Subspace-Based Imaging Using Only Power Measurements

In this paper, we are interested in the high-resolution imaging of an unknown area based on only power measurements of a small number of wireless transceivers located on one side of the unknown area. In order to do so, we propose a framework that achieves a polynomial order reduction in the number of antennas required for high-resolution imaging. More specifically, we show that by spacing the antennas at multiples of the wavelength and applying subspace-based analysis, we can image M targets using only 2M+1 transmit/receive antennas (as compared to the state-of-the-art value of M-2 + 1 antennas). We then validate our framework using simulations in both noise-free and noisy environments.