Subspace-Based Detector For Distributed Mmwave Mimo Radar Sensors
Moein Ahmadi, Mohammad Alaee-Kerahroodi, M. R. Bhavani Shankar, Björn E. Ottersten
Abstract
Driven by emerging applications, mmWave radars are increasingly being integrated into indoor scene monitoring systems due to their ability to provide high accuracy range, velocity, and angle information of the objects. This paper addresses the problem of moving target detection in a connected, distributed Multiple-Input Multiple-Output (MIMO) radar sensor network designed as an indoor scene monitoring system. We propose a general signal model for distributed connected MIMO radar sensors that collect unwanted and interference signals in a low-rank subspace based on their angle and Doppler frequency spread with different subspace coefficients. We use Generalized Likelihood Ratio Test (GLRT) for moving target detection and find the best detector while demonstrating that it has a constant false alarm rate. The performance of the proposed detector is validated by Monte-Carlo simulation.
BibTeX
@inproceedings{icassp2023_subspacebaseddet,
title = {Subspace-Based Detector For Distributed Mmwave Mimo Radar Sensors},
author = {Moein Ahmadi and Mohammad Alaee-Kerahroodi and M. R. Bhavani Shankar and Björn E. Ottersten},
booktitle = {ICASSP 2023},
year = {2023}
}