Deterministic Methods to Improve the Field-of-View for Direction Finding Using Sparse Digital Arrays
Available at: https://digitalcommons.calpoly.edu/theses/3183
Date of Award
12-2025
Degree Name
MS in Electrical Engineering
Department/Program
Electrical Engineering
College
College of Engineering
Advisor
Payam Nayeri
Advisor Department
Electrical Engineering
Advisor College
College of Engineering
Abstract
Direction finding algorithms are used with digital phased arrays to determine the incoming angle of arrival (AoA) of an incident signal. These algorithms, and direction finding as a whole, have a wide range of civilian and military applications from radar, electronic reconnaissance, mobile communication, et cetera. However, for situations where the spacing between antenna elements needs to be large, gating lobes appear in the radiation pattern of analog arrays. This work demonstrates that for digital beamforming algorithms, the field of view (FoV) of a uniform linear digital array matches the grating lobe free range of a similarly spaced analog array. In this work, FoV refers to the continuous range of values and incident signal can be and still be reliably detected by a direction finding algorithm.
Additionally, this work investigates several array spacing methods to expand the direction FoV of digital arrays for large element spacing. Methods applied to analog arrays, such as random jitter based spacing and low discrepancy sequences are explored. Slight modifications to these approaches result in moderate improvements to the FoV of widely spaced arrays. In contrast to these previous methods, a new Plus One spacing method is proposed and this work demonstrates that it is possible to maintain a full 180 degree FoV even with large minimum or average inter-element spacing.
The results presented in this work demonstrate that deterministic, non-uniform spacing methods can substantially improve the direction-finding performance of sparse arrays when either the minimum or average inter-element spacing is very large.