1999
DOI: 10.1109/8.761060
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Parametric study and temperature sensitivity of microstrip antennas using an improved linear transmission line model

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Cited by 20 publications
(16 citation statements)
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“…But, these expressions for CMSA do not take into account the dispersion effect, unlike those available for RMSA [3,4]. Also, it is mentioned for CMSA, that for a thin substrate, eff should be used, and for a thick substrate r should be used in the resonance frequency formula, but a well-defined boundary as up to what substrate thickness eff should be used, is not defined [4,7].…”
Section: Resonance Frequency Of Hmsamentioning
confidence: 94%
“…But, these expressions for CMSA do not take into account the dispersion effect, unlike those available for RMSA [3,4]. Also, it is mentioned for CMSA, that for a thin substrate, eff should be used, and for a thick substrate r should be used in the resonance frequency formula, but a well-defined boundary as up to what substrate thickness eff should be used, is not defined [4,7].…”
Section: Resonance Frequency Of Hmsamentioning
confidence: 94%
“…The feed point location to match with 50 co-axial feed was computed to be 3.9 cm from the vertex using improved linear transmission line model [6]. The measured bandwidth was 40 MHz at 1.650 GHz against the theoretical value of 38 MHz at 1.655 GHz.…”
Section: Hybrid-coupled Etmsamentioning
confidence: 99%
“…A single ITMSA was first fabricated with reduced side length a = 5:25 cm with height = 5 cm, which is same as that of the ETMSA. For the feed point at x = 1:8 cm, the measured and calculated resonance frequencies using improved linear transmission line method [6] are 1.695 and 1.680 GHz, respectively, and the corresponding bandwidths are 39 and 36 MHz, respectively.…”
Section: Hybrid-coupled Itmsamentioning
confidence: 99%
“…Basically, there are two models for analysis of such structure including exact and approximate models. The first ones such as method of moments (MoM) [3] on one hand lead to accurate predictions, but they are complex and time consuming specially over wide frequency band, the second ones such as transmission line model (TLM) [4][5][6] on the other hand is simple, but leads to considerably errors in wide frequency band. To remove the above drawbacks, intelligent models such as neural networks (N.N) and neural-fuzzy systems (N.FS) [7][8][9] can be used.…”
Section: Introductionmentioning
confidence: 99%