Data-Driven Radar Selection and Power Allocation Method for Target Tracking in Multiple Radar System

Shi, Yuchun; Jiu, Bo; Yan, Junkun; Liu, Hongwei

doi:10.1109/jsen.2021.3087747

Cited by 23 publications

(5 citation statements)

References 17 publications

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“…Based on deep reinforcement learning, Shi et al [20] propose a data-driven multi-radar system target tracking resource allocation method. The goal is to minimize the long-term and short-term power consumption of the system through radar selection and multi-target power allocation under the premise of meeting the given tracking accuracy requirements.…”

Section: B Related Workmentioning

confidence: 99%

Power Consumption Model Construction and Analysis for Soft Synchronization FMCW Radar

Li,

Wang

2023

IEEE Access

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Soft synchronization frequency modulated continuous wave (SS-FMCW) radars not only have the diversity of transmit signals, but also have the flexibility of hardware structure. This article proposes a power consumption model for further analyzing the power performance of the SS-FMCW radar, which is a modulelevel model designed for intermittent ramp signals. First, based on the principle behind the SS-FMCW radar, we build the power consumption model of the radar transmitter and receiver according to the characteristics of intermittent ramp signals. Second, to analyze the power consumption performance of the SS-FMCW radar, we propose a duty cycle factor. In addition, we compare the power consumption performance of traditional frequency modulated continuous wave (FMCW) radar and the SS-FMCW radar with different factor values through theoretical analysis. Finally, the rationality of the theoretical analysis is verified by simulation experiments and actual test experiments. The experimental results show that the SS-FMCW radar has obvious advantages in power consumption performance compared with the traditional FMCW radar. Specifically, when D p = 0.5, compared with the traditional FMCW radar, the power consumption of the SS-FMCW radar is reduced by 18.6% in the actual test experiments. INDEX TERMS power consumption model, soft synchronization frequency modulated continuous wave (SS-FMCW) radar, intermittent ramp signals, duty cycle factor.

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Section: B Related Workmentioning

confidence: 99%

Power Consumption Model Construction and Analysis for Soft Synchronization FMCW Radar

Li,

Wang

2023

IEEE Access

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“…The modified particle swarm optimization was utilized to solve the sensor scheduling in [38]. [27] relaxed the constrained resource allocation to an unconstrained Markov decision process via Lagrangian relaxation.…”

Section: Related Workmentioning

confidence: 99%

A sensor selection approach to maneuvering target tracking based on trajectory function of time

Liu

et al. 2022

EURASIP J. Adv. Signal Process.

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In this paper, we propose a computationally efficient sensor selection approach for maneuvering target tracking using a sensor network with communication bandwidth constraints, given limited prior information on the target maneuvering models. We formulate the stochastic sensor selection problem as a linear programming problem which consists of two easily implementable steps. First, the Cramér–Rao lower bound corresponding to the sensor subset is derived as the objective function of the proposed sensor selection method based on a partially observable Markov decision process. Second, the target trajectory is modeled by a function of time to enable online target tracking which is free of the conventional, a priori Markov modeling of the target dynamics. We demonstrate the effectiveness of our method through several numerical examples.

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“…In addition, the attitude of satellite is expected to be adjusted frequently because that the relative angular velocity between the satellite and the HGV is high and time-varying. Moreover, the frequent attitude controls make the tracking accuracy of track-rate mode lower than the star mode [12]. These two modes are unsuitable for target tracking in mega-constellations because the satellites cannot collaborate efficiently with each other.…”

Section: Introductionmentioning

confidence: 99%

Accurately Tracking Hypersonic Gliding Vehicles via an LEO Mega-Constellation in Relay Tracking Mode

Li,

Wang,

Zheng

2024

J. of Syst. Eng. Electron.

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In order to effectively defend against the threats of the hypersonic gliding vehicles (HGVs), HGVs should be tracked as early as possible, which is beyond the capability of the ground-based radars. Being benefited by the developing megaconstellations in low-Earth orbit, this paper proposes a relay tracking mode to track HGVs to overcome the above problem. The whole tracking mission is composed of several tracking intervals with the same duration. Within each tracking interval, several appropriate satellites are dispatched to track the HGV. Satellites that are planned to take part in the tracking mission are selected by a new derived observability criterion. The tracking performances of the proposed tracking mode and the other two traditional tracking modes, including the stare and track-rate modes, are compared by simulation. The results show that the relay tracking mode can track the whole trajectory of a HGV, while the stare mode can only provide a very short tracking arc. Moreover, the relay tracking mode achieve higher tracking accuracy with fewer attitude controls than the track-rate mode.

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Data-Driven Radar Selection and Power Allocation Method for Target Tracking in Multiple Radar System

Cited by 23 publications

References 17 publications

Power Consumption Model Construction and Analysis for Soft Synchronization FMCW Radar

Power Consumption Model Construction and Analysis for Soft Synchronization FMCW Radar

A sensor selection approach to maneuvering target tracking based on trajectory function of time

Accurately Tracking Hypersonic Gliding Vehicles via an LEO Mega-Constellation in Relay Tracking Mode

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