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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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Empirical mode decomposition-based monopulse processor for enhanced radar tracking in the presence of high-power interference

Elgamel, S. A. and Soraghan, J. (2011) Empirical mode decomposition-based monopulse processor for enhanced radar tracking in the presence of high-power interference. IET Radar Sonar and Navigation, 5 (7). pp. 769-779. ISSN 1751-8784

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Abstract

Monopulse radars are used to track targets that appear in the look direction beam width. The distortion of the tracking information produced when high power interference signals (jamming) are introduced through the radar antenna can cause severe erroneous outcomes from the monopulse tracking processor. This leads to errors in the target tracking angles that may cause target mistracking. New monopulse radar structures that utilizes an empirical mode decomposition (EMD) based denoising processor are presented in this paper. EMD filtering is carried out for the complex radar chirp signal with subsequent detrending, thresholding, and denoising processes. These processes are used to decrease the noise level in the radar processed data to improve the signal to noise ratio. The performance enhancement using the monopulse radar tracking system with EMD based filtering is included using the standard deviation angle estimation error (STDAE) for different jamming scenarios and different target SNRs. STDAE shows that the new EMD based system works well in the case of main beam interference and side lobe interference for the conventional processor and, in the case of the spatial adaptive processor, is effective in the case of main lobe interference.