Abstract
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.
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Chamberland, J.-F., Veeravalli, V.V.: Decentralized detection in sensor networks. IEEE Trans. Signal Process. 51, 407–416 (2003)
Lin, Y., Chen, B., Varshney, P.K.: Decision fusion rules in multi-hop wireless sensor networks. IEEE Trans. Aerosp. Electron. Syst. 41, 475–488 (2005)
Wang, T.-Y., Han, Y.S., Chen, B., Varshney, P.K.: A combined decision fusion and channel coding scheme for distributed fault-tolerant classification in wireless sensor networks. IEEE Trans. Wirel. Commun. 5, 1695–1705 (2006)
Iwaza, L., Kieffer, M., Al-Agha, K.: MAP estimation of network-coded correlated sources. In: International Conference on Advanced Technologies for Communications (ATC 2012), pp. 199–202 (2012)
Plata-Chaves, J., Lazaro, M., Artes-Rodriguez, A.: Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations. In: Proceedings of the 14th International Conference on Information Fusion (FUSION 2011), pp. 1–6, July 2011
Zhang, J., Teh, K.C., Li, K.H.: Maximum-likelihood FFH/MFSK receiver over Rayleigh-fading channels with composite effects of MTJ and PBNJ. IEEE Trans. Commun. 59, 675–679 (2011)
Lampe, L., Schober, R., Pauli, V., Windpassinger, C.: Multiple-symbol differential sphere decoding. IEEE Trans. Commun. 53(12), 1981–1985 (2005)
Yang, L.-L., Yen, K., Hanzo, L.: A Reed-Solomon coded DS-CDMA system using noncoherent M-ary orthogonal modulation over multipath fading channels. IEEE J. Sel. Areas Commun. 18, 2240–2251 (2000)
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Yang, F., Song, J., Si, Y., Li, L. (2019). Equal Gain Combining Based Sub-optimum Posterior Noncoherent Fusion Rule for Wireless Sensor Networks. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11743. Springer, Cham. https://doi.org/10.1007/978-3-030-27538-9_6
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DOI: https://doi.org/10.1007/978-3-030-27538-9_6
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