Compressive Sensing-Based Bandwidth Stitching for Multichannel Microwave Radars

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2020 Jan 30

PMID 31991710

Authors

Paul Berry

Ngoc Hung Nguyen

Hai-Tan Tran

Affiliations

Soon will be listed here.

Abstract

The problem of obtaining high range resolution (HRR) profiles for non-cooperative target recognition by coherently combining data from narrowband radars was investigated using sparse reconstruction techniques. If the radars concerned operate within different frequency bands, then this process increases the overall effective bandwidth and consequently enhances resolution. The case of unknown range offsets occurring between the radars' range profiles due to incorrect temporal and spatial synchronisation between the radars was considered, and the use of both pruned orthogonal matching pursuit and refined l 1 -norm regularisation solvers was explored to estimate the offsets between the radars' channels so as to attain the necessary coherence for combining their data. The proposed techniques were demonstrated and compared using simulated radar data.

References

Cetin M, Karl W . Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization. IEEE Trans Image Process. 2008; 10(4):623-31. DOI: 10.1109/83.913596. View

Vogel C, Oman M . Fast, robust total variation-based reconstruction of noisy, blurred images. IEEE Trans Image Process. 2008; 7(6):813-24. DOI: 10.1109/83.679423. View

Onhon N, Cetin M . A sparsity-driven approach for joint SAR imaging and phase error correction. IEEE Trans Image Process. 2011; 21(4):2075-88. DOI: 10.1109/TIP.2011.2179056. View

Nguyen N, Dogancay K, Tran H, Berry P . An Image Focusing Method for Sparsity-Driven Radar Imaging of Rotating Targets. Sensors (Basel). 2018; 18(6). PMC: 6022193. DOI: 10.3390/s18061840. View