CVITAPOct 24, 2013

Two Dimensional Array Imaging with Beam Steered Data

arXiv:1310.6719v228 citations
Originality Incremental advance
AI Analysis

This work addresses imaging challenges in millimeter wave applications, but it appears incremental as it builds on known techniques with specific improvements.

The paper tackles millimeter wave imaging of 2D objects by proposing a reconstruction method using narrowband waveforms and 2D beam steering, which offers better noise performance compared to existing methods like switched array systems.

This paper discusses different approaches used for millimeter wave imaging of two-dimensional objects. Imaging of a two dimensional object requires reflected wave data to be collected across two distinct dimensions. In this paper, we propose a reconstruction method that uses narrowband waveforms along with two dimensional beam steering. The beam is steered in azimuthal and elevation direction, which forms the two distinct dimensions required for the reconstruction. The Reconstruction technique uses inverse Fourier transform along with amplitude and phase correction factors. In addition, this reconstruction technique does not require interpolation of the data in either wavenumber or spatial domain. Use of the two dimensional beam steering offers better performance in the presence of noise compared with the existing methods, such as switched array imaging system. Effects of RF impairments such as quantization of the phase of beam steering weights and timing jitter which add to phase noise, are analyzed.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes