Quality of Service Constrained-Resource Allocation Scheme for Multiple Target Tracking in Radar Sensor Network

Yan, Junkun; Dai, Jinhui; Pu, Wenqiang; Zhou, Shenghua; Liu, Hongwei; Bao, Zheng

doi:10.1109/jsyst.2020.2990409

Cited by 38 publications

(14 citation statements)

References 19 publications

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“…It is assumed that the RCS of all targets is the Swerling I model [31] with mean being 1, and remains constant over the measurement interval. Suppose that all targets carry with (32) E k,q = MI k,q P min k,q + P set P min k,q + P set (33)…”

Section: Parameter Settingsmentioning

confidence: 99%

“…In this scenario, the interference signal intensity of each jammer is assumed to be constant and the corresponding jam-signal ratio (JSR) is set as 12 dB. Hence, since the targets SNRs are only related to the radar-target distances and the transmit power results [32,33], the distance factor becomes the major contributor in the PA problem.…”

Section: Parameter Settingsmentioning

confidence: 99%

See 1 more Smart Citation

A robust power allocation strategy based on benefit–cost ratio for multiple target guidance in the C-MIMO radar system under blanket jamming

Xie

Zhang

et al. 2022

EURASIP J. Adv. Signal Process.

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How to utilize the limited power budget to accurately track more targets plays a critical role for the radar system in air defense applications, especially in the weapon guidance application. In this paper, we propose a robust power allocation (RPA) strategy in the collocated multiple-input and multiple-output (C-MIMO) radar system for multiple target guidance (MTG) under blanket jamming. The optimization model is established with the aim of increasing the number of effective tracking targets (ETTs) and improving the overall tracking accuracy among those targets. Since the mutual information (MI) quantifies the parameter estimation performance and can be predicted, the MI under blanket jamming is derived and utilized as the optimization criterion. We then propose a two-step optimization algorithm based on benefit–cost ratio (BCR) to solve the non-convex problem. Finally, numerical results are provided to demonstrate the effectiveness of the proposed algorithm.

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Section: Parameter Settingsmentioning

confidence: 99%

Section: Parameter Settingsmentioning

confidence: 99%

A robust power allocation strategy based on benefit–cost ratio for multiple target guidance in the C-MIMO radar system under blanket jamming

Xie

Zhang

et al. 2022

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

show abstract

“…Recent years, researchers show great interests on the problem of task scheduling in radar networks [10][11][12][13][14][15][16]. Motivated by better exploiting the limited system resource of radar network for target tracking, Yan proposed a joint detection and power allocation method [10].…”

Section: Introductionmentioning

confidence: 99%

“…Motivated by better exploiting the limited system resource of radar network for target tracking, Yan proposed a joint detection and power allocation method [10]. An auction-based task scheduling method for multifunction radar network was investigated to maximize the whole revenue considering the timeliness constrained tasks [11]. Aiming at maximizing the power density of multiple regions for interference simultaneously, Zhang et al proposed an antenna optimization deployment method in multi-static radar and numerical results was provided to demonstrate the validity [12].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Task Scheduling Algorithm for 3-D Target Imaging in Radar Network

Qun

Wang

Luo

et al. 2022

Preprint

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An effective task scheduling method is the premise and guarantee for cooperative imaging in radar network. In this article, an adaptive task scheduling algorithm for three- dimensional (3-D) target imaging in radar network is investigated. The aim of our strategy is to achieve the multiple 3-D target imaging tasks with the minimal task time. Firstly, the 3-D target image can be reconstructed by high-resolution inverse imaging aperture radar (ISAR) images from three views, and the sparse imaging algorithm based on compressed sensing (CS) is adopted to acquire the ISAR images of the targets. Then, the adaptive task scheduling optimization model is constructed. Through the steps of target Information perception, radar selection and adjustment of imaging terminal time, the optimal task scheduling strategy is obtained and the resource utilization of radar network is significantly improved. Finally, the experiments highlight the effectiveness of our proposed task scheduling method.

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“…It is of great significance to investigate the process and the mechanism of MRA tracking multi-targets [4,5]. Specifically, the transmit resource management of multiple radars system plays a key role in this research field, which is the focus of this paper [6][7][8][9].…”

Section: Introduction 1| Background and Literature Reviewmentioning

confidence: 99%

Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture

Ding

Shi

Wang

et al. 2022

IET Signal Processing

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A low probability of intercept (LPI)-based cooperative node selection and transmit resource allocation (CNS-TRA) strategy is proposed for multi-target tracking in multiple radars architecture (MRA). The key idea of the proposed CNS-TRA strategy is to coordinate the radar node selection and the transmit resource that is, dwell time, transmit power, and effective bandwidth allocation to improve the LPI performance, under the constraints of predefined target tracking accuracy requirement and several resource budgets. By incorporating the above controllable parameters, the Bayesian Cramér-Rao lower bound is calculated and used as the accuracy metric for target tracking. Subsequently, this paper develops a fast and effective two-stage-based solution methodology to solve the resulting non-convex and non-linear optimisation problem. Specifically, the optimisation problem can be decomposed into two sub-problems, that is, the radar node selection sub-problem and the transmit resource allocation sub-problem. The active-set method and the interior point approach are utilised to solve those two sub-problems, respectively. Simulation results demonstrate that the CNS-TRA strategy has superiority over other existing algorithms and can achieve better LPI performance for MRA.

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Quality of Service Constrained-Resource Allocation Scheme for Multiple Target Tracking in Radar Sensor Network

Cited by 38 publications

References 19 publications

A robust power allocation strategy based on benefit–cost ratio for multiple target guidance in the C-MIMO radar system under blanket jamming

A robust power allocation strategy based on benefit–cost ratio for multiple target guidance in the C-MIMO radar system under blanket jamming

An Adaptive Task Scheduling Algorithm for 3-D Target Imaging in Radar Network

Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture

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