Interference Detection and Exploitation for Multi-User Radar Sensing

TL;DR

This paper presents a novel interference detection and exploitation method for multi-user radar sensing in integrated wireless networks, improving accuracy by leveraging interference signals.

Contribution

It introduces a statistically rigorous interference detection algorithm and an angle estimation method that exploits interference, enhancing sensing performance in shared spectrum scenarios.

Findings

Reliable interference detection demonstrated in numerical experiments

Delay estimation error approaches Cramér-Rao lower bound

Angle estimation benefits from interference exploitation

Abstract

Integrated sensing and communication is a key feature in next-generation wireless networks, enabling joint data transmission and environmental radar sensing on shared spectrum. In multi-user scenarios, simultaneous transmissions cause mutual interference on overlapping frequencies, leading to spurious target detections and degraded sensing accuracy. This paper proposes an interference detection and exploitation algorithm for sensing using spectrally interleaved orthogonal frequency division multiplexing. A statistically rigorous procedure is introduced to detect interference while controlling the familywise error rate. We propose an algorithm that estimates the angle by exploiting interference, while estimating the delay by avoiding the interference. Numerical experiments demonstrate that the proposed method reliably detects interference, and that the delay and angle estimation error approaches the Cram\'er-Rao lower bound.