Abstract
In the paper, we apply tuning-space mapping to multi-objective synthesis of a filtering antenna. The an- tenna is going to be implemented as a planar dipole array with serial feeding. Thanks to the multi-objective approach, we can deal with conflicting requirements on gain, imped- ance matching, side-lobe level, and main-lobe direction. MOSOMA algorithm is applied to compute Pareto front of optimal solutions by changing lengths of dipoles and pa- rameters of transmission lines connecting them into a se- rial array. Exploitation of tuning space mapping signifi- cantly reduces CPU-time demands of the multi-objective synthesis: a coarse optimization evaluates objectives using a wire model of the filtering array (4NEC2, method of moments), and a fine optimization exploits a realistic pla- nar model of the array (CST Microwave Studio, finite inte- gration technique). The synthesized filtering antenna was manufactured, and its parameters were measured to be compared with objectives. The number of dipoles in the array is shown to influence the match of measured param- eters and objectives.
Highlights
In communication engineering, a transmit antenna can be understood as a two-port network which transforms a guided wave on an input port to a radiated wave on an output port
Reflection coefficient at the input S11 is related to the power reflected back to the source by impedance mismatch of the input port
Transmission coefficient S21 is related to the power transmitted from an input port to an output port of the network
Summary
A transmit antenna can be understood as a two-port network which transforms a guided wave on an input port to a radiated wave on an output port. In [5] and [6], specific planar radiators are synthesized to obtain a prescribed frequency response of reflection coefficient at the input of the antenna. An output port of the filter corresponds to the radiation of the antenna in main lobe direction. In the role of frequency filter, the antenna array is described by frequency response of reflection coefficient as the first objective and frequency response of gain in the main-lobe direction (an equivalent of the transmission coefficient) as the second objective. Spatial properties of the antenna can be described by frequency response of sidelobe level as the third objective and deflection of the main-lobe direction as the fourth objective. The design process presented in this paper meets two radiation objectives (maximum sidelobe level, minimum main-lobe deflection) and two filtering objectives (maximum main-lobe gain, minimum reflection coefficient) together.
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