| 摘要 |
Identifying an emission signature in a first model of an ambient electromagnetic spectrum by comparing to a second model known to contain the signature In the field of emission detection, there is provided a method of identifying the presence of an emission signature. The method comprises forming a first model of the ambient electromagnetic spectrum by adapting coefficients of an adaptive filter so that the impulse response of the adaptive filter resembles the ambient electromagnetic spectrum as closely as possible. The first model of the ambient electromagnetic spectrum is compared to a second model of the ambient electromagnetic spectrum that was formed when the ambient electromagnetic spectrum was known to contain the emission signature. If the first and second model is sufficiently similar, it is determined that the signature is present in the first. The deployment of a change point algorithm in comparing the first and second models may be used to quickly identify such emissions. In a second aspect of the invention the deployment of devices using the method allows the location of signals to be geo-located. The invention is primarily used for detecting specific emitters, such as those worn by personnel operating in avalanche or earthquake zones that produce signals that are known. |
