Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level Assessment

The sensor scheduling problem under the target threat level assessment task was studied in this paper. Firstly, a target threat level model was established based on the Hidden Markov Model (HMM) and risk theory. Secondly, the target threat level assessment risk and the sensor radiation interception...

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Main Authors: Qing Dong, Ce Pang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9427140/
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author Qing Dong
Ce Pang
author_facet Qing Dong
Ce Pang
author_sort Qing Dong
collection DOAJ
description The sensor scheduling problem under the target threat level assessment task was studied in this paper. Firstly, a target threat level model was established based on the Hidden Markov Model (HMM) and risk theory. Secondly, the target threat level assessment risk and the sensor radiation interception risk were combined to build the non-myopic sensor scheduling model. Thirdly, the improved branch and bound algorithm was introduced to obtain sensor management schemes from the objective function. Finally, simulations were made to illustrate the effectiveness of the proposed method and algorithm. The simulation results show that the proposed target threat level model can avoid the error transmitting from motion states of targets effectively and the improved branch and bound algorithm can achieve perfect sensor management schemes with good quality in a fast convergence rate.
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spelling doaj.art-c9cbad09d74d4cd092bc62d724b42a142022-12-22T03:12:50ZengIEEEIEEE Access2169-35362021-01-019763797639410.1109/ACCESS.2021.30788309427140Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level AssessmentQing Dong0Ce Pang1https://orcid.org/0000-0002-7061-5102Army Engineering University, Shijiazhuang Campus, Shijiazhuang, ChinaArmy Engineering University, Shijiazhuang Campus, Shijiazhuang, ChinaThe sensor scheduling problem under the target threat level assessment task was studied in this paper. Firstly, a target threat level model was established based on the Hidden Markov Model (HMM) and risk theory. Secondly, the target threat level assessment risk and the sensor radiation interception risk were combined to build the non-myopic sensor scheduling model. Thirdly, the improved branch and bound algorithm was introduced to obtain sensor management schemes from the objective function. Finally, simulations were made to illustrate the effectiveness of the proposed method and algorithm. The simulation results show that the proposed target threat level model can avoid the error transmitting from motion states of targets effectively and the improved branch and bound algorithm can achieve perfect sensor management schemes with good quality in a fast convergence rate.https://ieeexplore.ieee.org/document/9427140/Target threat level assessmentnon-myopic sensor schedulingHidden Markov Modelrisk theorybranch and bound algorithm
spellingShingle Qing Dong
Ce Pang
Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level Assessment
IEEE Access
Target threat level assessment
non-myopic sensor scheduling
Hidden Markov Model
risk theory
branch and bound algorithm
title Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level Assessment
title_full Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level Assessment
title_fullStr Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level Assessment
title_full_unstemmed Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level Assessment
title_short Risk-Based Non-Myopic Sensor Scheduling in Target Threat Level Assessment
title_sort risk based non myopic sensor scheduling in target threat level assessment
topic Target threat level assessment
non-myopic sensor scheduling
Hidden Markov Model
risk theory
branch and bound algorithm
url https://ieeexplore.ieee.org/document/9427140/
work_keys_str_mv AT qingdong riskbasednonmyopicsensorschedulingintargetthreatlevelassessment
AT cepang riskbasednonmyopicsensorschedulingintargetthreatlevelassessment