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Joint Time-Space Resource Allocation and Waveform Selection for the Collocated MIMO Radar in Multiple Targets Tracking
Signal Processing ( IF 4.4 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.sigpro.2020.107650
Xi Li , Ting Cheng , Yang Su , Han Peng

Abstract Compared with conventional phased array radar, the collocated MIMO radar can effectively control the transmitting beam width by means of sub-array division. Therefore, different targets may be illuminated simultaneously with one beam in the collocated MIMO radar, providing greater freedom degree in resource management. The joint time-space resource allocation and waveform selection optimization model for the collocated MIMO radar is proposed in this paper, where the objective function that takes both the system resource and tracking precision into consideration is minimized under the guarantee of effective targets detection. Through solving the proposed optimization model, the corresponding joint optimization algorithm is obtained. The optimal sampling period, sub-array number, illuminated targets set, transmitting energy and transmitting waveform parameters combination is chosen adaptively, where the former four realize the time-space resource allocation and the last one realizes the waveform selection. Simulation results demonstrate that the validity and effectiveness of the proposed algorithm.

中文翻译:

多目标跟踪中并置MIMO雷达的联合时空资源分配和波形选择

摘要 与传统相控阵雷达相比,配置式MIMO雷达可以通过子阵划分的方式有效控制发射波束宽度。因此,在配置的 MIMO 雷达中,可以用一个波束同时照射不同的目标,为资源管理提供更大的自由度。提出了并置MIMO雷达的联合时空资源分配和波形选择优化模型,在保证有效目标检测的前提下,最小化兼顾系统资源和跟踪精度的目标函数。通过求解所提出的优化模型,得到相应的联合优化算法。最佳采样周期、子阵数、照明目标集、发射能量和发射波形参数组合自适应选择,前四个实现时空资源分配,最后一个实现波形选择。仿真结果证明了该算法的有效性和有效性。
更新日期:2020-11-01
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