期刊
IEEE TRANSACTIONS ON SIGNAL PROCESSING
卷 63, 期 3, 页码 604-619出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2014.2376886
关键词
Decision fusion; distributed detection; large-scale MIMO; wireless sensor networks
资金
- ERCIM within the Alain Bensoussan fellowship programme
- Faculty of Information Technology, Mathematics and Electrical Engineering of the Norwegian University of Science and Technology, Trondheim, Norway, within the project CAMOS
In this paper, we provide a study of channel-aware decision fusion (DF) over a virtual multiple-input multiple-output (MIMO) channel in the large-array regime at the DF center (DFC). The considered scenario takes into account channel estimation and inhomogeneous large-scale fading between the sensors and the DFC. The aim is the development of (widely) linear fusion rules, as opposed to the unsuitable optimum log-likelihood ratio (LLR). The proposed rules can effectively benefit from performance improvement via a large array, differently from existing suboptimal alternatives. Performance evaluation, along with theoretical achievable performance and complexity analysis, is presented. Simulation results are provided to confirm the findings. Analogies and differences with uplink communication in a multiuser (massive) MIMO scenario are underlined.
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