JOINT NODE AND RESOURCE SCHEDULING STRATEGY FOR THE DISTRIBUTED MIMO RADAR NETWORK TARGET TRACKING VIA CONVEX PROGRAMMING

被引：0
|
作者：
Su, Yang [1 ]
He, Zishu [1 ]
Cheng, Ting [1 ]
Wang, Jiaheng [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu, Sichuan, Peoples R China
来源：
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年
基金：
中国国家自然科学基金;
关键词：
Transmitter and receiver selection; dwell time allocation; power and bandwidth allocation; sequential convex programming; semi-definite programming; ALLOCATION; POWER;
D O I：
10.1109/IGARSS46834.2022.9884705
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this paper, for the application of multi-target tracking (MTT), a joint node and resource scheduling (JNRS) strategy based on convex programming is proposed for the distributed multiple-input multiple-output (MIMO) radar network. To be more precise, the JNRS strategy is first formulated as a mathematic optimization problem, which is NP-hard. Then, an iterative and efficient solution technique incorporating the sequential convex programming (SCP) and the semi-definite programming (SDP) is proposed to tackle the NP-hard problem. Finally, numerical simulation results are provided to verify the effectiveness of the proposed JNRS strategy. Furthermore, the proposed JNRS strategy can achieve better MTT performance than other existing benchmark strategies.
引用
收藏
页码：4098 / 4101
页数：4
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