一种基于期望传播的低复杂度水声OTFS接收机方法
By designing a Kalman smoothing method based on expectation propagation in the OTFS system, the problem of high computational complexity of the equalizer in the OTFS system is solved, achieving high-performance equalization with low complexity, thus improving the efficiency and practicality of underwater acoustic communication.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NORTHWESTERN POLYTECHNICAL UNIV
- Filing Date
- 2023-10-03
- Publication Date
- 2026-07-17
AI Technical Summary
The equalizer design in existing OTFS systems suffers from high computational complexity, especially in high-order and high-dimensional scenarios. Traditional linear and nonlinear algorithms struggle to reduce complexity while maintaining performance.
An equalizer in the OTFS system is designed using a Kalman smoothing method based on expectation propagation. The computational complexity is reduced by iteratively updating the posterior mean and variance of the transmitted symbols and combining a damping factor. The channel structure is used for block Kalman smoothing and expectation propagation.
While reducing computational complexity, the detection performance of the OTFS communication system was maintained or improved, thereby enhancing system efficiency and practicality.
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