Vanessa van Rensburg works at the Council for Scientific and Industrial Research (CSIR) in Pretoria, in the field of Non-cooperative target recognition (NCTR) in the Radar Applications Group of the Defence, Peace, Safety and Security (DPSS) business unit.
She matriculated from Sentraal Hoërskool in Bloemfontein and obtained a B.Eng (Electronic) from the University of Pretoria in 2009 before becoming an employee of the CSIR in 2010.
In 2011, she registered as a part-time student for the Radar Masters programme, and graduated from the University of Cape Town with a M.Eng (Radar and Electronic Defence) in 2013.
Click on the photo to read an interview with her, which is part of the ‘Meet our Alumni‘ series.
Van Rensburg, Vanessa Janse. High Range Resolution Profile Alignment. MEng (Specialising in Radar and Electronic Defence) Dissertation. Department of Electrical Engineering, University of Cape Town, 2012.
Range bin alignment forms the first step in non-parametric motion compensation for ISAR imaging. Non-parametric techniques have fewer limitations to parametric techniques, which require that the assumption of a signal model is valid. Various range bin alignment algorithms have been developed. The success, or alignment quality, of these algorithms are typically estimated by visual examination of the aligned result.
Measures for quantifying the alignment quality achieved provide a means of comparing performances of different algorithms on a particular data set. Several such measures have been identified. Characteristics in the data, such as target vibration effects, may cause degradation of the quality measures. Common effects found in radar data that could cause quality degradation were simulated. The quality results were analysed to identify trends and sensitivities in the use of quality measures.
The evaluation of existing range bin alignment techniques has led to identifying a set of important design considerations for range bin alignment algorithms.