Woodward-Lawson Method for Linear Array Antennas
Department of Electrical Engineering | Antenna Theory & Design
This virtual laboratory aims to provide undergraduate electrical engineering students with a comprehensive understanding of antenna pattern synthesis using the Woodward-Lawson method. By completing this lab, students will:
The interactive simulation allows students to experiment with different array configurations and immediately observe the effects on the radiation pattern, facilitating a deeper understanding of the Woodward-Lawson synthesis technique.
The Woodward-Lawson method is a sampling technique for synthesizing radiation patterns of linear antenna arrays. It is based on the concept that a desired radiation pattern can be approximated by sampling it at specific points and using these samples to determine the excitation coefficients of the array elements.
For a linear array of N elements equally spaced by distance d, the array factor is given by:
where In are the complex excitation coefficients, k = 2π/λ is the wave number, and θ is the angle from the array axis.
In the Woodward-Lawson method, we sample the desired pattern at M points (usually M = N) corresponding to the directions where the orthogonal beams (sampling functions) have their maxima:
The excitation coefficients are then calculated using the inverse discrete Fourier transform of the sampled pattern values:
where Fd(θm) is the desired pattern value at the sampling angle θm.
The Woodward-Lawson method is widely used for designing antenna arrays with specific pattern requirements, such as shaped beams for satellite communications, radar systems, and wireless networks where controlled radiation patterns are essential.
During the experiment, record the following for each configuration tested:
| Element | Amplitude | Phase (deg) | Normalized |
|---|
Half-Power Beamwidth (HPBW): 25.6°
First Sidelobe Level: -13.2 dB
Directivity: 14.8 dBi
Pattern Error (RMS): 0.08
Your laboratory report should be comprehensive and include the following sections: