2008
DOI: 10.1109/tmag.2007.916286
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An Interval-Based Target Tracking Approach for Range-Only Multistatic Radar

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Cited by 22 publications
(9 citation statements)
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“…Indeed, IA has been recently considered as a powerful tool in several applicative areas of engineering electromagnetics (e.g. the robust design of magnetic devices [17,18], the radar tracking [19], and the tolerance analysis of reflector antennas [20]), thanks to its capability to naturally deal with uncertainties and tolerance errors as well as to define closed-form robust and reliable bounds by means of the arithmetic of intervals. As for robust beamforming and assuming of a-priori fixed tolerances, interval power patterns lying within mask constraints have been yielded by optimising the values of the nominal array amplitudes with a biologically inspired global optimisation algorithm in [15] and, for pencil beam patterns, through a deterministic convex minimisation procedure [16].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, IA has been recently considered as a powerful tool in several applicative areas of engineering electromagnetics (e.g. the robust design of magnetic devices [17,18], the radar tracking [19], and the tolerance analysis of reflector antennas [20]), thanks to its capability to naturally deal with uncertainties and tolerance errors as well as to define closed-form robust and reliable bounds by means of the arithmetic of intervals. As for robust beamforming and assuming of a-priori fixed tolerances, interval power patterns lying within mask constraints have been yielded by optimising the values of the nominal array amplitudes with a biologically inspired global optimisation algorithm in [15] and, for pencil beam patterns, through a deterministic convex minimisation procedure [16].…”
Section: Introductionmentioning
confidence: 99%
“…In electromagnetics, despite the wide number of problems where tolerances and errors can cause severe degradations of the performances, IA has been applied, to the best of authors' knowledge, in only few cases (e.g. [51][52][53][54][55]).…”
Section: Introductionmentioning
confidence: 99%
“…Originally introduced to bound rounding errors in numeric computations [56,57], the use of interval analysis has been then extended to the solution of linear and nonlinear equations [58] and functional optimization [67]. Nowadays, the use of interval analysis is widespread, but its applications to electromagnetics are still limited to few applications mainly concerned with the design of robust devices [59,60] and reliable systems [61]. In this work, the reliability of the IA in the global optimum search as well as the intrinsic convergence conditions are exploited to define an innovative optimization framework where the inversion problem is firstly reformulated within the intervals arithmetic to successively apply an IA-based optimization for identifying the global optimum of the cost function at hand.…”
Section: Introductionmentioning
confidence: 99%