Application of genetic algorithm based on bi-level selection for passive positioning deployment optimization-Reference-Cited by-同舟云学术

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Application of genetic algorithm based on bi-level selection for passive positioning deployment optimization

Published:2022-11-30 Issue: Volume: Page:
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Container-title:International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022)
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Author:

Rong Yan,Li Peng,Liu Gaogao,Zhao Yaodong,Wu Bin

Publisher

SPIE

Reference13 articles.

1. A Bi-Level Gene-Based Multiobjective Memetic Algorithm for Passive Localization System Deployment Optimization;Wang;IEEE Transactions on Evolutionary Computation,2022

2. A Novel Joint TDOA/FDOA Passive Localization Scheme Using Interval Intersection Algorithm

3. Source localization using TDOA with erroneous receiver positions;Ho,2004

4. A Theoretical Analysis of 2D Sensor Arrays for TDOA Based Localization;Bin,2006

5. Analysis of Location Ambiguity, GDOP and Station Layout of Three-station in Multilateration;Sung,2016

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