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.