Imagine unmanned vehicles arriving behind thick concrete walls. They have no prior knowledge of the area behind these walls. But they are able to see every square inch of the invisible area through the walls, fully discovering what is on the other side with high accuracy. The objects on the other side do not even have to move to be detected. Now, imagine robots doing all these with only WiFi signals and no other sensors. In this project, we have shown how to do this.The approach is simple; much simpler than Synthetic Aperture Radar, which provides nearly photographic quality images by signal processing radar returns. Instead of manipulating the reflected returns from the radar transmitter, they measure signal strength of transmitted signals going through the space and apply simple mathematical functions to the strength before plotting the strength vs. position. It's not intended for imaging behind walls, like a military or police operation looking for people hiding, and doesn't seem like it's fast enough to do that. It's intended for search and rescue operations.
I find it somewhat unusual that Dr. Mostofi's UCSB page shows she has MS and Ph.D. from Stanford in '04 with her BS from Iran's Sharif University of Technology in '97. I didn't think it was feasible to emigrate from Iran these days, but her MS was '99 which pretty much means she started on it almost immediately after completing her BS.
The image quality isn't as good as SAR but I'll bet the hardware is tons cheaper than a SAR or bistatic imaging radar. Cheap, low tech approaches to problems definitely have their place.