Improving Pulse-Compression Weather Radar via the Joint Design of Subpulses and Extended Mismatch Filter

TL;DR

This paper proposes a joint design of subpulse codes and an extended mismatch filter for weather radar pulse compression, significantly reducing sidelobes and improving reflectivity estimation accuracy.

Contribution

It introduces a novel joint design method using ADMM for pulse compression in weather radar, enhancing SNR and estimation precision.

Findings

Achieves low sidelobes in pulse compression

Improves meteorological reflectivity estimation accuracy

Demonstrates effectiveness through experimental results

Abstract

Pulse compression can enhance both the performance in range resolution and sensitivity for weather radar. However, it will introduce the issue of high sidelobes if not delicately implemented. Motivated by this fact, we focus on the pulse compression design for weather radar in this paper. Specifically, we jointly design both the subpulse codes and extended mismatch filter based on the alternating direction method of multipliers (ADMM). This joint design will yield a pulse compression with low sidelobes, which equivalently implies a high signal-to-interference-plus-noise ratio (SINR) and a low estimation error on meteorological reflectivity. The experiment results demonstrate the efficacy of the proposed pulse compression strategy since its achieved meteorological reflectivity estimations are highly similar to the ground truth.