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| Citation: | Wang Xiangli, Yi Wei, Kong Lingjiang. Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System[J]. Journal of Radars, 2017, 6(6): 602-610. doi: 10.12000/JR17045
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Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System
DOI: 10.12000/JR17045
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Abstract
Phased array radar can simultaneously form multiple beams that can scan without inertia allowing for flexible pointing. In this paper, we propose a joint beam and dwell time allocation strategy for multi-target tracking in a phased array radar system to achieve multi-target tracking with less system resources. First, we formulate an optimization problem for minimizing the total dwell time on all targets while guaranteeing to meet a predetermined target-tracking accuracy requirement. The Bayesian Cramer-Rao Lower Bound (BCRLB) is introduced as the tracking performance metric since it provides a lower bound for the error of target state estimate. Second, after proving the optimization problem is nonconvex, we propose a two-step decomposition algorithm which is first to determine the beam pointing and then allocate the beam dwell time to solve it. Finally, we achieve multi-target tracking based on the resource allocation results. Simulation results show that our optimization strategy is effective in saving resources and is favorable for achieving a better tracking performance of worse targets as compared to an operating mode wherein uniform resource allocation occurs.
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References
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Wang Song, Zhang Fubo, Chen Longyong, Liang Xingdong. Array-interferometric Synthetic Aperture Radar Point Cloud Filtering Based on Spatial Clustering Seed Growth Algorithm[J]. Journal of Radars, 2018, 7(3): 355-363. doi: 10.12000/JR18006
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- Figure 1. Multi-beam work mode of phased array radar system
- Figure 2. Deployment of targets with respect to radar
- Figure 3. Second target RCS models
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Figure 4. Resources allocation results with tracking threshold
η=200m - Figure 5. Resources allocation with H1 and S2
- Figure 6. Resources allocation with H2 and S1
- Figure 7. Detection probability after resource allocation with different tracking thresholds