Clutter Suppression in Bistatic ISAC with Joint Angle and Doppler Estimation

TL;DR

This paper introduces a 2D-rootMUSIC algorithm for static background clutter suppression in ISAC systems, significantly improving sensing accuracy and SCNR in 6G wireless networks with joint angle and Doppler estimation.

Contribution

It proposes a novel 2D-rootMUSIC based method specifically designed for clutter suppression in ISAC, enhancing parameter estimation and SCNR over existing techniques.

Findings

Effective clutter mitigation demonstrated through simulations

Improved parameter estimation accuracy

Significant SCNR enhancement over benchmark methods

Abstract

The coexistence of radar and communications in wireless systems marks a paradigm shift for the sixth-generation (6G) networks. As 6G systems are expected to operate at higher frequencies and employ larger antenna arrays than fifth-generation (5G) systems, they can also enable more accurate sensing capabilities. To this end, the integrated sensing and communication (ISAC) paradigm aims to unify the physical and radio frequency (RF) domains by introducing the sensing functionality into the communication network. However, the clutter poses a challenge, as it can significantly degrade the sensing accuracy in ISAC systems. This paper presents a novel two-dimensional root multiple signal classification (2D-rootMUSIC)-based algorithm for static background clutter suppression. Computer simulation results indicate that the proposed method effectively mitigates the strong background clutter, yields accurate parameter estimation performance, and offers a notable improvement in the signal-to-clutter-and-noise ratio (SCNR), while outperforming the prior-art benchmark methods.