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Title 비가우시안 잡음 채널을 갖는 무선 센서 네트워크의 준 최적화 결정 융합에 관한 연구
Journal Name 인터넷정보학회논문지
First Author Jintae Park
Coauthor Insoo Koo, Kiseon Kim
Publication Date 2007.08.30 Link Link icon
Acceptance Rate (%) Date 2013-09-06 17:16
Decision fusion in wireless sensor networks under non-Gaussian noise channels is studied. To consider the tail behavior of noise distributions, we use a exponentially-tailed distribution as a wide class of noise distributions. Based on a canonical parallel fusion model with fading and noise channels, the likelihood ratio (LR) based fusion rule is considered as an optimal fusion rule under Neyman-Pearson criterion. With both high and low signal-to-noise ratio (SNR) approximation to the optimal rule, we obtain several suboptimal fusion rules, and we propose a simple fusion rule that provides robust detection performance with a minimum prior information. Performance evaluation for several fusion rules is performed through simulation. Simulation results show the robustness of the proposed simple fusion rule.
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광주과학기술원 한·러 MT-IT 융합기술연구센터 광주과학기술원정보통신공학부