TY - GEN
T1 - Equal Gain Combining Based Sub-optimum Posterior Noncoherent Fusion Rule for Wireless Sensor Networks
AU - Yang, Fucheng
AU - Song, Jie
AU - Si, Yilin
AU - Li, Lixin
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Equal-gain combining
KW - Frequency-hopping
KW - Fusion rules
KW - M-ary frequency-shift keying
KW - Maximum a-posteriori principle
KW - Noncoherent detection
KW - Rayleigh
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85070516949&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-27538-9_6
DO - 10.1007/978-3-030-27538-9_6
M3 - 会议稿件
AN - SCOPUS:85070516949
SN - 9783030275372
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 63
EP - 72
BT - Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
A2 - Yu, Haibin
A2 - Liu, Jinguo
A2 - Liu, Lianqing
A2 - Liu, Yuwang
A2 - Ju, Zhaojie
A2 - Zhou, Dalin
PB - Springer Verlag
T2 - 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
Y2 - 8 August 2019 through 11 August 2019
ER -