发表机构
School of Mathematical Sciences, Beijing University of Posts and Telecommunications（北京邮电大学数学科学学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对1比特DAC的MIMO-OFDM DFRC系统，提出一种基于非精确ADMM的高效波形设计方法，通过最大化FIM迹并保留CI约束，实现频域逐子载波优化与时域闭式更新，仿真验证了其良好性能。
AI 中文摘要
本文研究了具有1比特数模转换器（DACs）的MIMO-OFDM双功能雷达通信（DFRC）系统中的高效波形设计问题，该问题在现有文献中尚未得到充分探索。我们通过最大化目标角度Fisher信息矩阵（FIM）的迹来构建DFRC波形设计问题，同时受限于通过构造性干扰（CI）实现的符号错误概率约束以及时域1比特发射字母表约束。由此产生的问题是一个大规模非线性整数规划问题。我们开发了一种非精确交替方向乘子法（ADMM）算法，在时域和频域之间交替更新。所提出的方案能够在频域进行逐子载波优化，并在时域进行闭式原始和对偶更新。特别地，CI约束被有意保留在时域和频域子问题中，以促进中间迭代的可行性并改善ADMM的收敛行为。仿真结果展示了有前景的DFRC性能。
英文摘要
This paper studies efficient waveform design for MIMO-OFDM dual-functional radar-communication (DFRC) systems with 1-bit digital-to-analog converters (DACs), which remains underexplored in the literature. We formulate the DFRC waveform design problem by maximizing the trace of the target angular Fisher information matrix (FIM), subject to symbol-error probability constraints realized via constructive interference (CI) and a time-domain 1-bit transmit alphabet constraint. The resulting problem is a large-scale nonlinear integer programming problem. We develop an inexact alternating direction method of multipliers (ADMM) algorithm with alternating time- and frequency-domain updates. The proposed scheme enables subcarrier-wise optimization in the frequency domain and closed-form primal and dual updates in the time domain. In particular, the CI constraints are deliberately retained in both the time- and frequency-domain subproblems to promote the feasibility of intermediate iterates and improve the convergence behavior of ADMM. Simulation results demonstrate promising DFRC performance.
