This paper proposes a feeding network to gain low sidelobe levels for microstrip linear antenna arrays. The procedure to design a feeding network using Chebyshev weighting method will be proposed and presented. As ademonstration, a feeding network for 8×1 elements linear array with Chebyshev distribution weights (preset sidelobelevel of -25 dB) has been designed. | VNU Journal of Science: Comp. Science & Com. Eng., Vol. 33, No. 1 (2017) 16-21 A Feeding Network with Chebyshev Distribution for Designing Low Sidelobe Level Antenna Arrays Tang The Toan1, Nguyen Minh Tran2, Truong Vu Bang Giang2,* 1 University of Hai Duong VNU University of Engineering and Technology, Hanoi, Vietnam 2 Abstract This paper proposes a feeding network to gain low sidelobe levels for microstrip linear antenna arrays. The procedure to design a feeding network using Chebyshev weighting method will be proposed and presented. As ademonstration, a feeding network for 8×1 elements linear array with Chebyshev distribution weights (preset sidelobelevel of -25 dB) has been designed. The unequal T-junction power dividers have been applied in designing the feedingnetwork to guarantee the output powers the same as Chebyshev weights. The obtained results of the amplitudes ateach output port have been validated with theory data. The phases of output signals are almost equal at all ports. Thearray factor of simulated excitation coefficients has been given and compared with that from theory. It is observedthat the sidelobe level can be reduced to -22 dB. The proposed feeding network, therefore, can be a good candidatefor constructing a low sidelobe level linear antenna arrays. Received 24 January 2017; Accepted 27 February 2017 Keywords: Feeding network, Chebyshev distribution, Lowsidelobe. 1. Introduction* weighting method is the most effective and efficient one. There are some common amplitude weighting methods, which are Binomial, Chebyshev, and Taylor [1]. Of three methods, Binomial can help eliminate minor lobes and have no sidelobes, but it is not preferable for large arrays due to high variations in weights [2]. Taylor produces a pattern whose inner minor lobes are maintained at constant level [2]. Whereas Dolph- Tschebyshev (Chebyshev) array provides optimum beamwidth for a specified SLL [1, 2]. Among three methods, Chebyshev arrays can provide better .
