一种物理嵌入双向非线性反馈网络及弱目标检测方法

By physically embedding a bidirectional nonlinear feedback network, the problem of weak target detection in radar under low signal-to-noise ratio conditions is solved, achieving high-precision and high-fidelity detection in low signal-to-noise ratio environments, improving detection sensitivity and reducing the false detection rate.

CN122410477APending Publication Date: 2026-07-17INNOVATION CENTER OF YANGTZE RIVER DELTA ZHEJIANG UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INNOVATION CENTER OF YANGTZE RIVER DELTA ZHEJIANG UNIVERSITY
Filing Date
2026-06-22
Publication Date
2026-07-17

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Abstract

本发明公开了一种物理嵌入双向非线性反馈网络及弱目标检测方法，涉及雷达信号处理技术领域，本发明采用非平衡统计物理随机共振机理构建受限非线性动力学模型，结合四阶龙格‑库塔离散化与无穷范数约束保证数值计算稳定性；引入雅可比正交解耦机制，彻底隔离高层语义分类梯度对底层雷达物理能量维度的干扰；设计频域子空间能量聚合稀疏检测损失函数，消除低信噪比下梯度衰减问题，并通过误差反馈分岔控制机制驱动物理系统自适应状态跃迁，实现噪声能量向弱目标信号能量的非线性转换与增益补偿，最终在低信噪比下实现对弱目标准确检测。
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