Dependent Randomization in Parallel Binary Decision Fusion

doi:10.1109/JAS.2021.1003823

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	Dependent Randomization in Parallel Binary Decision Fusion
	Weiqiang Dong; Moshe Kam
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2021
卷号	8 期号:2 页码:361-376
摘要	We consider a parallel decentralized detection system employing a bank of local detectors (LDs) to access a commonly-observed phenomenon. The system makes a binary decision about the phenomenon, accepting one of two hypotheses ($H_0$ (“absent”) or $H_1$ (“present”)). The $k{{\rm{th}}}$ LD uses a local decision rule to compress its local observations $y_k$ into a binary local decision $u_k$; $u_k=0$ if the $k{{\rm{th}}}$ LD accepts $H_0$ and $u_k=1$ if it accepts $H_1$. The $k{{\rm{th}}}$ LD sends its decision $u_k$ over a noiseless dedicated channel to a Data Fusion Center (DFC). The DFC combines the local decisions it receives from $n$ LDs ($u_1, u_2,\ldots, u_n$) into a single binary global decision $u_0$ ($u_0=0$ for accepting $H_0$ or $u_0=1$ for accepting $H_1$). If each LD uses a single deterministic local decision rule (calculating $u_k$ from the local observations $y_k$) and the DFC uses a single deterministic global decision rule (calculating $u_0$ from the $n$ local decisions), the team receiver operating characteristic (ROC) curve is in general non-concave. The system’s performance under a Neyman-Pearson criterion may then be suboptimal in the sense that a mixed strategy may yield a higher probability of detection when the probability of false alarm is constrained not to exceed a certain value, $\alpha>0$. Specifically, a “dependent randomization” detection scheme can be applied in certain circumstances to improve the system’s performance by making the ROC curve concave. This scheme requires a coordinated and synchronized action between the DFC and the LDs. In this study, we specify when dependent randomization is needed, and discuss the proper response of the detection system if synchronization between the LDs and the DFC is temporarily lost.
关键词	Data fusion decision fusion dependent randomization parallel decentralized detection synchronization
DOI	10.1109/JAS.2021.1003823
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/43918
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Weiqiang Dong,Moshe Kam. Dependent Randomization in Parallel Binary Decision Fusion[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(2):361-376.
APA	Weiqiang Dong,&Moshe Kam.(2021).Dependent Randomization in Parallel Binary Decision Fusion.IEEE/CAA Journal of Automatica Sinica,8(2),361-376.
MLA	Weiqiang Dong,et al."Dependent Randomization in Parallel Binary Decision Fusion".IEEE/CAA Journal of Automatica Sinica 8.2(2021):361-376.

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