# Adaptive detection and localization exploiting the IEEE 802.11ad standard

## TL;DR

This paper presents an adaptive method for detecting and localizing multiple targets using the sector level sweep of IEEE 802.11ad, effectively handling interference and near-far problems at mmWave frequencies.

## Contribution

It introduces a novel adaptive detection and localization procedure that exploits IEEE 802.11ad's sector sweep for multi-target radar applications, improving robustness and performance.

## Key findings

- Robust detection and localization performance close to single-target scenarios.
- Effective suppression of interference from stronger targets.
- Performance approaches Cramér-Rao bounds in simulations.

## Abstract

In this work, we exploit the sector level sweep of the IEEE 802.11ad communication standard to implement an opportunistic radar at mmWaves and derive an adaptive procedure for detecting multiple targets (echoes) and estimating their parameters. The proposed detector/estimator extracts the prospective echoes one-by-one from the received signal, after removing the interference caused by the previously detected (stronger) targets. Examples are provided to assess the system performance, also in comparison with the canonical matched-filter peak-detector and the Cram\'er-Rao bounds. Results indicate that the proposed method is robust against the signal spillover and the near-far problem caused by the imperfect auto-correlation of the probing signal and, for the same probability of false alarm, grants detection and localization performances close to those previously obtained in a simplified single-target scenario.