東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Statistical estimation and tracking ...

Yardim, Caglar.

FindBook

Google Book

Amazon

博客來

Statistical estimation and tracking of refractivity from radar clutter.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistical estimation and tracking of refractivity from radar clutter./
作者:	Yardim, Caglar.
面頁冊數:	155 p.
附註:	Advisers: William S. Hodgkiss; Kenneth Kreutz-Delgado.
Contained By:	Dissertation Abstracts International68-01B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3249667

Statistical estimation and tracking of refractivity from radar clutter.
Yardim, Caglar.

Statistical estimation and tracking of refractivity from radar clutter. - 155 p.

Advisers: William S. Hodgkiss; Kenneth Kreutz-Delgado.

Thesis (Ph.D.)--University of California, San Diego, 2007.

In many maritime regions of the world, such as the Mediterranean, Persian Gulf, East China Sea, and the Californian Coast, atmospheric ducts are common occurrences. They result in various anomalies such as significant variations in the maximum operational radar range, creation of regions where the radar is practically blind (radar holes) and increased sea clutter. Therefore, it is important to predict the real-time 3-D environment in which the radar is operating so that the radar operator will at least know the true system limitations and in some cases even compensate for them.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Statistical estimation and tracking of refractivity from radar clutter.
LDR:03536nam 2200313 a 45 001 973978
005 20110928
008 110928s2007 eng d
035 $a (UMI)AAI3249667
035 $a AAI3249667
040 $a UMI $c UMI
100 1 $a Yardim, Caglar. $3 1297918
245 1 0 $a Statistical estimation and tracking of refractivity from radar clutter.
300 $a 155 p.
500 $a Advisers: William S. Hodgkiss; Kenneth Kreutz-Delgado.
500 $a Source: Dissertation Abstracts International, Volume: 68-01, Section: B, page: 0531.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2007.
520 $a In many maritime regions of the world, such as the Mediterranean, Persian Gulf, East China Sea, and the Californian Coast, atmospheric ducts are common occurrences. They result in various anomalies such as significant variations in the maximum operational radar range, creation of regions where the radar is practically blind (radar holes) and increased sea clutter. Therefore, it is important to predict the real-time 3-D environment in which the radar is operating so that the radar operator will at least know the true system limitations and in some cases even compensate for them.
520 $a This dissertation addresses the estimation and tracking of the lower atmospheric radio refractivity under non-standard propagation conditions frequently encountered in low altitude maritime radar applications. This is done by statistically estimating the duct strength (range and height-dependent atmospheric index of refraction) from the sea-surface reflected radar clutter. Therefore, such methods are called Refractivity From Clutter (RFC) techniques. These environmental statistics can then be used to predict the radar performance. The electromagnetic propagation in these complex environments is simulated using a split-step fast Fourier transform (FFT) based parabolic equation (PE) approximation to the wave equation.
520 $a The first part of this thesis discusses various algorithms such as genetic algorithms (GA), Markov chain Monte Carlo samplers (MCMC) and the hybrid GA-MCMC samplers that are used to estimate atmospheric radio refractivity for a given azimuth direction and time. The results show that radar clutter can be a rich source of information about the environment and the techniques mentioned above are used successfully as near real-time estimators for the data collected during the Wallops'98 experiment conducted by the Naval Surface Warfare Center.
520 $a The second part of this dissertation focuses on both spatial and temporal tracking of the 3-D environment. Techniques such as the extended (EKF) and unscented (UKF) Kalman filters, and particle filters (PF) are used for tracking the spatial and temporal evolution of the lower atmosphere. Even though the tracking performance of the Kalman filters was limited for certain duct types such as the surface-based ducts due to the high non-linearity of the split-step FFT PE, they performed well for other environments such as evaporation ducts. On the other hand, particle filters proved to be very promising in tracking a wide variety of scenarios including even abruptly changing environments.
590 $a School code: 0033.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Marine and Ocean. $3 1019064
690 $a 0544
690 $a 0547
710 2 $a University of California, San Diego. $3 1018093
773 0 $t Dissertation Abstracts International $g 68-01B.
790 $a 0033
790 1 0 $a Hodgkiss, William S., $e advisor
790 1 0 $a Kreutz-Delgado, Kenneth, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3249667