includes a processor, a memory, and a spectrum compression-based signal transmission program stored in the memory and executable by the processor, wherein when the spectrum compression-based signal transmission program is executed by the processor, it implements the steps of the spectrum compression-based signal transmission method as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a signal transmission program based on spectrum compression, wherein when the signal transmission program based on spectrum compression is executed by a processor, it implements the steps of the signal transmission method based on spectrum compression as described in any one of claims 1 to 4.

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