Project Info
*Design and Optimization of Sparse Antenna Arrays
Payam Nayeri
pnayeri@mines.edu
Antennas have long been used in a variety of applications such cellular, satellite, and radar communications. As more of the world becomes wirelessly connected, the need for low-cost antenna systems becomes crucial. An intuitive approach to manufacturing cheaper antenna arrays is to simply reduce the number of radiating elements in an antenna array. However, this comes at the cost of losing desired radiation characteristics. In order to retain optimal radiation characteristics while still providing a cost-effective solution, the excitations and geometry of the array must be carefully considered.
More Information:
Grand Challenge: Restore and improve urban infrastructure
1. Constantine A. Balanis: “Antenna Theory, Analysis and Design”, John Wiley & Sons, Inc., 2nd ed.
2. Robert J. Mailloux, Phased Array Antenna Handbook, 3rd Edition, Artech House, 2017.
3. F. Zardi, P. Nayeri, P. Rocca, and R. L. Haupt, “Artificial intelligence for adaptive and reconfigurable antenna arrays,” IEEE Antennas Propag. Magazine, 2021.
Primary Contacts:
Payam Nayeri – pnayeri@mines.edu
Student Preparation
Qualifications
Intermediate programming skills in Matlab. Basic understanding of antennas and electromagnetics.
TIME COMMITMENT (HRS/WK)
about 7 hours per week.
SKILLS/TECHNIQUES GAINED
The student will learn how to create and interpret antenna radiation patterns and understand how changing certain antenna parameters affects these patterns. Moreover the student will become familiar with low-discrepancy sampling techniques and guided random search optimization algorithms. Additionally, they will learn how to use Matlab to design and model antenna arrays.
MENTORING PLAN
The faculty will do the majority of technical planning/discussions/analysis with the MURF student. The student will meet with the faculty once a week to discuss the progress and receive help and support with regards to any difficulties in accomplishing the tasks.
PREFERRED STUDENT STATUS
Junior
Senior