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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Complex Successive Concave Sparsity Approximation
 Institute of Electrical and Electronics Engineers IEEE: 21st International Radar Symposium, IRS 2020 : October 57, 2020, Warsaw, Poland Piscataway, NJ: IEEE, 2020 ISBN: 9781728157863 ISBN: 9788394942151 S.6772 
 International Radar Symposium (IRS) <21, 2020, Warsaw> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer FHR () 
Abstract
In this paper we extend the successive concave sparsity approximation (SCSA) algorithm to complex numbers in order to make it available for applications benefiting of it e.g. radar applications. SCSA is an attractive reconstruction algorithm for compressive sensing (CS) problems due to its high reconstruction performance (superior to ℓ 1 algorithms) and in particular since it does not require any “hard” parameters, unlike all hard thresholding (HT) algorithms, which may be unknown in radar applications. We call this extended version complex successive concave sparsity approximation (CSCSA) and evaluate its performance by use of phase transition plots for random and discrete Fourier transform (DFT) sensing operators and further compare it with the two well known algorithms normalized iterative hard thresholding (NIHT) and fast iterative shrinkagethresholding algorithm (FISTA), where we especially show how the reconstruction performance of NIHT declines in case of wrongly assumed parameters.