An efficient radar-target assignment and power allocation strategy for low-angle tracking in the MIMO-multisite radar system
An efficient radar-target assignment and power allocation strategy for low-angle tracking in the MIMO-multisite radar system
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DOI：
10.1016/j.sigpro.2022.108645
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发表时间：
2022-06
期刊：
影响因子：
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通讯作者：
Hao-wei Zhang;Weijian Liu;Taiyong Fei;Hao Zhou;Jun-wei Xie
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文献类型：
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作者：
Hao-wei Zhang;Weijian Liu;Taiyong Fei;Hao Zhou;Jun-wei Xie
在多输入多输出(MIMO)雷达网络中，如何有效地利用有限的资源对其跟踪能力起着至关重要的作用。提出了一种用于多输入多输出多站雷达系统跟踪低角目标的联合雷达目标分配与功率分配策略(JRTAPA)。MIMO-MSRs融合了分布式MIMO雷达结构和数字波束形成(DBF)技术，因此可以在低角跟踪中获得更好的跟踪性能。JRTAPA策略的机制是利用跟踪递归循环反馈的先验目标信息来分配有限的波束和功率资源。推导了多径干扰(MI)下的位置后验Cramér-Rao下界，并将其作为约束度量。考虑到每个目标对跟踪精度的具体要求，建立了基于服务质量(Qos)的优化模型，使总功耗最小。提出了一种高效的两阶段Karush-Kuhn-Tucker(KKT)条件求解器，用于求解此类非凸优化模型。仿真结果证实了JRTAPA策略优于联合调度和功率分配(JSPA)策略、目标分配和资源优化(JTARO)策略以及基于穷举搜索的算法。结果还表明，目标几何形状和跟踪精度要求对资源分配有重要影响。
How to utilize limited resources effectively in a multiple-input multiple-output (MIMO) radar network plays a critical role in its tracking capability. In this paper, a joint radar target assignment and power allocation (JRTAPA) strategy is proposed for the MIMO-multisite radar system (MIMO-MSRS) tracking low-angle targets. The MIMO-MSRS integrates the distributed MIMO radar architecture and the digital beamforming (DBF) technique, and hence better tracking performance in low-angle tracking is achievable. The mechanism of JRTAPA strategy is to allocate the limited beam and power resources using the prior target information feedback from the tracking recursive cycle. The location posterior Cramér-Rao lower bound (PCRLB) under the multipath interference (MI) is derived and adopted as the constraint metric. Considering the specific tracking accuracy requirement of each target, a quality of service (QoS)-based optimization model is established to minimize the total power consumption. An efficient two-stage Karush–Kuhn–Tucker (KKT) condition-based solver is proposed for solving such a nonconvex optimization model. The simulation results confirm the superiority of the proposed JRTAPA strategy over the joint scheduling and power allocation (JSPA) strategy, the target assignment and resource optimization (JTARO) strategy, as well as the exhaustive search-based algorithm. The results also reveal that the target geometry and tracking accuracy requirements have important effects on resource allocation.