A Cognitive Sub-Nyquist MIMO Radar Prototype

TL;DR

This paper introduces a cognitive MIMO radar prototype that employs sub-Nyquist sampling in both time and space, enabling efficient target detection with significant bandwidth reduction and real-time processing.

Contribution

It presents the first real-time implementation of a cognitive sub-Nyquist MIMO radar using the Xampling framework for adaptive spectrum sampling.

Findings

Achieved 87.5% reduction in spatio-temporal bandwidth

Successfully recovered target scenes in real-time

Operated effectively at -10 dB SNR

Abstract

We present a cognitive prototype that demonstrates a colocated, frequency-division-multiplexed, multiple-input multiple-output (MIMO) radar which implements both temporal and spatial sub-Nyquist sampling. The signal is sampled and recovered via the Xampling framework. Cognition is due to the fact that the transmitter adapts its signal spectrum by emitting only those subbands that the receiver samples and processes. Real-time experiments demonstrate sub-Nyquist MIMO recovery of target scenes with 87.5% spatio-temporal bandwidth reduction and signal-to-noise-ratio of -10 dB.