DocumentCode :
1219173
Title :
An Approach to Estimating Building Layouts Using Radar and Jump-Diffusion Algorithm
Author :
Nikolic, Marija M. ; Ortner, Mathias ; Nehorai, Arye ; Djordjevic, Antonije R.
Author_Institution :
Dept. of Electr. & Syst. Eng., Washington Univ., St. Louis, MO
Volume :
57
Issue :
3
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
768
Lastpage :
776
Abstract :
Estimating building layouts using exterior radar measurements is a challenging task involving electromagnetic modeling, many unknown parameters, and a limited number of sensors. We propose using the jump-diffusion algorithm as a powerful stochastic tool that can be used to estimate the number of walls, their unknown positions and other parameters. We develop an efficient iterative procedure that first uses low-frequency transmissions to obtain rough estimates of the building layout. These estimates are then used to initialize the estimation at higher frequencies, thus obtaining more accurate results. We show that with proper frequency selection, the building layout can be estimated using radar measurements at only a few frequencies. Numerical examples are used to illustrate the performance of the proposed algorithm in practical situations.
Keywords :
electromagnetic wave scattering; iterative methods; radar applications; stochastic processes; building layout estimation approach; electromagnetic modeling; inverse scattering; iterative procedure; jump-diffusion algorithm; radar measurement; stochastic tool; Buildings; Electromagnetic modeling; Frequency estimation; Image reconstruction; Inverse problems; Iterative algorithms; Radar measurements; Reconstruction algorithms; Stochastic processes; Systems engineering and theory; Building layout estimation; frequency hopping; inverse scattering; jump-diffusion; multiple frequencies; through-the-wall sensing;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2009.2013420
Filename :
4808297
Link To Document :
بازگشت