基于非支配排序遗传算法的光生多路正交相位编码啁啾信号优化方法及系统
By optimizing the phase coding design of radar signals using the NSGA-II algorithm and combining it with a microwave photonics technology generation system, the problem of simultaneously optimizing autocorrelation and cross-correlation characteristics in traditional methods is solved, thereby improving the orthogonality and anti-interference performance of radar signals.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANKAI UNIV
- Filing Date
- 2025-11-11
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional genetic algorithms are difficult to effectively solve the problem of simultaneously optimizing the autocorrelation and cross-correlation characteristics of phase-coded frequency chirped signals, and there is a mismatch between microwave photonics technology and radar signal generation systems.
The non-dominated sorting genetic algorithm (NSGA-II) is used to optimize the multi-objective coding design and generate the Pareto optimal solution set. The autocorrelation and cross-correlation characteristics of the signal are optimized by a photon phase-coded frequency chirped signal generation system.
It significantly improves the orthogonality and anti-jamming capability of radar signals, enhancing the detection accuracy and anti-jamming performance of MIMO radar systems.
Smart Images
Figure CN121656973B_ABST