Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks

Sensors

Yongsheng Yan²  Haiyan Wang²  Xiaohong Shen²  Xionghu Zhong¹ 

[1] School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore; E-Mail:;School of Marine Science and Technology, Northwestern Polytechnical University, 127 Youyi West Road, Xi’an 710072, China; E-Mails:

关键词: decision fusion;    channel errors;    average bit error rate;    likelihood ratio test;    decode-then-fuse;    sensor networks;   

DOI  :  10.3390/s150819157

来源: mdpi

【 摘 要 】

Decision fusion for distributed detection in sensor networks under non-ideal channels is investigated in this paper. Usually, the local decisions are transmitted to the fusion center (FC) and decoded, and a fusion rule is then applied to achieve a global decision. We propose an optimal likelihood ratio test (LRT)-based fusion rule to take the uncertainty of the decoded binary data due to modulation, reception mode and communication channel into account. The average bit error rate (BER) is employed to characterize such an uncertainty. Further, the detection performance is analyzed under both non-identical and identical local detection performance indices. In addition, the performance of the proposed method is compared with the existing optimal and suboptimal LRT fusion rules. The results show that the proposed fusion rule is more robust compared to these existing ones.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.