CFAR Decision Fusion Approaches in the Clustered Radar Sensor Networks Using LEACH and HEED
We propose two constant-false-alarm-rate (CFAR) decision fusion approaches, the low-SNR and likelihood-ratio-based decision fusion in the central limit theory (LLDFCLT) and high-SNR and likelihood-ratio-based decision fusion in Kaplan-Meier estimator (HLDFKE). They are based on the clustered RSN mod...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2015-10-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/987526 |