Joint Aperture and Transmit Resource Allocation Strategy for Multi-target Localization in Phased Array Radar Network

Zhang, Weiwei; Shi, Chenguang; Zhou, Jianjiang; Lv, Ruiguang

doi:10.1109/taes.2022.3203688

Cited by 2 publications

(3 citation statements)

References 34 publications

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“…The closer the target is, the shorter the time it takes to reach the radar. The threat level will be higher and the threat utility function is given by the following: (20) where r 1 = 50 km, r 2 = 80 km. Without considering the target's height, r 1 is the minimum target detection distance in the plane and r 2 is the maximum target detection distance in the plane.…”

Section: Target Distancementioning

confidence: 99%

“…In Reference [19], the paper introduces a joint target assignment and resource optimization strategy for target tracking. Based on Reference [19], joint aperture and transmit resource allocation is proposed in [20], which improves stealth performance by allocating the aperture, power, and effective bandwidth. To better deal with a jamming situation, the strategy of transmitting resource allocation under jamming is studied in References [21,22].…”

Section: Introduction 1background and Related Studiesmentioning

confidence: 99%

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Joint Power and Bandwidth Allocation in Collocated MIMO Radar Based on the Quality of Service Framework

et al. 2023

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The simultaneous multi-beam working mode of the collocated multiple-input and multiple-output (MIMO) radar enables the radar to track multiple targets simultaneously. A joint power and bandwidth allocation algorithm in a collocated MIMO radar based on the quality of service (QoS) framework is proposed for the multi-target tracking problem with different threat levels. Firstly, a posterior Cramer–Rao lower bound (PCRLB) concerning the power and bandwidth is derived. In addition, the optimal objective functions of power and bandwidth are designed based on the QoS framework, and the problem is solved using the convex relaxation technique and the cyclical minimization algorithm. The numerical results show that the proposed algorithm has better tracking accuracy and achieves more reasonable resource allocation compared to strategies such as average allocation.

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Section: Target Distancementioning

confidence: 99%

Section: Introduction 1background and Related Studiesmentioning

confidence: 99%

Joint Power and Bandwidth Allocation in Collocated MIMO Radar Based on the Quality of Service Framework

et al. 2023

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“…For the past few years, airborne radar networks have been gaining popularity and attention from technologists in different military and research organizations. The resulting great advantages over traditional static radar systems, such as the enhanced degree of freedom in geometric diversity and high flexibility and mobility of airborne platforms, can deliver powerful capabilities and better system performances for remote sensing, area surveillance, target detection, multi-target tracking (MTT), and parameter estimation [1,2]. To best utilize the potential of airborne radar networks, resource-aware scheduling is of crucial importance in different missions, which has been a research hot issue thus far.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Trajectory Planning and Resource Allocation for Multi-Target Tracking in Airborne Radar Networks under Spectral Coexistence

et al. 2023

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This paper develops a collaborative trajectory planning and resource allocation (CTPRA) strategy for multi-target tracking (MTT) in a spectral coexistence environment utilizing airborne radar networks. The key mechanism of the proposed strategy is to jointly design the flight trajectory and optimize the radar assignment, transmit power, dwell time, and signal effective bandwidth allocation of multiple airborne radars, aiming to enhance the MTT performance under the constraints of the tolerable threshold of interference energy, platform kinematic limitations, and given illumination resource budgets. The closed-form expression for the Bayesian Cramér–Rao lower bound (BCRLB) under the consideration of spectral coexistence is calculated and adopted as the optimization criterion of the CTPRA strategy. It is shown that the formulated CTPRA problem is a mixed-integer programming, non-linear, non-convex optimization model owing to its highly coupled Boolean and continuous parameters. By incorporating semi-definite programming (SDP), particle swarm optimization (PSO), and the cyclic minimization technique, an iterative four-stage solution methodology is proposed to tackle the formulated optimization problem efficiently. The numerical results validate the effectiveness and the MTT performance improvement of the proposed CTPRA strategy in comparison with other benchmarks.

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Joint Aperture and Transmit Resource Allocation Strategy for Multi-target Localization in Phased Array Radar Network

Cited by 2 publications

References 34 publications

Joint Power and Bandwidth Allocation in Collocated MIMO Radar Based on the Quality of Service Framework

Joint Power and Bandwidth Allocation in Collocated MIMO Radar Based on the Quality of Service Framework

Collaborative Trajectory Planning and Resource Allocation for Multi-Target Tracking in Airborne Radar Networks under Spectral Coexistence

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