Code Design for Radar STAP via Optimization Theory

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 dete...

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Vydáno v:IEEE transactions on signal processing Ročník 58; číslo 2; s. 679 - 694
Hlavní autoři: De Maio, A., De Nicola, S., Yongwei Huang, Palomar, D.P., Shuzhong Zhang, Farina, A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.02.2010
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithm design and analysis
Algorithms
Applied sciences
Constraint optimization
Design engineering
Design optimization
Doppler effect
Doppler radar
Exact sciences and technology
Information, signal and communications theory
Maximization
Miscellaneous
Nonconvex quadratic optimization
Optimal control
Optimization
Radar
Radar detection
radar signal processing
Radar theory
semidefinite programming relaxation
Signal analysis
Signal processing
Signal processing algorithms
Similarity
space-time adaptive processing (STAP)
Spaceborne radar
Telecommunications and information theory
waveform design
Performance evaluation
Non convex programming
Similarity
waveform design
space-time adaptive processing (STAP)
Algorithm
semidefinite programming relaxation
Constrained optimization
Relaxation
Accuracy
Space-time adaptive processing
Nonconvex quadratic optimization
Optimal solution
Radar
Signal processing
Optimality criterion
Radar signal processing
ISSN:1053-587X, 1941-0476
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Popis
Shrnutí: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.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2009.2032993