On 17 November 2020, Ali Jamoos published a new study in IET Communications titled “Distributed M-ary Hypothesis Testing for Decision Fusion in MIMO Wireless Sensor Networks”. The article aimed to study binary decision fusion over a shared Rayleigh fading channel with multiple antennas at the decision fusion center in wireless sensor networks.
In this article, distributed M-ary hypothesis testing for decision fusion in MIMO WSNs over Rayleigh fading channel is addressed. Three fusion rules are derived and analysed for the classification task. Namely, the optimum MAP rule, the MAP observation bound and the A-QDA rule. The simulation study we carried-out between the suggested fusion rules showed that the optimum MAP rule and its observation bound outperform the A-QDA rule in-terms of the detection performance for the various scenarios considered. In addition, better detection performance is obtained for the various rules when increasing the number of antennas or decreasing number of hypothesis. Furthermore, it was observed that the detection performance reaches a saturation level when increasing the number of antennas or SNR for the various fusion rules with different hypothesis scenarios.
For more information about the study, please contact the main author at This email address is being protected from spambots. You need JavaScript enabled to view it.
