| Description |
xii, 91 leaves : illustrations ; 28 cm. |
| Summary |
"In this thesis the application of independent component analysis (ICA) to a multiple-source detection problem is studied. Specifically, a detection problem that is somewhat of a blend of the classical "signals with unknown parameters in noise" and "random signals in noise" problems is investigated. The idea is to detect the presence of a class of devices from their unintended radio frequency (RF) radiation. Because the signal is not an intended radiation, each device will emit a slightly different pattern. Moreover, these patterns may change under varying conditions such as battery voltage and ambient temperature. In addition, there may be several devices present simultaneously. When only a single device is present the classical matched filtering (MF) approach works well. However, when several devices are present they interfere with each, especially when two or more are from the same class"--Abstract, leaf iii. |
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