Optical signal transmission method and system based on nonlinear dynamic disturbance and photon frequency selection

Abstract

The application discloses an optical signal transmission method and system based on nonlinear dynamic disturbance and photon frequency selection, relates to the technical field of optical fiber communication, and comprises the following steps: acquiring an original bit stream, performing four-dimensional nonlinear dynamic scrambling mapping processing on the original bit stream to obtain a scrambled signal, performing incremental sum modulation processing on the scrambled signal to obtain an incremental sum modulation signal, performing quantization shaping processing on the in-band noise component of the incremental sum modulation signal to obtain quantization shaping noise, superimposing the quantization shaping noise and the incremental sum modulation signal to obtain a superimposed signal, and transmitting and sending the superimposed signal, so that the transmission performance under multi-carrier high-order modulation and the signal transmission concealment are enhanced.

Description

Technical Field

[0001] This invention relates to the field of optical fiber communication technology, specifically to an optical signal transmission method and system based on nonlinear dynamic perturbation and photon frequency selection. Background Technology

[0002] In recent years, with the rapid development of next-generation information and communication technologies, the scale of global communication data traffic has been increasing daily, and optical communication systems are facing higher performance requirements in terms of transmission capacity and spectrum resource utilization efficiency. Coherent optical transmission technology, as an important technical means to support backbone optical networks and data center interconnection, faces challenges such as continuously increasing transmission capacity, system complexity, and energy consumption while improving system transmission rates. Traditional high-capacity optical transmission systems typically use multiple independent lasers to generate optical carriers of different wavelengths to achieve dense wavelength division multiplexing (DWDM), thereby enabling multi-channel parallel transmission. However, with the continuous improvement of system access rates and spectrum utilization efficiency, the information concealment problem in high-speed data transmission of optical communication systems is becoming increasingly prominent. To ensure the privacy of optical transmission, Delta-Sigma (DSM) technology utilizes oversampling and noise shaping mechanisms to achieve in-band quantization noise suppression. Under the constraint of a limited number of quantization bits, this technology can effectively expand the number of equivalent constellation points, improve signal representation accuracy, and thus reduce the difficulty and power consumption of hardware implementation. Existing technologies typically employ data security protocols and digital certificates at the network layer for protection, while introducing processing techniques such as quantum key distribution (QKD) and nonlinear optical perturbation at the physical layer. One approach uses a dual Mach-Zehnder modulator (MZM) for pulse compression, combined with parameter selection and privacy amplification processes, to enhance anti-interception capabilities and increase the matching parameter rate. Another approach uses multilayer indexed modulation (ML-IM) for parameter embedding, employing a four-dimensional nonlinear system for multi-level scrambling at the physical layer and utilizing silent lines and subcarrier indexed modulation (SIM) to carry additional information, thereby improving the concealment and flexibility of parameter mapping while achieving lower bit error rates and better signal performance in fiber optic transmission.

[0003] Existing methods in high-capacity multi-carrier optical communication systems suffer from the problem of not being able to simultaneously achieve signal scrambling and concealment with efficient multi-carrier transmission, thus affecting signal transmission efficiency. Summary of the Invention

[0004] To address the shortcomings mentioned in the background section, the present invention aims to provide an optical signal transmission method and system based on nonlinear dynamic perturbation and photon frequency selection.

[0005] Firstly, the objective of this invention can be achieved through the following technical solution: an optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection, the method comprising the following steps: The original bitstream is obtained, and a four-dimensional nonlinear dynamic scrambling mapping process is performed on the original bitstream to obtain a scrambled signal. The scrambled signal is then subjected to incremental sum modulation processing to obtain an incremental sum modulated signal. The in-band noise component of the incremental sum-modulated signal is quantized and shaped to obtain quantized and shaped noise. The quantized and shaped noise is then superimposed on the incremental sum-modulated signal to obtain a superimposed signal, which is then transmitted.

[0006] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: the process of performing four-dimensional nonlinear dynamic scrambling mapping on the original bitstream, comprising: Multiple nonlinear sequences are generated through four-dimensional nonlinear dynamic scrambling mapping. Based on these multiple nonlinear sequences, the original bitstream is subjected to bit-level scrambling perturbation and dual-domain scrambling perturbation of frequency and symbol, resulting in bit-scrambled signals and dual-domain scrambling signals, which serve as the final output scrambled signals.

[0007] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: the bit-level scrambling perturbation process, comprising: By binarizing the first preset number of bits of the fractional part of the nonlinear sequence, a key sequence is obtained. The key sequence is then XORed to generate an XORed sequence. The bits of the original bit stream are then scrambled based on the XORed sequence to obtain a bit scrambling signal, thus achieving bit-level scrambling perturbation.

[0008] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: the process of dual-domain scrambling perturbation of the frequency and symbol, comprising: By extracting and amplifying the first preset number of digits of the fractional part of the nonlinear sequence, an amplified sequence is obtained. The amplified sequence is then sorted in ascending order, and a perturbation weight sequence is generated based on the ascending order result. Based on the perturbation weight sequence, the modulation subcarrier of the original bit stream is subjected to dual-domain scrambling perturbation of frequency and symbol to obtain a dual-domain scrambling signal.

[0009] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: the process of performing incremental summation modulation on the scrambled signal, comprising: The scrambled signal is based on an oversampling mechanism to disperse the quantization noise over a wide frequency range. The noise is shaped based on a preset feedback structure to move the quantization noise outside the signal bandwidth. The shaped signal is then filtered by low-pass filtering to extract the baseband signal components, and finally the incremental sum modulation signal is obtained.

[0010] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: the process of quantizing and shaping the in-band noise components of the incremental sum-modulated signal, comprising: The incremental sum modulated signal is low-pass filtered, and the low-pass filtered incremental sum modulated signal is differentially processed with the original bit stream signal to obtain the in-band noise component. The in-band noise components are quantized and shaped to obtain quantized shaped noise.

[0011] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: a processing procedure before the superimposed signal is sent to the receiving end, which further includes: The superimposed signal is converted from digital to analog to obtain an analog signal. The analog signal is then linearly amplified to drive a Mach-Zehnder modulator to obtain an amplified analog signal. An optical carrier is generated using OFC photonic frequency selection technology, and an amplified analog signal is modulated onto the optical carrier as the input signal for the final receiver.

[0012] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: a processing procedure where the input signal of the receiving end is input to the receiving end, comprising: The input signal at the receiving end is separated step by step by serial interference cancellation to recover the incremental sum modulation signal and the corresponding noise component. The noise component is then eliminated by differential processing of the two signals, and the incremental sum modulation signal is reconstructed. The reconstructed incremental sum modulation signal is then scrambled and restored to obtain the original bit stream.

[0013] Secondly, in order to achieve the above objectives, the present invention discloses an optical signal transmission system based on nonlinear dynamic perturbation and photon frequency selection, comprising: The signal acquisition module is used to acquire the original bit stream, perform four-dimensional nonlinear dynamic scrambling mapping processing on the original bit stream to obtain a scrambled signal, and perform incremental sum modulation processing on the scrambled signal to obtain an incremental sum modulation signal. The signal transmission module is used to quantize and shape the in-band noise component of the incremental sum-modulated signal to obtain quantized and shaped noise, and then superimpose the quantized and shaped noise with the incremental sum-modulated signal to obtain a superimposed signal, which is then transmitted.

[0014] The beneficial effects of this invention are: This invention utilizes DSM combined with photonic frequency selective physical layer information masking technology to effectively suppress in-band noise. While noise cancellation is limited under low power conditions, as power increases, the IBN is accurately recovered through SIC noise cancellation technology and power domain collaborative processing is performed, significantly reducing the bit error rate and greatly improving the signal-to-noise ratio. Simultaneously, it enhances transmission performance under multi-carrier high-order modulation and signal transmission concealment. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Figure 1 This is a schematic diagram of the method flow of the present invention; Figure 2 This is a schematic diagram of the overall processing flow of the present invention; Figure 3 This is a schematic diagram of the DSM principle of the present invention; Figure 4 This is a schematic diagram of noise cancellation according to the present invention; Figure 5 This is a schematic diagram of signal reception and recovery according to the present invention; Figure 6 This is a phase diagram of the four-dimensional nonlinear dynamic perturbation model of the present invention; Figure 7 This is a schematic diagram of the experimental apparatus of the present invention; Figure 8 This is a schematic diagram of the DSM spectrum of the present invention; Figure 9 This is a schematic diagram of the system structure of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example 1: like Figure 1 As shown, an optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection includes the following steps: S101: Obtain the original bit stream, perform four-dimensional nonlinear dynamic scrambling mapping processing on the original bit stream to obtain the scrambling signal, and perform incremental sum modulation processing on the scrambling signal to obtain the incremental sum modulation signal. Specifically, the principle of this invention is as follows: Figure 2 As shown, it mainly covers OFC photonic frequency selection technology, Rössler four-dimensional nonlinear dynamic scrambling mapping processing technology, DSM oversampling and noise shaping technology used at the transmitting end, and serial interference cancellation (SIC) technology used at the receiving end.

[0018] The specific processing procedure of OFC photonic frequency selection technology in this embodiment is as follows: As a multi-carrier light source, OFC can generate equally spaced discrete spectral lines in the frequency domain. Its spectral structure exhibits a comb-like discrete distribution characteristic, achieving temporal and frequency domain unification for multi-frequency light sources due to its unique properties. Based on this, combined with WSS technology, these carriers can be flexibly selected, suppressed, and reconstructed in the optical domain, thereby achieving fine-grained control of multi-carrier spectral resources. This photonic frequency selection operation in the optical spectrum dimension can complete carrier-level frequency selection without electrical domain demultiplexing, providing programmable frequency domain support for multi-carrier parallel transmission and physical layer functions.

[0019] Ideally, the optical frequency of the nth comb tooth in an OFC can be expressed as a linear combination of a fixed offset frequency and a repetition frequency. The repetition frequency determines the frequency spacing between adjacent comb teeth, while the offset frequency is used to translate the entire comb-like spectral structure. Since all carriers originate from the same coherent source, long-term coherence between multiple carriers is ensured. Compared to traditional laser arrays, OFC provides a strictly equidistant carrier set, demonstrating significant advantages. The formula is shown below: (1) in, The repetition frequency of the frequency comb determines the frequency interval between adjacent comb teeth; It is the carrier envelope offset frequency, used for overall translation of the spectrum structure.

[0020] The above formula describes how OFC constitutes a set of strictly equally spaced carriers in the frequency domain. In the time domain, OFC corresponds to a periodically repeating sequence of ultrashort optical pulses, and its electric field mathematical expression encodes the amplitude and initial phase of the comb teeth. Because its frequency components originate from the same coherent light source, the phase noise and frequency drift between each comb tooth are highly correlated, ensuring long-term coherence among multiple carriers. The electric field expression is as follows: (2) In the formula, and They represent the first The amplitude and initial phase of the comb teeth. Since all frequency components originate from the same coherent light source, the phase noise and frequency drift between each comb tooth are highly correlated, thus ensuring long-term coherence between multiple carriers.

[0021] In optical communication systems, if each comb tooth is considered an independent optical carrier, then an OFC can be equivalent to a multi-carrier light source, and its output optical field can be written as: (3) In the formula, Indicates the first The complex envelope of the signal carried by the comb teeth corresponds to the modulation information loaded on the carrier. For the first The center optical frequency of the comb teeth indicates that the OFC output optical field is Coherent superposition of independent modulated optical carrier electric fields.

[0022] From a physical implementation perspective, OFCs can be generated through various mechanisms, such as mode-locked lasers, electro-optic modulation, and Kerr frequency combs based on nonlinear microcavity effects. In particular, Kerr frequency combs utilize the third-order nonlinearity of materials to generate broadband, high-density frequency comb structures at the chip-scale.

[0023] In this patent, the core value of OFC lies in its ability to simultaneously generate a large number of equally spaced carriers under a single light source, naturally supporting DWDM and multi-carrier parallel transmission. These carriers exhibit equally spaced comb frequencies, which can be precisely matched with the channel grid of the communication system, thereby significantly reducing inter-carrier interference and simplifying frequency management. Simultaneously, the high coherence between carriers provides favorable conditions for joint modulation, joint equalization, and cross-carrier signal processing, making OFC an ideal light source for the experiments in this patent. Furthermore, the photonic frequency selection process is completed independently in the optical domain, and its frequency selection and carrier reconstruction have strong resistance to external eavesdropping, laying the foundation for a physical layer security mechanism based on spectrum manipulation.

[0024] The process of performing four-dimensional nonlinear dynamic scrambling mapping on the original bitstream includes: Multiple nonlinear sequences are generated through four-dimensional nonlinear dynamic scrambling mapping. Based on these multiple nonlinear sequences, the original bitstream is subjected to bit-level scrambling perturbation and dual-domain scrambling perturbation of frequency and symbol, resulting in bit-scrambled signals and dual-domain scrambling signals, which serve as the final output scrambled signals.

[0025] In this invention, the Rössler four-dimensional nonlinear dynamic perturbation model is applied to scramble the system to ensure secure transmission performance. The Rössler four-dimensional nonlinear dynamic perturbation system is defined by the following expression: (4) In this system, the state variables X, Y, Z, W and the control parameters a, b, c, d constitute a nonlinear system. When the parameters are set to a=0.2, b=0.2, c=5.7, d=0.1, the system is a nonlinear system.

[0026] The initial values ​​of the nonlinear model are set as (X0, Y0, Z0, W0) = (1.008258459376800, 0.785274257517532, 0.013284611879215, 0.028970671590875). The Runge-Kutta method can be used to solve the partial differential equations to obtain a four-dimensional nonlinear sequence, as shown below. Figure 6The phase diagram is shown. The four sequences in the nonlinear model take values ​​in the ranges of (-10, 10), (-10, 10), (-10, 7), and (-3, 10). This nonlinear system is highly sensitive to initial conditions; any small perturbation will cause a significant change in the system's evolution trajectory. Therefore, if the receiver does not obtain the correct key parameters, it is difficult to recover the scrambled signal. This strong initial condition sensitivity provides good key space characteristics and security guarantees, making it suitable for communication scenarios with high security requirements.

[0027] The bit-level scrambling perturbation process includes: By binarizing the first preset number of bits of the fractional part of the nonlinear sequence, a key sequence is obtained. The key sequence is then XORed to generate an XORed sequence. The bits of the original bit stream are then scrambled based on the XORed sequence to obtain a bit scrambling signal, thus achieving bit-level scrambling perturbation.

[0028] Specifically, this invention utilizes the Rössler four-dimensional nonlinear dynamic perturbation system to perturb the bitstream, subcarriers, and symbols, achieving multi-level scrambling at the physical layer. By driving the nonlinear system with preset initial parameters, three sets of nonlinear sequences X, Y, Z, and W with strong randomness can be generated. Among them, the nonlinear sequences X and Z are used for bit-level scrambling perturbation, and the specific process is as follows: (5) In equation (5), mod(-) is the remainder function, and floor(-) is the floor function. The first 8 bits of the fractional part of the nonlinear sequence are binarized to generate a key sequence. The randomly generated original data is scrambled by XORing the X and Z sequences.

[0029] The process of dual-domain scrambling perturbation of frequency and symbol includes: By extracting and amplifying the first preset number of digits of the fractional part of the nonlinear sequence, an amplified sequence is obtained. The amplified sequence is then sorted in ascending order, and a perturbation weight sequence is generated based on the ascending order result. Based on the perturbation weight sequence, the modulation subcarrier of the original bit stream is subjected to dual-domain scrambling perturbation of frequency and symbol to obtain a dual-domain scrambling signal.

[0030] In this process, nonlinear sequences Y and W are selected to scramble and perturb the frequency and symbol positions of the modulation subcarrier, and the operation rules are as follows: (6) In the formula, the mod(•) operation is used to extract the fractional part of the nonlinear sequence to enhance its pseudo-random characteristics. By amplifying the result to the tenth decimal place, the fractional information can be amplified, allowing the numerical characteristics of the chaotic sequence at the tenth decimal place to be preserved, thereby improving the resolution and security of the scrambling process. The sort(•) function is used to sort the nonlinear sequence in ascending order and output the sorted vector, which serves as the normalized reference basis for constructing the perturbation matrix. The superscript T indicates transpose, used in operation with the original nonlinear matrix to generate the corresponding perturbation weights. The resulting Y1 and W1 sequences correspond to the scrambling sequences in the frequency domain and symbol domain, respectively, and are suitable for rearranging the column and row vectors of the subcarrier modulation matrix. Through joint perturbation of the frequency and symbol positions in both domains, signal scrambling at the physical layer is achieved.

[0031] The process of performing incremental summation modulation on the scrambled signal includes: The scrambled signal is based on an oversampling mechanism to disperse the quantization noise over a wide frequency range. The noise is shaped based on a preset feedback structure to move the quantization noise outside the signal bandwidth. The shaped signal is then filtered by low-pass filtering to extract the baseband signal components, and finally the incremental sum modulation signal is obtained.

[0032] In a high-order modulation transmission system based on DSM, the input bitstream is first converted into high-order QAM symbols according to mapping rules. Multi-subcarrier signals are then constructed using Orthogonal Frequency Division Multiplexing (OFDM), forming the corresponding time-domain OFDM waveform. This time-domain signal is subsequently input into the DSM processing module, whose structure is as follows: Figure 3 As shown, the main function of the DSM (Distributed Signal-to-Signal Module) is to mitigate quantization noise caused by limited quantization accuracy. Through oversampling, quantization noise is dispersed over a wider spectral range, effectively reducing noise power per unit bandwidth. Therefore, the DSM uses a feedback structure to shape noise, shifting most of the quantization noise outside the signal bandwidth, thus creating a lower noise level within the effective signal band. Finally, low-pass filtering is used to extract the baseband signal components, resulting in an effective transmission signal with a high signal-to-noise ratio.

[0033] S102: Quantize and shape the in-band noise component of the incremental sum modulation signal to obtain quantized and shaped noise. Superimpose the quantized and shaped noise with the incremental sum modulation signal to obtain a superimposed signal. Transmit the superimposed signal.

[0034] The process of quantizing and shaping the in-band noise components of the incremental sum-modulated signal includes: The incremental sum modulated signal is low-pass filtered, and the low-pass filtered incremental sum modulated signal is differentially processed with the original bit stream signal to obtain the in-band noise component. The in-band noise components are quantized and shaped to obtain quantized shaped noise.

[0035] Specifically, in this embodiment, to further reduce the impact of residual quantization noise on system performance, this patent introduces an improved noise cancellation scheme, such as... Figure 4 As shown, although most of the quantization noise has been shifted to the out-of-band frequency band, a small amount of noise remains in the DSM output signal within the effective bandwidth. To address this issue, this patent further separates and characterizes the noise at the transmitting end. Specifically, the method involves low-pass filtering the DSM output signal and differential processing with the original input signal. The result effectively suppresses the in-band quantization noise generated by the DSM, laying a solid foundation for subsequent noise suppression and system performance improvement.

[0036] The processing steps before the superimposed signal is sent to the receiving end also include: The superimposed signal is converted from digital to analog to obtain an analog signal. The analog signal is then linearly amplified to drive a Mach-Zehnder modulator to obtain an amplified analog signal. An optical carrier is generated using OFC photonic frequency selection technology, and an amplified analog signal is modulated onto the optical carrier as the input signal for the final receiver.

[0037] The process of receiving the input signal at the receiving end and processing it includes: The input signal at the receiving end is separated step by step by serial interference cancellation to recover the incremental sum modulation signal and the corresponding noise component. The noise component is then eliminated by differential processing of the two signals, and the incremental sum modulation signal is reconstructed. The reconstructed incremental sum modulation signal is then scrambled and restored to obtain the original bit stream.

[0038] Specifically, when processing the received power domain composite signal at the receiving end, this invention proposes a method using SiC, such as... Figure 5 As shown, the method includes the following steps: First, after receiving the signal, channel equalization is preferentially performed on the signal component with the dominant power. Utilizing the signal-to-noise ratio advantage of the high-power information stream, the high-power signal carrying effective information is extracted from the signal stream. Subsequently, the recovered main signal is remodulated, and a channel estimation process is introduced to assist in identifying the low-power signal component superimposed on it. By performing channel equalization and demodulation on this low-power signal component, the corresponding quantization noise signal can be further recovered. At this point, differential processing is performed on these two signals to obtain effective data information that cancels the influence of in-band quantization noise. This method effectively reduces the limitation of quantization noise on system performance and improves the overall transmission performance based on DSM modulation. After completing the SIC step, scrambling and recovery processing is performed on the DSM signal. By using preset initial values ​​to restore the nonlinear system, the original signal transmitted by the transmitter is obtained.

[0039] Specifically, the present invention will be further illustrated below through embodiments: To verify the performance of the proposed system, the present invention, as shown in... Figure 7 Experimental verification was conducted in the (IM / DD) system shown. The experiment used MATLAB to generate pseudo-random binary sequences as raw data and mapped the data to a high-order 16384QAM format. The effective subcarrier number was set to 450, the IFFT point number to 1024, and each OFDM symbol was accompanied by a CP of 1 / 16th the length of the symbol. The power-divided multiplexed signal was loaded onto an arbitrary waveform generator (AWG, TekAWG70002A) at a rate of 20GSa / s for digital-to-analog conversion. The analog signal was linearly amplified by an electrical amplifier (EA) and then drove a Mach-Zehnder modulator (MZM). The OFC generated optical carriers at 1549.2nm, 1550nm, and 1550.8nm, and the wavelength was selected using a variable wavelength selective switch (WSS). The modulated optical signal was fed into a 25km single-mode fiber. At the receiver, a variable optical attenuator (VOA) was used to adjust the received optical power, and the signal was then connected to a photodiode (PD) for signal detection after passing through the WSS. The signal is converted from analog to digital (ADC) by a mixed-signal oscilloscope (MSO, TekMSO73304DX) with a sampling rate of 50GSa / s, and then the data is recovered by an offline DSP. The system transmission rate is calculated to be 16.02 Gb / s. The system transmission rate for offline DSP data processing to recover the original data is 20 (baud rate) × 14 (modulation order) × 500 / 1024 (proportion of effective subcarriers) / 8 (oversampling rate) × 15 / 16 (cyclic prefix overhead) = 16.02 Gb / s.

[0040] After employing OFDM and DSM technologies, the signal processed by DSM exhibits typical noise-shaping spectral characteristics. For example... Figure 8 As shown, the DSM output signal exhibits significant spectral optimization within the baseband range, manifested in the redistribution of quantization noise energy and an overall improvement in signal quality. The synergistic effect of the oversampling mechanism and the feedback loop enables the DSM to effectively migrate uniformly distributed quantization noise to the high-frequency region, while achieving significant noise suppression within the effective signal bandwidth. The shaped high-frequency noise components can be filtered out by subsequent filters, thereby reducing the performance requirements of optoelectronic devices while ensuring the transmission quality of the entire system.

[0041] Example 2: To achieve the above objective, such as Figure 9 As shown, based on Embodiment 1, this invention discloses an optical signal transmission system based on nonlinear dynamic perturbation and photon frequency selection, comprising: The signal acquisition module 11 is used to acquire the original bit stream, perform four-dimensional nonlinear dynamic scrambling mapping processing on the original bit stream to obtain a scrambled signal, and perform incremental sum modulation processing on the scrambled signal to obtain an incremental sum modulation signal. The signal transmission module 12 is used to quantize and shape the in-band noise component of the incremental sum modulation signal to obtain quantized and shaped noise, superimpose the quantized and shaped noise with the incremental sum modulation signal to obtain a superimposed signal, and transmit the superimposed signal.

[0042] Based on the same inventive concept, this invention also provides a computer device, comprising: one or more processors, and a memory for storing one or more computer programs; the programs include program instructions, and the processor executes the program instructions stored in the memory. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, used to implement one or more instructions, specifically for loading and executing one or more instructions stored in a computer storage medium to implement the above-described method.

[0043] It should be further explained that, based on the same inventive concept, the present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, performs the above-described method. This storage medium can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0044] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0045] The foregoing has shown and described the basic principles, main features, and advantages of this disclosure. Those skilled in the art should understand that this disclosure is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this disclosure. Various changes and modifications can be made to this disclosure without departing from its spirit and scope, and all such changes and modifications fall within the scope of this disclosure as claimed.

Claims

1. An optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection, characterized in that, The method includes the following steps: The original bitstream is obtained, and a four-dimensional nonlinear dynamic scrambling mapping process is performed on the original bitstream to obtain a scrambled signal. The scrambled signal is then subjected to incremental sum modulation processing to obtain an incremental sum modulated signal. The in-band noise component of the incremental sum-modulated signal is quantized and shaped to obtain quantized and shaped noise. The quantized and shaped noise is then superimposed on the incremental sum-modulated signal to obtain a superimposed signal, which is then transmitted.

2. The optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection according to claim 1, characterized in that, The process of performing four-dimensional nonlinear dynamic scrambling mapping on the original bitstream includes: Multiple nonlinear sequences are generated through four-dimensional nonlinear dynamic scrambling mapping. Based on these multiple nonlinear sequences, the original bitstream is subjected to bit-level scrambling perturbation and dual-domain scrambling perturbation of frequency and symbol, resulting in bit-scrambled signals and dual-domain scrambling signals, which serve as the final output scrambled signals.

3. The optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection according to claim 2, characterized in that, The bit-level scrambling perturbation process includes: By binarizing the first preset number of bits of the fractional part of the nonlinear sequence, a key sequence is obtained. The key sequence is then XORed to generate an XORed sequence. The bits of the original bit stream are then scrambled based on the XORed sequence to obtain a bit scrambling signal, thus achieving bit-level scrambling perturbation.

4. The optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection according to claim 3, characterized in that, The process of dual-domain scrambling perturbation of frequency and symbol includes: By extracting and amplifying the first preset number of digits of the fractional part of the nonlinear sequence, an amplified sequence is obtained. The amplified sequence is then sorted in ascending order, and a perturbation weight sequence is generated based on the ascending order result. Based on the perturbation weight sequence, the modulation subcarrier of the original bit stream is subjected to dual-domain scrambling perturbation of frequency and symbol to obtain a dual-domain scrambling signal.

5. The optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection according to claim 1, characterized in that, The process of performing incremental summation modulation on the scrambled signal includes: The scrambled signal is based on an oversampling mechanism to disperse the quantization noise over a wide frequency range. The noise is shaped based on a preset feedback structure to move the quantization noise outside the signal bandwidth. The shaped signal is then filtered by low-pass filtering to extract the baseband signal components, and finally the incremental sum modulation signal is obtained.

6. The optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection according to claim 1, characterized in that, The process of quantizing and shaping the in-band noise components of the incremental sum-modulated signal includes: The incremental sum modulated signal is low-pass filtered, and the low-pass filtered incremental sum modulated signal is differentially processed with the original bit stream signal to obtain the in-band noise component. The in-band noise components are quantized and shaped to obtain quantized shaped noise.

7. The optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection according to claim 1, characterized in that, The processing steps before the superimposed signal is sent to the receiving end also include: The superimposed signal is converted from digital to analog to obtain an analog signal. The analog signal is then linearly amplified to drive a Mach-Zehnder modulator to obtain an amplified analog signal. An optical carrier is generated using OFC photonic frequency selection technology, and an amplified analog signal is modulated onto the optical carrier as the input signal for the final receiver.

8. The optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection according to claim 7, characterized in that, The process of receiving the input signal at the receiving end and processing it includes: The input signal at the receiving end is separated step by step by serial interference cancellation to recover the incremental sum modulation signal and the corresponding noise component. The noise component is then eliminated by differential processing of the two signals, and the incremental sum modulation signal is reconstructed. The reconstructed incremental sum modulation signal is then scrambled and restored to obtain the original bit stream.

9. An optical signal transmission system based on nonlinear dynamic perturbation and photonic frequency selection, employing the optical signal transmission method based on nonlinear dynamic perturbation and photonic frequency selection as described in any one of claims 1 to 8, characterized in that, include: The signal acquisition module is used to acquire the original bit stream, perform four-dimensional nonlinear dynamic scrambling mapping processing on the original bit stream to obtain a scrambled signal, and perform incremental sum modulation processing on the scrambled signal to obtain an incremental sum modulation signal. The signal transmission module is used to quantize and shape the in-band noise component of the incremental sum-modulated signal to obtain quantized and shaped noise, and then superimpose the quantized and shaped noise with the incremental sum-modulated signal to obtain a superimposed signal, which is then transmitted.

10. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, The memory stores a computer program that can run on a processor. When the processor loads and executes the computer program, it employs the optical signal transmission method based on nonlinear dynamic perturbation and photon frequency selection as described in any one of claims 1 to 8.

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