Name
Abstract | ||
|---|---|---|
Accurate target localization is an important task in various commercial and military applications. One way to achieve this goal is to use the time-of-arrival (TOA) or time-delay-of-arrival (TDOA) information observed at multiple distributed sensors. On the other hand, there is a great need to use moving sensors to form a radar platform with synthetic apertures. In this paper, we consider the problem of target localization based on the range information estimated from two-way time-of-flight (TW-TOF) at multiple synthetic array locations, where the position of these synthetic array locations is subject to certain random errors. The nonconvex estimation problem is approximated by a convex optimization problem using the semidefinite relaxation (SDR) approach. Simulation results show that the proposed estimator provides mean square position error performance close to the Cramer-Rao lower bound. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICASSP.2009.4960057 | ICASSP |
Keywords | Field | DocType |
synthetic aperture radar,military application,square position error performance,optimization methods,accurate target localization,convex optimization problem,cramer-rao lower bound,semidefinite relaxation,synthetic array location,radar target recognition,time-delay-of-arrival estimation,convex programming,range information,radar signal processing,array signal processing,target localization,robust target localization,multiple synthetic array location,position estimation,moving synthetic aperture radar platform,concave programming,synthetic aperture,semidefinite relaxation approach,random error,nonconvex estimation problem,certain random error,distributed sensors,radar platform,multiple distributed sensor,mean square position error method,time-of-arrival estimation,two-way time-of-flight estimation,mean square error methods,maximum likelihood estimation,data mining,robustness,sensors,cramer rao lower bound,least squares approximation,time of flight,convex optimization,radar,noise,time of arrival,optimization | Radar,Cramér–Rao bound,Mathematical optimization,Upper and lower bounds,Synthetic aperture radar,Computer science,Robustness (computer science),Multilateration,Convex optimization,Estimator | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-2354-5 | 978-1-4244-2354-5 | 3 |
PageRank | References | Authors |
0.47 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yimin Zhang | 1 | 1536 | 130.17 |
| Kehu Yang | 2 | 14 | 2.47 |
| Moeness Amin | 3 | 2909 | 287.79 |