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2010

Code design for radar STAP via optimization theory

7 years 11 months ago
Code design for radar STAP via optimization theory
Abstract--In this paper, we deal with the problem of constrained code optimization for radar space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. At the design stage, we devise a code design algorithm complying with the following optimality criterion: maximization of the detection performance under a control on the regions of achievable values for the temporal and spatial Doppler estimation accuracy, and on the degree of similarity with a pre-fixed radar code. The resulting quadratic optimization problem is solved resorting to a convex relaxation that belongs to the semidefinite program (SDP) class. An optimal solution of the initial problem is then constructed through a suitable rank-one decomposition of an optimal solution of the relaxed one. At the analysis stage, we assess the performance of the new algorithm both on simulated data and on the standard challenging the Knowledge-Aided Sensor Signal Processing and Expert Reasoning (KASSPER) datacube.
Antonio De Maio, Silvio De Nicola, Yongwei Huang,
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TSP
Authors Antonio De Maio, Silvio De Nicola, Yongwei Huang, Daniel Pérez Palomar, Shuzhong Zhang, Alfonso Farina
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