1. Joint beam selection and resource allocation for cognitive multiple targets tracking in MIMO radar with collocated antennas
- Author
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Chaohui Wang, Houhong Xiang, Zhengjie Li, Haowei Zhang, and Junwei Xie
- Subjects
Radar tracker ,Phased array ,Computer science ,business.industry ,020206 networking & telecommunications ,Tracking system ,02 engineering and technology ,law.invention ,Bandwidth allocation ,law ,Convex optimization ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Resource allocation ,Electrical and Electronic Engineering ,Radar ,Particle filter ,business - Abstract
Compared with conventional phased array radar, the collocated multiple-input multiple-out (C-MIMO) radar is envisioned to offer greater freedom in waveform design and can simultaneously manage different beams to track multiple targets in the simultaneous multi-beam (SM) working mode. In this study, aiming at the multiple targets tracking (MTT) problem, a joint beam selection integrated with power and bandwidth allocation (JSPBA) scheme for the C-MIMO radar is proposed in the SM mode. By incorporating the modified particle filter, the predicted conditional Cramer–Rao lower bound (PC-CRLB) is calculated, which gives a measure of the best achievable performance for targets tracking. Then, the optimisation model is established with the aim of improving the worst case of PC-CRLB to achieve better performance of the worst-case tracking. Next, a three-step solution method is proposed to solve the JSPBA problem by converting the non-convex problem into a series of convex problems. At last, after the solutions are fed back to the control centre to guide the beam generation in the next tracking epoch, a cognitive tracking system is established. Simulation results confirm the superiority of the proposed method in improving the MTT performance in C-MIMO radar system.
- Published
- 2020