Multipath is exploited to image targets that are hidden due to lack of line of sight (LOS) path in urban environments.
Urban radar scenes include building walls, therefore creating reflections causing multipath returns. Conventional processing via synthetic aperture beamforming algorithms do not detect or localize the target at its true position. To remove
these limitations, two multipath exploitation techniques to image a hidden target at its true location are presented under the assumptions that the locations of the reflecting walls are known and that the target multipath is resolvable and detectable. The first technique directly operates on the radar returns, whereas
the second operates on the traditional beamformed image. Both these techniques mitigate the false alarms arising from the multipath while simultaneously permitting the shadowed target to be detected at its true location. While these techniques are general, they are examined for two important urban radar applications: detecting shadowed targets in an urban canyon, and detecting
shadowed targets around corners.
Funding
The work of P. Setlur and N. Devroye was supported in part by the Air Force Office of Scientific Research (AFOSR) under award
FA9550-10-1-0239. The work of T. Negishi and D. Erricolo was supported in part by the AFOSR under award FA9550-12-1-0174.