用于ISAC系统的具有子载波间隔约束的抗干扰OFDM波形设计
Interference-Resilient OFDM Waveform Design with Subcarrier Interval Constraint for ISAC Systems
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中文总结 AI 辅助
针对ISAC系统中传统OFDM波形设计忽视环境干扰的问题，提出一种加权优化模型并开发迭代自适应循环最小化算法，在子载波间隔约束下实现抗干扰波形设计。
中文摘要 AI 辅助
在集成感知与通信（ISAC）系统中，传统的正交频分复用（OFDM）波形设计通常选择具有高频响应的信道来传输通信数据，这并未充分考虑环境中可能存在的干扰。为减轻这些不利影响，我们提出了一种优化模型，在峰值旁瓣电平与通信数据速率之间进行加权，并加入功率和通信子载波间隔约束。为解决由此产生的非凸问题，开发了一种迭代自适应循环最小化（ACM）算法，其中引入了自适应迭代因子以改善收敛性。随后，使用最小二乘算法通过进一步优化OFDM波形的相位来降低包络变异系数。最后，提供了数值仿真以证明所提出的OFDM策略的抗干扰能力以及ACM算法的鲁棒性。
英文摘要
Conventional orthogonal frequency division multiplexing (OFDM) waveform design in integrated sensing and communications (ISAC) systems usually selects the channels with high-frequency responses to transmit communication data, which does not fully consider the possible interference in the environment. To mitigate these adverse effects, we propose an optimization model by weighting between peak sidelobe level and communication data rate, with power and communication subcarrier interval constraints. To tackle the resultant nonconvex problem, an iterative adaptive cyclic minimization (ACM) algorithm is developed, where an adaptive iterative factor is introduced to improve convergence. Subsequently, the least squares algorithm is used to reduce the coefficient of variation of envelopes by further optimizing the phase of the OFDM waveform. Finally, the numerical simulations are provided to demonstrate the interference-resilient ability of the proposed OFDM strategy and the robustness of the ACM algorithm.
