A Multiindex Policy for Joint Selection of Subarrays and Operational Mode of Distributed Coherent Aperture Radars

IF 5.7 2区计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-02-13 DOI:10.1109/TAES.2025.3541624

Min Yang;Zengfu Wang;Jing Fu;José Niño-Mora;Yuhang Hao;Xiaoxu Wang

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Abstract

The joint selection of subarrays and operational mode plays a crucial role in distributed coherent aperture radar with multiple subarrays, which has received limited attention despite its significance in multitarget tracking. We model the joint selection problem of subarrays and operational mode as a restless multiarmed bandit (RMAB) process, aiming to minimize the expected total discounted error covariance trace value over an infinite time horizon. This article generalizes the conventional binary-action RMAB to the more complex multiaction RMAB (MA-RMAB) process with multiconstraints. The Whittle relaxation with two distinct Lagrange multipliers is utilized to relax the constraints on subarrays and computing resources over an infinite time horizon. A multiindex policy is proposed as a computable suboptimal heuristic for the MA-RMAB model, where the multiindexes are calculated by using the optimal value of the Lagrangian dual problem. The effectiveness of the proposed multiindex policy is validated through numerical simulation.

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分布式相干孔径雷达子阵联合选择和工作模式的多指标策略

子阵和工作模式的联合选择在多子阵分布式相干孔径雷达中起着至关重要的作用，但在多目标跟踪中具有重要意义，但受到的关注较少。我们将子阵列和操作模式的联合选择问题建模为一个不宁多臂匪（RMAB）过程，目的是在无限时间范围内最小化期望的总贴现误差协方差跟踪值。本文将传统的二作用RMAB过程推广到具有多约束的更复杂的多作用RMAB过程。利用具有两个不同拉格朗日乘子的惠特尔松弛，在无限时间范围内放松对子数组和计算资源的约束。针对MA-RMAB模型，提出了一种可计算的次优启发式多指标策略，该策略利用拉格朗日对偶问题的最优值来计算多指标。通过数值仿真验证了多指标策略的有效性。

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来源期刊

IEEE Transactions on Aerospace and Electronic Systems 工程技术-电信学

CiteScore

7.80

自引率

13.60%

发文量

433

审稿时长

8.7 months

期刊介绍： IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.