Real-time dwell scheduling of component-oriented phased array radars

Kuo, Te‐Son; Chao, Yung-Sheng; Kuo, C.‐C. Jay; Chang, Cheng

doi:10.1109/tc.2005.10

Cited by 31 publications

(3 citation statements)

References 21 publications

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“…Generally, in ascending order of priority, the sequence of these tasks is: low-priority search, normal track, precision track and high-priority search [24].…”

Section: A Traditional Adaptive Scheduling Strategy For Mfparmentioning

confidence: 99%

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An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars

Chen

Zhang

Yuan

et al. 2015

IEEE Trans. Signal Process.

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In multi-function phased array radar (MFPAR) systems, time and energy resources are allocated for different tasks so that the radar can perform various missions simultaneously. An effective scheduling algorithm is crucial to optimizing the overall performance of the MFPAR. There are various existing adaptive resource scheduling methods for the allocation of radar resources, but none of them consider the mission of imaging, a very important task. In this paper, an adaptive ISAR-imagingconsidered task scheduling algorithm is proposed. Based on the sparse-aperture ISAR Compressive Sensing (CS) cognitive imaging techniques, the required resources for target imaging can be calculated from the online cognition of the target characteristics. Then the imaging mission is considered in the resource scheduling optimization model to realize adaptive allocation of radar resources and high-resolution imaging of multi targets. With the proposed algorithm, different tasks, such as tracking, searching and imaging, etc. can be implemented simultaneously, thus the radar efficiency is significantly improved. The effectiveness of the proposed method will be demonstrated by simulation experiments.

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“…Generally, in ascending order of priority, the sequence of these tasks is: low-priority search, normal track, precision track and high-priority search [24].…”

Section: A Traditional Adaptive Scheduling Strategy For Mfparmentioning

confidence: 99%

“…It can be proved that is a Markov chain, are independent and identically distributed. Assuming (24) Since task arrival is a Poisson process having rate , can be calculated as:…”

Section: Probability Analysis Of Roi=1 In a Certain Scheduling Intervalmentioning

confidence: 99%

An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars

Chen

Zhang

Yuan

et al. 2015

IEEE Trans. Signal Process.

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show abstract

“…To achieve the important requirement of LPI, dynamically scheduling and controlling the dwelling time of the radar during the sensor management is very necessary. The work in [2] formalizes the typical workload of a modern-phased array radar and proposes a rate-based approach to schedule radar dwells in a real-time manner. The paper [3] develops a generalized framework for the radar task scheduling problem as an optimization model, and all radar task parameters are treated as variables, thereby allowing greater scheduling flexibility and the ability to handle more targets using a single radar.…”

Section: Introductionmentioning

confidence: 99%

A novel dwelling time design method for low probability of intercept in a complex radar network

Zhang¹,

Zhu²,

Salous³

2015

Int. J. DNE

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To achieve the important tactical requirement of low probability of intercept (LPI) in the complex radar network, dynamically controlling the emission of the radars is very necessary. A novel radar dwelling time control strategy based on an interacting multiple model algorithm is presented in this paper, which controls the dwelling time of radar according to predicted covariance matrix during tracking, taking advantage of the relation model between the dwelling time and the tracking performance. First, the complex radar network is built for target tracking. Secondly, the influence of the dwelling time is considered in the tracking performance of the complex radar network. Finally, a decision will be made after the dwelling time for every radar is obtained by particle swarm optimization, the radar with the smallest dwelling time will be selected to track target. The tracking accuracy and LPI performance are demonstrated in the Monte Carlo simulations. The results are validated through the comparison with other methods.

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Online pulse interleaving task scheduling for multifunction radar

Zhang

Xie

et al. 2018

J Sched

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Real-time dwell scheduling of component-oriented phased array radars

Cited by 31 publications

References 21 publications

An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars

An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars

A novel dwelling time design method for low probability of intercept in a complex radar network

Online pulse interleaving task scheduling for multifunction radar

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