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Dannielle Tadas

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Proceedings Article | 12 April 2021 Presentation + Paper

An efficient pulse detector and pulse width estimator for waveform characterization

Kenneth Ranney, Kwok Tom, Dannielle Tadas, Neal Tesny, Andre Magill, William Diehl

Proceedings Volume 11742, 117421E (2021) https://doi.org/10.1117/12.2586969

KEYWORDS: Data processing, Warfare, Sensors, Radar, Computing systems

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In order to characterize transmissions from a specific radar system, a surveillance team must first detect and then characterize the received radar pulses. Hence, pulse detection and pulse width estimation represent two critical functions of the surveillance activity. We present three procedures for efficiently performing both pulse detection and pulse width estimation. The first procedure leverages an edge detector based on a Haar wavelet filter, the second exploits the ratio of leading and trailing moving averages, and the third incorporates a novel formulation of the ratio that simplifies calculation of the detection threshold. The design features of the algorithms that engender computational efficiency are outlined, and effective methods for determining detection thresholds are described. The techniques are compared and contrasted using measured data from the CCDC U.S Army Research Laboratory’s Advanced Electronic Warfare Lab. Favorable results are obtained for signal-to-noise ratios of approximately 1.7 and 3.0 dB.

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