A signal detection technique utilising a 'lock-in' architecture using the second-order harmonic frequency (2 v c ) applicable to portable opticalbiosensor systems is presented. The properties of frequency synthesis and filtering techniques are used to detect a weak signal concealed in intense background noise, such as thermal noise, 1/f noise and shot noise. Using the 2 v c lock-in, the main signal of interest keeps away from the influence of the 1/f noise, providing a much higher dynamic reserve. In this work, a portable biosensor system using the 2 v c frequency detection technique is demonstrated. The technique further enhances the minimum detectable range of 20 dB compared to the conventional DC lock-in method under the same conditions.
To detect threat signals in electronic warfare support systems, a detector that uses a plurality of windows with various sizes should be designed such that the length of all the signal sources can be considered. Since a large number of these windows cause excessive computational complexity, the number of windows of the detector is reduced by using a small number of representative windows. In this case, since a window is dedicated to the unknown signal of a certain interval, deterioration of the detection performance is inevitable owing to the inconsistency between the lengths of the received signal and the window size. Hence, the deterioration of the detection performance should be minimised by analysing the relation between the lengths of a window and a signal. However, the conventional analysis methods of detection performance are not suitable because they are based on the premise that the lengths of the signal and window are consistent with each other. The authors propose a novel analysis method using processing gain to overcome this limitation, which can be applied irrespective of the inconsistency between the lengths of a window and a signal. Based on this analysis, they present a method to obtain an optimal window length that minimises degradation of the detection performance and subsequently verify the result using simulation.
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