Sensor Configuration and Activation for Field Detection in Large Sensor Arrays
Youngchul Sung, Lang Tong, H. Vincent Poor
TL;DR
This paper analyzes how sensor configuration and activation strategies in large sensor arrays affect the detection of correlated random fields, providing insights into optimal choices based on SNR and field correlation.
Contribution
It introduces a framework for evaluating and comparing sensor configurations for field detection, highlighting how optimal strategies depend on key parameters.
Findings
Optimal sensor configurations vary with SNR and field correlation.
Detection performance improves with tailored sensor activation strategies.
Insights guide effective sensor deployment in large arrays.
Abstract
The problems of sensor configuration and activation for the detection of correlated random fields using large sensor arrays are considered. Using results that characterize the large-array performance of sensor networks in this application, the detection capabilities of different sensor configurations are analyzed and compared. The dependence of the optimal choice of configuration on parameters such as sensor signal-to-noise ratio (SNR), field correlation, etc., is examined, yielding insights into the most effective choices for sensor selection and activation in various operating regimes.
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Taxonomy
TopicsAntenna Design and Optimization · Distributed Sensor Networks and Detection Algorithms