Equal Gain Combining Based Sub-optimum Posterior Noncoherent Fusion Rule for Wireless Sensor Networks

Fucheng Yang, Jie Song, Yilin Si, Lixin Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The maximum a-posteriori (MAP) noncoherent fusion rule has been introduced for the best noncoherent detection performance, however, which is prohibitively complex for widely practical applications. In this contribution, a novel noncoherent detector named equal gain combining aided sub-optimum MAP (EGC-SMAP) is employed for the fusion detection in wireless sensor networks (WSNs). Explicate, our proposed EGC-SMAP fusion rule starts the detecting via EGC principle which shrinks the searching range. Then, the final decision is made by MAP fusion rule within the searching range. The novel EGC-SMAP fusion rule has two major advantages compared with the previous work. (1) It allows noncoherent detection, hence, the phase information of carrier is no longer required. As such, it is particularly suitable for WSNs applications with severe resource constraints. (2) This EGC-SMAP fusion rule can be viewed as a combination of EGC and MAP fusion rules, which is capable of achieving various required detection performance as well as computation complexity via justifying the searching range.

源语言英语
主期刊名Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
编辑Haibin Yu, Jinguo Liu, Lianqing Liu, Yuwang Liu, Zhaojie Ju, Dalin Zhou
出版商Springer Verlag
63-72
页数10
ISBN(印刷版)9783030275372
DOI
出版状态已出版 - 2019
活动12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 - Shenyang, 中国
期限: 8 8月 201911 8月 2019

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11743 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
国家/地区中国
Shenyang
时期8/08/1911/08/19

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