# An extreme bit-rate reduction scheme for 2D radar localization

## TL;DR

This paper proposes a novel 2D radar localization method that significantly reduces hardware and bit-rate requirements by dropping one IQ channel per antenna, while still accurately recovering multiple target positions.

## Contribution

It introduces a new scheme that leverages signal structure to enable target localization with only one IQ channel per antenna, advancing hardware efficiency in radar systems.

## Key findings

- Effective target localization with reduced hardware complexity
- Maintains accuracy under severe bit-rate constraints
- Simulation results demonstrate feasibility and limitations

## Abstract

In this paper, we further expand on the work in [1] that focused on the localization of targets in a 2D space using 1-bit dithered measurements coming from a 2 receiving antennae radar. Our aim is to further reduce the hardware requirements and bit-rate, by dropping one of the baseband IQ channel from each receiving antenna. To that end, the structure of the received signals is exploited to recover the positions of multiple targets. Simulations are performed to highlight the accuracy and limitations of the proposed scheme under severe bit-rate reduction.