Cognitive radars have the capability of adapting the transmitted waveform with the dynamic state of target and environment, to enhance the radar performance. In this study, a cost function is proposed for designing the waveform parameters in cognitive radars, along managing the radar time resources. The proposed cost function has the capability of adapting to any radar measurement vector. The purpose of the proposed cost function is to design the waveform parameters adaptively, so that a compromise between the different radar measurement errors is made. This compromise between the different radar measurement errors depends on the prior and posterior target state estimations. Both simulated target data and real target data are used for evaluating the proposed cost function. Also the performance of the proposed cost function is compared to the previously presented cost function. Simulation results indicate that by exploiting the proposed cost function, a great saving on time resources is achieved, while tracking error is kept stable. This time resource-saving lies within the range of 10% up to 50% depending on the target manoeuvre scenario. Also, in a non-time resource management case, an improvement in tracking error is achieved.

中文翻译：

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设计认知雷达的自适应时间资源管理成本函数

认知雷达具有使发射波形与目标和环境的动态状态相适应的能力，以增强雷达性能。在这项研究中，提出了一种成本函数，用于在管理雷达时间资源的同时设计认知雷达中的波形参数。拟议的成本函数具有适应任何雷达测量矢量的能力。提出的代价函数的目的是自适应地设计波形参数，以便在不同的雷达测量误差之间做出折衷。不同雷达测量误差之间的这种折衷取决于先前和之后的目标状态估计。模拟目标数据和实际目标数据均用于评估建议的成本函数。还将所提出的成本函数的性能与先前提出的成本函数进行比较。仿真结果表明，通过利用本文提出的成本函数，可以节省大量时间资源，同时保持跟踪误差稳定。根据目标机动方案，此时间资源节省在10％到50％的范围内。另外，在非时间资源管理的情况下，可以实现跟踪误差的改善。