GLRT Detector for Aspect-Dependent Fluctuating Targets Using Distributed mmWave MIMO Radar Sensors

This paper addresses the problem of detecting fluctuating targets using distributed mmWave radar sensors designed for indoor monitoring scenarios. The proposed detector is derived based on the Generalized Likelihood Ratio Test (GLRT) aiming to estimate the fluctuation parameters of the targets at each sensor using multiple chirps. The resulting joint test is a weighted sum of individual tests applied to the square law detector output of each sensor. Weights are proportional to local Signal-to-Noise Ratios (SNR) at each sensor, which contrast extremely due to the variations in aspect angles and path losses for a single cell under test (CUT). Using Monte-Carlo simulations, we validate the performance of the proposed detector outperforming conventional detection methods that employ non-coherent integration of the chirps and aggregation of the tests for all sensors.