2013
DOI: 10.1109/tap.2013.2256096
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Pulse-Shaping Strategy for Time Modulated Arrays—Analysis and Design

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Cited by 86 publications
(38 citation statements)
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“…However, inherent sideband radiations in TMAA reduces antenna efficiency and directivity [15,16] when the desired pattern is synthesized at the operating frequency only. Accordingly, during the last decade, a number of contributions with different time-modulation approaches based on different optimization tools have been successfully applied to realize different patterns at the operating frequency by suppressing SBLs to sufficiently low values [10][11][12][13][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…However, inherent sideband radiations in TMAA reduces antenna efficiency and directivity [15,16] when the desired pattern is synthesized at the operating frequency only. Accordingly, during the last decade, a number of contributions with different time-modulation approaches based on different optimization tools have been successfully applied to realize different patterns at the operating frequency by suppressing SBLs to sufficiently low values [10][11][12][13][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Hence, in some application, it is necessary to reduce the sideband power associated with TMAAs. As a consequence, including VAS, [9][10][11][12][13][14] different other time modulation approaches such as pulse shifting, [15,16] binary optimized time sequences (BOTS), [17] sub-sectional optimized time steps (SOTS), [18] sub-division of the element switching sequence combined with the finite bandwidth of the array elements, [19] optimization of the unequal element spacing, [20] exploitation of pattern multiplication for the directive TMAAs [21] and recently, pulse shaping strategy [22] have been incorporated to synthesize the desired low side lobe patterns at the operating frequency by suppressing the maximum sideband level (SBL max ) to significantly low value. In different timemodulation approaches, different optimization tools like simulated annealing (SA), [9,10] differential evolution (DE), [11][12][13]18,20] artificial bee colony (ABC), [14] particle swarm optimization (PSO) [15,16,21,24,25] and genetic algorithm (GA) [17] are successfully employed to realize such optimum patterns in TMAAs.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a new approach for TMAs design has been proposed where the shapes of the modulating pulses have been taken into account for SR suppression [28]. By knowing that the amplitude weighting coefficients of the pattern at the antenna working frequency of a TMA are equal to the areas of the pulses modulating the static excitations, different pulse shapes have been considered in [28] and close form relationships have been derived to compute the amount of power losses in the SR.…”
Section: Introductionmentioning
confidence: 99%