Title :
Refocusing Through Building Walls Using Synthetic Aperture Radar
Author :
Dehmollaian, Mojtaba ; Sarabandi, Kamal
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI
fDate :
6/1/2008 12:00:00 AM
Abstract :
Through-wall imaging/sensing using a synthetic aperture array technique is studied by employing ultrawideband antennas and for wide incidence angles. The propagation through building walls, such as brick and poured concrete in response to point sources near the walls, is simulated by using high-frequency methods. Reciprocity is used to find the responses of point targets behind walls, which are then used to simulate the synthetic aperture radar (SAR) imaging through the walls. The effect of building walls on the target-image distortions is investigated by simulations and measurements. It is shown that by using the idea of match filtering, the effect of the wall can be compensated for, and the point target response can be reconstructed, provided that the wall parameters are known. An optimization method based on minimization of squared error in the SAR image domain within an area confined within the expected point-spread function is used to estimate the wall parameters and sharpen the image simultaneously. A controlled experiment within the laboratory environment is performed to verify the methods presented. It is shown that for an ultrawideband system operating over a frequency band of 1-3 GHz, highly distorted images of two point targets in close proximity of each other behind a wall can be resolved after refocusing. A dual-frequency synthetic method is also presented that can improve the cross-range resolution of the refocused image.
Keywords :
radar signal processing; radiowave propagation; remote sensing by radar; synthetic aperture radar; building walls; dual-frequency synthetic method; match filtering; point-spread function; radar refocusing; synthetic aperture radar; target-image distortions; through-wall imaging; through-wall sensing; ultrawideband antennas; Remote sensing; synthetic aperture imaging;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2008.916212