Improving the scan statistic to design sensor detection systems

Benedito J. B. Fonseca · 2016

When designing a sensor system to detect a target emitter in a large region of interest, it is desirable to use a fusion rule that avoids fusing strong measurements from sensors close to the emitter with weak measurements from sensors far from the emitter. To satisfy this criterion, the system designer may use a fusion rule based on the scan statistic. While this rule offers improved detection performance over other rules, this paper shows that its performance suffers when the scanning process encounters a varying number of sensors. In order to mitigate this degradation, it is proposed here that the fusion rule be based on a normalized scan statistic.

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