2014
DOI: 10.1109/lawp.2014.2299285
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Optimization of Sparse Time-Modulated Array by Genetic Algorithm for Radar Applications

Abstract: International audienceThis letter investigates sparse time-modulated arrays (STMAs). It shows that they provide an efficient solution to achieve specified radiation patterns in radar application with a reduced number of bits to code the weighting coefficients. Interference rejection is also demonstrated

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Cited by 39 publications
(20 citation statements)
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“…Many authors have already worked on the optimization of the latter time dimension. On the former, specially for radar, we can mention the use of sparse arrays (STMA [7]) and Phase Only Synthesis solution (POSTMA [8]). For all these cases, the number of degrees of freedom can be large (multiple amplitudes and/or phases for w mp , different durations ∆t p ), which gives better results, but longer optimization time.…”
Section: Time Modulated Arraymentioning
confidence: 99%
“…Many authors have already worked on the optimization of the latter time dimension. On the former, specially for radar, we can mention the use of sparse arrays (STMA [7]) and Phase Only Synthesis solution (POSTMA [8]). For all these cases, the number of degrees of freedom can be large (multiple amplitudes and/or phases for w mp , different durations ∆t p ), which gives better results, but longer optimization time.…”
Section: Time Modulated Arraymentioning
confidence: 99%
“…Such a capability of adaptive nulling in time-varying scenarios was evaluated in [32] by Poli et al, and completed in [33]. Further examples are the synthesis of the so-called power-patterns for wide coverage purposes [34,35], or radar applications [36,37]. …”
Section: State Of the Artmentioning
confidence: 99%
“…To compensate for these drawbacks, we have developed two main techniques, one based on sparse array (Sparse Time Modulated Array, STMA), cf. [5], and the other based on phase-only synthesis [6]. Both actually rely on the same idea, which is to optimize along the array dimension and no longer along the time dimension.…”
Section: B Application To Radarmentioning
confidence: 99%