AI 中文总结
研究多目标MIMO-OFDM感知中考虑泄漏的波束选择，推导可见性度量并制定相关问题，通过特定框架求解，提出分时公式作基准，结果表明该设计比多种基线具有更高最差目标可见性。
AI 中文摘要
本文研究了多目标多输入多输出（MIMO）-正交频分复用（OFDM）感知中考虑泄漏的波束选择。重点是确保每个假设目标在其自身的延迟-多普勒（DD）频段仍可检测，尽管存在其他目标的泄漏。为此，推导了一个可见性度量，以分离由有限网格OFDM模糊核、接收角耦合和发射码本增益引起的成对泄漏中的期望聚焦功率。然后，制定了一个最大-最小波束选择和功率分配问题，通过基于二分法的混合整数逐次凸逼近框架解决该问题。还提出了一种分时公式作为全局可解基准。数值结果表明，所提出的成对泄漏感知设计比分时、全局泄漏抑制、基于照明和随机波束选择基线具有更高的最差目标可见性，特别是当目标在角度或DD上接近时。
英文摘要
This paper studies leakage-aware beam selection for multi-target multiple-input multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) sensing. We focus on ensuring that each hypothesized target remains detectable at its own delay-Doppler (DD) bin despite leakage from other targets. For this, we derive a visibility metric that separates the desired focused power from pairwise leakage caused by the finite-grid OFDM ambiguity kernel, receive angular coupling, and transmit codebook gains. Then, we formulate a max-min beam-selection and power-allocation problem in which the sensing signal over the fixed OFDM time-frequency grid is transmitted by a limited number of selected beams. The resulting problem is solved via a bisection-based mixed-integer successive convex approximation framework. A time-sharing formulation is also presented as a globally solvable benchmark. Numerical results show that the proposed pairwise leakage-aware design achieves higher worst-target visibility than the time-sharing, global leakage-suppression, illumination-based, and random beam-selection baselines, especially when targets are close in angle or DD.
