12 results about "Nonlinear equalization" patented technology

The application discloses an optical fiber nonlinear equalization method, system, electronic equipment and medium, and relates to the technical field of optical fiber communication, and the method comprises the following steps: acquiring a target symbol sequence; the target symbol sequence is a symbol sequence of a received optical signal to be tested received by a receiving end; a perturbation triple product eigenvalue of each symbol in the target symbol sequence is constructed by using a perturbation theory to obtain a target eigenvalue set; the target eigenvalue set is input into an equalizer model to obtain a data category of the target symbol sequence after equalization; wherein the equalizer model is obtained by training a complex full-connection neural network by using training data. The application can obtain an equalizer model closer to a real value, and improve the performance of optical fiber signal nonlinear equalization.

The invention discloses a high-precision communication sensing integration method, belongs to the technical field of communication sensing integration, and aims to solve the problems of complicated steps and low accuracy of traditional microalgae density detection. The method comprises the following steps: preparing a microalgae sample and obtaining a density reference value, deducing a communication bit error rate mathematical expression related to multiple parameters, designing an OOK / PAM4 modulation and low-complexity nonlinear equalization algorithm, obtaining a bit error rate data set by taking a microalgae solution as a transmission medium, and constructing and verifying a microalgae density-bit error rate correlation model. Reversely deducing a density value, optimizing a test interval, repeatedly verifying the accuracy rate, outputting multiple parameters, and analyzing an association relationship; communication and sensing collaboration is achieved, the average accuracy rate of microalgae density monitoring exceeds 95%, the adaptation rate range is wide, chip integration of an equalizer is easy, no contact is achieved, environmental protection is achieved, and the system is suitable for microalgae cultivation, marine environment monitoring and other scenes.

This invention discloses an optical transmission system based on FEC (Fiber Optic Expansion Coefficient) extended perturbation fiber nonlinearity compensation technology, belonging to the field of optical fiber communication technology. Its receiver includes, in sequence, an adaptive perturbation equalization module, a soft-decision demodulation module, a deinterleaving module, an FEC decoding module, an interleaving module, and a soft-information-based symbol reconstruction module. The adaptive perturbation nonlinear equalization module has a dual-input structure, connected to the output of the soft-information-based symbol reconstruction module in addition to the received signal. The output data of the interleaving module is added to the output data of the soft-decision demodulation module and then input to the second input of the soft-decision demodulation module. The output of the FEC decoding module uses the same decoding method as the transmitter to output the received bit result. This invention can improve the receiver sensitivity and fiber nonlinearity tolerance in optical systems.

This invention proposes a field recovery-assisted iterative nonlinear channel equalization method for use in intensity modulation direct detection (IM / DD) fiber optic transmission systems. The method cascades the Gerchberg-Saxton (GS) iterative algorithm with a Volterra decision feedback equalizer (VDFE) in a digital receiver, forming a GS-VDFE equalizer. The GS iterative module proceeds first, iteratively updating the optical field by inferring the phase from the optical intensity signal, initially compensating for fiber dispersion and increasing the power at fading frequencies. The VDFE module follows, employing a simplified structure of a second-order feedforward Volterra and a first-order feedback DFE, to perform nonlinear equalization on the GS output signal to eliminate residual distortion. GS preprocessing eliminates the need for high-order nonlinear compensation in the VDFE, reducing equalizer complexity and noise sensitivity. The VDFE handles residual compensation, reducing the number of GS iterations to below 20, thus lowering processing latency. This invention effectively recovers high-speed digital signals in high-dispersion channels and mitigates spectral fading and self-reflection interference without altering the existing system structure.

Disclosed are a nonlinear equalization method and apparatus for an optical transmission system, relating to the technical field of optical communications. The method comprises: on the basis of a specifically structured frame received, training a noise-filtering network and a main network, wherein the noise-filtering network is configured for tracking and filtering out time-varying noise, and the main network is configured for static nonlinear equalization; the specifically structured frame comprises a reference frame, an interference frame, and a test frame, wherein the reference frame is configured for training the main network so as to achieve convergence of a weight coefficient of the main network, the interference frame and the reference frame are configured for training the noise-filtering network so as to achieve real-time convergence of the noise-filtering network, and the test frame is configured for carrying a random service signal and testing system performance; performing nonlinear equalization on the test frame using the trained noise-filtering network and the trained main network, and outputting an equalized test frame. The present invention solves the problems of large nonlinear equalization convergence errors and poor generalization performance caused by the introduction of time-varying noise, has good anti-noise performance and low algorithmic complexity, and meets practical application requirements.

The invention provides a construction method of a communication perception integrated model and the communication perception integrated model, and relates to the field of communication, and the method comprises the steps: employing a set modulation mode to transmit a plurality of OFDM frames between a transmitter and a receiver, and obtaining a frequency domain OFDM signal segment corresponding to each OFDM frame through the receiver, and each OFDM frame comprises a data subcarrier and a pilot frequency subcarrier; each sample instance comprises a frequency domain OFDM signal segment, and a real symbol and a real distance corresponding to the frequency domain OFDM signal segment; the communication and perception integrated model comprises a communication network architecture and a perception network architecture which share the same complex value residual time sequence convolutional network; the communication network architecture carries out equalization processing based on the frequency domain OFDM signal segment of the input communication and perception integrated model so as to output a prediction symbol, and the perception network architecture carries out distance estimation based on the frequency domain OFDM signal segment of the input communication and perception integrated model so as to output a prediction distance between the transmitter and the receiver. Therefore, joint nonlinear equalization and transmitting-receiving end distance estimation are realized.

The application discloses a large dynamic anti-interference reconfigurable receiver, and belongs to the technical field of communication, radar, electronic countermeasure and integrated radio frequency. The receiver is composed of a coupling amplification branch network, an array radio frequency amplification filter, an array scrambling mixing, an array intermediate frequency amplification filter, an array scrambling sampling, an array descrambling synthesis, a nonlinear equalization, a calibration and an interference generation module. Through the combination of interference cancellation, array synthesis, power backoff, forced scrambling and nonlinear equalization, the performance of specific devices is freed from the limitation of the performance of the receiver, the dynamic range and the anti-interference ability of the receiver are improved by multiple orders of magnitude, and the receiver is especially suitable for use in a receiving system in the technical field of communication, radar, electronic countermeasure and integrated radio frequency.

The present application relates to the technical field of optical fiber communication, and particularly relates to a GRU neural network nonlinear equalization method based on a regression coupling value, which first reshapes the data structure of a received signal sequence and matrixes it; then in the training stage, a nonlinear damage error factor based on a nonlinear Schrodinger equation is used to guide network updating, and in the application stage, a signal is input into a GRU neural network, and a signal nonlinear damage compensation result is obtained through the propagation algorithm of the network. The method of the present application uses a GRU neural network algorithm based on a regression coupling value to realize the capture and compensation of signal nonlinear damage, solves the problems of high algorithm complexity, multiple iteration numbers and limited nonlinear compensation capacity in digital back propagation and learning type equalization algorithms, further improves the effectiveness and practicability of the nonlinear equalization algorithm, and has an important application prospect in the field of digital signal processing related to optical communication.

The application relates to a probability shaping signal equalization method based on an improved LSTM nonlinear equalizer, and the method is characterized in that the method comprises the following steps: obtaining a transmission signal by sampling in an optical fiber transmission system; pre-processing the transmission signal; inputting the processed transmission signal into an improved LSTM nonlinear equalizer trained with MSE as a loss function to perform nonlinear compensation, and restoring original sending symbols. Compared with the prior art, the application has the advantages of avoiding overfitting, improving the generalization ability of the model, and effectively compensating for the nonlinear damage in optical fiber communication.

The application relates to a Volterra nonlinear equalization method and system, which comprises the following steps: obtaining an input signal; inputting the input signal into an improved Volterra equalizer after a pre-DSP step, and outputting an equalization result; when the improved Volterra equalizer is designed, the traditional algorithm in the prior art, in which all training sequences are directly used for training in sequence, is improved into a new algorithm in which the training sequences are grouped, intercepted and shuffled, the training set and the test set are divided, and training is carried out in two stages. Compared with the prior art, the application effectively solves the invisible and uncontrollable problem of overfitting during equalizer training while improving the training efficiency of the equalizer, thereby improving the compensation effect, and the application has good universality.

The invention discloses a signal compensation method and device in optical communication, equipment and a medium, relates to the technical field of network communication, is applied to a receiving end, and constructs a training set and a verification set comprising a plurality of sample pairs for a current optical communication scene; the sample pair is constructed based on a first historical digital signal acquired by the receiving end and a second historical digital signal needing to be sent by the sending end; respectively utilizing the training set and the verification set to alternately update the calculation weight of a candidate compensation operator and the selection weight of the candidate compensation operator of each architecture search unit in an initial equalizer so as to obtain a target equalizer; and obtaining a to-be-compensated digital signal of an optical signal currently received by the receiving end, and performing signal compensation on the to-be-compensated digital signal by using the target equalizer to obtain a target compensated signal. The generalization capability and the precision of a nonlinear equalization scheme in signal compensation in ultra-high-speed optical communication are improved, and the cost is reduced.

This application discloses an optical transmission system and an optical receiving device, relating to the field of optical communication technology. The optical transmission system includes an optical transmitting device and an optical receiving device. The optical transmitting device includes a light source component and a filtering component. The light source component outputs an optical double-sideband modulated signal. The filtering component receives the optical double-sideband modulated signal, filters it, and outputs a vestigial sideband signal. The optical receiving device includes a photoelectric conversion component and a signal processing component. The photoelectric conversion component receives the vestigial sideband signal, converts it into an analog electrical signal, and converts it into a digital electrical signal. The signal processing component receives the digital electrical signal and performs linear equalization and nonlinear equalization processing on it to compensate for linear and nonlinear impairments caused by dispersion in the vestigial sideband signal. Using the above optical transmission system can increase the transmission distance of optical signals in optical fibers.