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Power allocation scheme for target tracking in clutter with multiple radar system

机译:多雷达系统杂波目标跟踪的功率分配方案

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摘要

HighlightsA PA scheme is developed for target tracking in clutter using multiple radar system.We reformulated the PA scheme as a nonconvex mathematical optimization problem.We use the SPG algorithm to obtain a constrained stationary solution to this problem.AbstractIn this paper, apower allocation(PA) scheme is developed for target tracking in clutter usingmultiple radar system(MRS). The key idea of the PA scheme is to maximize the tracking performance in clutter for a predetermined power budget of the MRS. We use the Bayesian Cramér-Rao lower bound as the criterion, and formulate the PA scheme as a mathematical optimization problem. We analytically show that this optimization problem is nonconvex, and adopt a spectral projected gradient algorithm to obtain a constrained stationary solution to this problem. Simulation results demonstrate that the PA process can evidently expand the detection range, increase the resource utilization efficiency of the MRS, and improve the target tracking accuracy with a given power budget.
机译: 突出显示 使用多雷达系统开发了一种用于在杂波中进行目标跟踪的功率放大器方案。 我们将PA方案重新设计为非凸数学优化问题。 我们使用SPG算法获得对此问题的约束平稳解。 摘要 本文采用多雷达系统功率分配(PA)方案开发了用于杂波中目标跟踪的方案。 / ce:italic>(MRS)。 PA方案的关键思想是针对MRS的预定功率预算,使混乱情况下的跟踪性能最大化。我们使用贝叶斯Cramér-Rao下界作为准则,并将PA方案表述为数学优化问题。我们分析地表明,该优化问题是非凸的,并采用频谱投影梯度算法来获得对此问题的约束平稳解。仿真结果表明,在给定的功率预算下,PA过程可以明显地扩大检测范围,提高MRS的资源利用效率,并提高目标跟踪精度。

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  • 来源
    《Signal processing》 |2018年第3期|453-458|共6页
  • 作者单位

    National Laboratory of Radar Signal Processing, Xidian University, Collaborative Innovation Center of Information Sensing and Understanding at Xidian University;

    National Laboratory of Radar Signal Processing, Xidian University, Collaborative Innovation Center of Information Sensing and Understanding at Xidian University;

    National Laboratory of Radar Signal Processing, Xidian University, Collaborative Innovation Center of Information Sensing and Understanding at Xidian University;

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