The First Airborne Experiment of Sparse Microwave Imaging: Prototype System Design and Result Analysis

TL;DR

This paper presents the first airborne experiments of sparse microwave imaging using a specially designed prototype radar system, demonstrating improved imaging quality and reduced sampling rates through novel hardware and signal processing techniques.

Contribution

It introduces the design and implementation of the first prototype sparse microwave imaging radar system and validates its effectiveness through airborne experiments.

Findings

Successful first sparse microwave image obtained from airborne experiment.

Analysis of system performance under various sparsities, sampling rates, and SNRs.

Use of 3D phase transit diagram for performance evaluation.

Abstract

In this paper we report the first airborne experiments of sparse microwave imaging, conducted in September 2013 and May 2014, using our prototype sparse microwave imaging radar system. This is the first reported imaging radar system and airborne experiment that specially designed for sparse microwave imaging. Sparse microwave imaging is a novel concept of radar imaging, it is mainly the combination of traditional radar imaging technology and newly developed sparse signal processing theory, achieving benefits in both improving the imaging quality of current microwave imaging systems and designing optimized sparse microwave imaging radar system to reduce system sampling rate towards the sparse target scenes. During recent years, many researchers focus on related topics of sparse microwave imaging, but rarely few paid attention to prototype system design and experiment. We introduce our prototype sparse microwave imaging radar system, including its system design, hardware considerations and signal processing methods. Several design principles should be considered during the system designing, including the sampling scheme, antenna, SNR, waveform, resolution, etc. We select jittered sampling in azimuth and uniform sampling in range to balance the system complexity and performance. The imaging algorithm is accelerated $\ell_q$ regularization algorithm. To test the prototype radar system and verify the effectiveness of sparse microwave imaging framework, airborne experiments are carried out using our prototype system and we achieve the first sparse microwave image successfully. We analyze the imaging performance of prototype sparse microwave radar system with different sparsities, sampling rates, SNRs and sampling schemes, using three-dimensional phase transit diagram as the evaluation tool.