Adaptive frequency domain equalization method for underwater acoustic OFDM (Orthogonal Frequency Division Multiplexing) communication by utilizing Transform
By employing a Transformer-based adaptive frequency domain equalization method for underwater acoustic OFDM communication, and utilizing a self-attention mechanism and a feedforward network for soft decision processing, the problems of sluggish channel change and hard decision error propagation in traditional methods are solved, achieving efficient adaptive equalization and improved robustness for complex underwater acoustic channels.
Patent Information
- Application Number
- CN202610468121.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-10
- Publication Date
- 2026-05-29
AI Technical Summary
In traditional underwater acoustic OFDM communication, zero-forcing equalization is sluggish in response to channel changes and amplifies additive noise. Decision feedback frequency domain equalization is computationally complex and hard decision can easily lead to error propagation, making it unable to effectively cope with inter-symbol interference and frequency-selective fading in complex underwater acoustic channels.
An adaptive frequency domain equalization method based on Transformer for underwater acoustic OFDM communication is adopted. The method generates a complex symbol sequence by generating the original bit stream and then encoding and modulating it. The method utilizes the Transformer neural network for self-attention mechanism and soft decision processing of feedforward network, and combines error backpropagation to update network parameters and filter coefficients to achieve adaptive equalization.
It significantly reduces the probability of error propagation, enhances the system's adaptability to complex underwater acoustic channels, and improves the robustness of channel estimation and the real-time performance of communication.