【摘要】 面向通导一体化系统在复杂环境下对可靠导航与高效通信的协同需求，提出了一种基于多场景感知的信号自适应设计方法。针对BPSK/BOC复合调制体制，构建了包含误码率、码跟踪误差、信道容量及抗干扰裕度的多维综合评价体系，并引入模糊逻辑与场景自适应权重模型，以动态平衡不同场景下的通导性能需求。在此基础上，利用深度强化学习实现功率比的在线自适应分配，并提出TransLaw知识迁移机制，通过复用源域知识加速跨场景切换时的收敛与稳态逼近。仿真结果表明，所提方法在四类典型场景及宽SNR（信噪比）区间内均获得了更优的综合性能：在低SNR与复杂干扰环境下，显著降低了误码率与码跟踪误差；在中高SNR下，有效提升了信道容量与抗干扰裕度。此外，模型学习到的策略具备良好的物理可解释性：低SNR阶段倾向增加BPSK功率以保障通信可靠性，而在高SNR或强窄带干扰下则增加BOC功率以提升频谱效率与抗干扰能力。更多还原

【Abstract】 Integrated communication and navigation(ICN) systems require reliable navigation and efficient data transmission under diverse and dynamic environments. To address this challenge, this work proposes a scenario-aware adaptive signal design method for ICN systems. For composite BPSK/BOC modulation, a multidimensional performance evaluation framework is first established, incorporating bit error rate, code tracking error, channel capacity, and anti-jamming margin. A fuzzylogic-based scenario perception mechanism and adaptive weighting model are introduced to dynamically balance communication and navigation performance requirements across different operational scenarios. Based on this framework, deep reinforcement learning is employed to achieve online adaptive power allocation between BPSK and BOC components. Furthermore, a knowledge transfer mechanism, termed TransLaw, is proposed to accelerate convergence and steady-state approximation during cross-scenario switching by reusing source-domain knowledge. Simulation results demonstrate that the proposed method achieves superior overall performance across four representative scenarios and a wide signal-to-noise ratio range. In low-SNR and severe interference environments, the scheme significantly reduces bit error rate and code tracking error, while in medium-to-high SNR regimes it improves channel capacity and anti-jamming capability. Moreover, the learned policy exhibits clear physical interpretability, allocating more power to BPSK under low-SNR conditions to enhance communication reliability, and increasing BOC power under high-SNR or narrowband interference conditions to improve spectral efficiency and interference resilience.更多还原