Simple,High-Performance Fusion Rule for Censored Decisions in Wireless Sensor Networks

作者：刘向阳;彭应宁;王秀坛;
摘要：Data selection-based summation fusion (DSSF) was developed to overcome the shortcomings of previously developed likelihood ratio tests based on channel statistics (LRT-CS) for the problem of fusing censored binary decisions transmitted over Nakagami fading channels in a wireless sensor network (WSN). The LRT-CS relies on detection probabilities of the local sensors,while the detection probabilities are a pri-ori unknown for uncooperative targets. Also,for Nakagami fading channels,the LRT-CS involves an infinite series,which is cumbersome for real-time application. In contrast,the DSSF only involves data comparisons and additions and does not require the detection probabilities of local sensors. Furthermore,the perform-ance of DSSF is only slightly de.....