title: Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks.
abstract: 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.
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University,127 Youyi West Road, Xi\'an 710072, China. ysyan@mail.nwpu.edu.cn.
authors.forename: Yongsheng
authors.initials: Y
authors.lastname: Yan
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University,127 Youyi West Road, Xi\'an 710072, China. hywang@nwpu.edu.cn.
authors.forename: Haiyan
authors.initials: H
authors.lastname: Wang
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University,127 Youyi West Road, Xi\'an 710072, China. xhshen@nwpu.edu.cn.
authors.forename: Xiaohong
authors.initials: X
authors.lastname: Shen
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore. xhzhong@ntu.edu.sg.
authors.forename: Xionghu
authors.initials: X
authors.lastname: Zhong
keywords: average bit error rate; channel errors; decision fusion; decode-then-fuse; likelihood ratio test; sensor networks