Cognitive radars have the capability of using the prior environmental information to improve the radar performance. In this study, a cost function for fully adaptive waveform parameters design for cognitive tracking radars is proposed. These parameters include – but not limited to – pulse length, pulse repetition frequency, number of transmitted pulses, and target revisit rate. Thus, the proposed cost function is capable of reducing the tracking error, using adaptive waveform parameters, along the time resource management, with adaptive coherent processing interval and target revisit time. The purpose of the proposed cost function is balancing the different radar measurement errors (which depend on radar transmitted waveform in contrary directions), with respect to the target manoeuvre scenario, to reach the radar tolerable tracking error. Simulation results show that using the proposed waveform parameter design cost function, tracking error is reduced, and an optimised radar time resource usage is obtained.

中文翻译：

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认知跟踪雷达的完全自适应波形参数设计

认知雷达具有使用先验环境信息来改善雷达性能的能力。在这项研究中，提出了一种用于认知跟踪雷达的完全自适应波形参数设计的代价函数。这些参数包括但不限于脉冲长度，脉冲重复频率，发射脉冲数和目标重访率。因此，所提出的成本函数能够利用自适应波形参数，通过时间资源管理，采用自适应相干处理间隔和目标重访时间来减少跟踪误差。提出的成本函数的目的是相对于目标机动情况平衡不同的雷达测量误差（取决于相反方向的雷达发射波形），以达到雷达可容忍的跟踪误差。