Probability of Detection and Optimal Sensor Placement for Threshold Based Detection Systems

被引：21

作者：

Stolkin, Rustam ^{[1
]}

Florescu, Ionut ^{[2
]}

机构：

[1] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England

[2] Stevens Inst Technol, Dept Math Sci, Hoboken, NJ 07030 USA

来源：

IEEE SENSORS JOURNAL | 2009年 / 9卷 / 1-2期

关键词：

Diver detection; probability of detection; sensor network optimization; sensor placement;

D O I：

10.1109/JSEN.2008.2008884

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper provides a probabilistic analysis of simple detection systems which are based on thresholding feature values extracted from a sensor signal. For such systems, this paper explains how to calculate the probability of detection as a function or range from the sensor to the object of interest. This function is important in that it enables optimal positioning of a group of sensors, either maximizing detection rates for a given number of sensors or informing the minimum number of sensors necessary to achieve a desired probability of detection throughout an area. An example case study is presented, based on a novel approach to passive acoustic diver detection in noisy environments.

引用

页码：57 / 60

页数：4