Track-to-Track Association Technique in Radar Network in the Presence of Systematic Errors
نویسندگان
چکیده
منابع مشابه
Track-to-Track Association Technique in Radar Network in the Presence of Systematic Errors
The presence of systematic measuring errors complicates track-to-track association, spatially separates the tracks that correspond to the same true target, and seriously decline the performances of traditional track-to-track association algorithms. Consequently, the influence of radar systematic errors on tracks from different radars, which is described as some rotation and translation, has bee...
متن کاملanalysis of power in the network society
اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولcollocation errors in translations of the holy quran
the present study aims at identifying, classifying and analyzing collocation errors made by translators of the holy quran into english.findings indicated that collocationally the most acceptablt translation was done by ivring but the least appropriate one made by pickthall.
A Neural Network Based Approach for ESM/Radar Track Association
In this paper, a neural network based ESM/radar track association algorithm is presented. The algorithm consists of a feed-forward neural network and a probability combiner. The neural network classifier is trained using the radar bearing measurements as well as their time stamps to approximate the a posteriori probabilities. The ESM bearing measurements along with their time stamps are fed to ...
متن کاملTrack-to-Track Association and Bias Removal
This paper develops methods for associating two sets of sensor tracks in the presence of missing tracks and translation bias. Key results include (1) Extension of the Maximum A Posteriori Probability method of matching tracks to use feature information as well as kinematic information; (2) translation bias removal techniques that are computationally tractable for large numbers of tracks, and ef...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Signal and Information Processing
سال: 2013
ISSN: 2159-4465,2159-4481
DOI: 10.4236/jsip.2013.43037