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Content Provider | IET Digital Library |
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Author | Li, Zhengjie Xie, Junwei Zhang, Haowei |
Abstract | Collocated multiple-input multiple-output radar can track multiple targets simultaneously by transmitting multiple orthogonal beams and adopting the digital beamforming technology. In this scenario, the authors propose a joint power and time width allocation approach, which combines a cognitive tracking model based on the posterior Cramér-Rao lower bound (PCRLB) and the square-root cubature Kalman filter. The aim of the optimisation model is to improve the velocity estimation accuracy by minimising the sum of the PCRLBs of the velocity of multiple targets, which are predicted based on the feedback information from the cognitive tracking model. However, there are two finite working resources in the optimisation model: the total transmit power of multiple beams and the total effective time width of each corresponding signal. The resource allocation problem can be transformed into a non-convex optimisation problem, which can be converted into a standard convex optimisation problem by the linear relationship between the optimal power and the optimal time width. In this way, the joint power and time width allocation scheme is established as an adaptive closed-loop system. Numerical results demonstrate that the velocity tracking accuracy can be improved efficiently by the proposed algorithm. |
Starting Page | 686 |
Ending Page | 693 |
Page Count | 8 |
ISSN | 17518784 |
Volume Number | 14 |
e-ISSN | 17518792 |
Issue Number | Issue 5, May (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/14/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0364 |
Journal | IET Radar, Sonar & Navigation |
Publisher Date | 2020-01-27 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Array Signal Processing Cognitive Tracking Model Collocated MIMO Radar Collocated Multiple-input Multiple-output Radar Convex Programming Digital Beamforming Technology Filtering Method in Signal Processing Finite Working ReSource Interpolation And Function Approximation Joint Power Kalman Filter MIMO Communication MIMO Radar Multiple Beam Multiple Orthogonal Beam Multiple Targets Multitarget Tracking Nonconvex Optimisation Problem Numerical Analysis Optimal Time Width Optimisation Optimisation Model Optimisation Technique Posterior Cramér-Rao Radar Equipment Radar Tracking Radio Link And Equipment Resource Allocation Resource Allocation Problem Signal Processing And Detection Square-root Cubature Kalman Filter Standard Convex Optimisation Problem Statistics System And Application Target Tracking Time Width Allocation Approach Time Width Allocation Scheme Total Effective Time Width Velocity Estimation Accuracy Velocity Tracking Accuracy |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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