Neutron detector suitcase for the Nuclear Emergency Search Team

Dowdy, E.J.; Henry, C.N.; Hastings, R.D.

doi:10.2172/5178900

Cited by 6 publications

(1 citation statement)

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“…Other algorithms use filtering to reduce the variance of the signal before the comparison between the most recently acquired data and the previously acquired data is performed. Examples of these filtering techniques include: an exponential smoothing filter, 1 a moving average filter, 2 an S-fold scaler, 3 a stepwise monitor, 4 and the sequential probability ratio test (SPRT). 4 In a paper by Fehlau 5 , the performance of the exponential smoothing filter, the moving average filter and SPRT was measured.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Digital Signal Extraction Techniques

Cunningham¹,

Dowla²

2004

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We compare the performance of two methods of digital filtering to detect a radioactive source moving past a gamma-ray sensor. The first method is the boxcar filter, which is a standard method used in the detection of a moving radioactive source. The second method is the matched filter, which takes into account the variation in the number of photons absorbed in a gamma-ray sensor as a source moves past the sensor. We optimize both methods to detect a source moving at 5, 10, 15 and 20 mph, and the receiver-operator characteristics of the two techniques are plotted for comparison. The improvement of the matched filter over the box car filter is 27% at 5 mph and 22% at 10 mph for a 90% probability of detection and an average hours between false alarms equal to 10.

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Section: Introductionmentioning

confidence: 99%