@inproceedings{b9142791607241589d3c1121ebe3002c,
title = "Interactive fusion in distributed detection: Architecture and performance analysis",
abstract = "Within the Neyman-Pearson framework we investigate the effect of feedback in two-sensor tandem fusion networks with conditionally independent observations. While there is noticeable improvement in performance of the fixed sample size Neyman-Pearson (NP) test, it is shown that feedback has no effect on the asymptotic performance characterized by the Kullback-Leibler (KL) distance. The result can be extended to an interactive fusion system where the fusion center and the sensor may undergo multiple steps of interactions.",
keywords = "Distributed detection, Interactive fusion, Kullback-Leibler distance, Neyman-Pearson test",
author = "Earnest Akofor and Biao Chen",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638463",
language = "English (US)",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "4261--4265",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}