Tracking a Plane Wave Direction using Sparse Arrays with an Extended Kalman Filter
Document Type
Conference Proceeding
Date of Original Version
1-1-2024
Abstract
This work focuses on estimating the direction of arrival of a plane wave from a moving source using time domain snapshots captured by a linear array. We employ an extended Kalman filter by linearizing the time domain measurement model. We consider the performance of a full array, which serves as a benchmark for comparison with three popular sparse arrays: coprime, nested, and shift-invariant sparse arrays. The motivation for using such sparse arrays is to reduce overall cost, sensor count, and computation burden. The simulation results demonstrate that sparse arrays achieve comparable accuracy to full arrays of equivalent aperture. Among the sparse arrays studied, the coprime array exhibits the highest performance, with a mean squared error closest to that of the full array.
Publication Title, e.g., Journal
Proceedings of the IEEE National Aerospace Electronics Conference Naecon
Citation/Publisher Attribution
Rahman, Showrov, and Kaushallya Adhikari. "Tracking a Plane Wave Direction using Sparse Arrays with an Extended Kalman Filter." Proceedings of the IEEE National Aerospace Electronics Conference Naecon (2024). doi: 10.1109/NAECON61878.2024.10670645.