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008150723s2014    oncd    ob   f000 0 eng d
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aD68-2/58-2014E-PDF
1001 |aNguyen, Bao U.
24510|aModelling metrics for mine counter measure operations |h[electronic resource] / |cB. Nguyen and R. Mirshak.
260 |a[Ottawa] : |bDefence Research and Development Canada, |c2014.
300 |avi, 47, [2] p. : |bfig., graphs.
4901 |aScientific report ; |v2014-R58
500 |aAugust 2014.
504 |aIncludes bibliographical references (p. 44-45).
520 |aThis scientific report presents a methodology to determine the expected probabilities of detection of a target based on multiple looks at that target. A sensitivity analysis of the probabilities of detection based on the number of looks, tactics and cross sections is provided. Generally, the probability of detection improves significantly with the number of looks. Its value can vary substantially with the search and detection tactics as well as the cross section of a target. There are three tactics identified here where each look is independent of the others. The first tactic is a globally optimal tactic where the consecutive look angles are equidistant. The second tactic distributes the look angles randomly. The third tactic imposes the same angle for all look angles. In addition, the guaranteed best angle of the broad side of a target from the first tactic is extracted. For each tactic, an example of a corresponding search pattern is proposed. The methodology in this report can be implemented easily on any computational symbolic software; MathCad version 14 was used herein. It is hoped that this report will make the search and detection community aware of the phenomenologies of multiple looks, and that the material presented will be incorporated into the mine search and detection tactics of the CAF.
69207|2gccst|aDemining
7101 |aCanada. |bDefence R&D Canada.
830#0|aScientific report (Defence R&D Canada)|v2014-R58|w(CaOODSP)9.802305
85640|qPDF|s1.11 MB|uhttps://publications.gc.ca/collections/collection_2015/rddc-drdc/D68-2-58-2014-eng.pdf