A Novel Neural Network Architecture for Radar Clutter Classification

Date

2020-01-01

Author

Eraslan, Berna
Güvensen, Gökhan Muzaffer
Tanık, Yalçın

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

188
views

0
downloads

In recent years, potential capabilities of modern radars have become tremendous, with rapid advances in electronics and software technologies. If the radar system processes received echoes based on clutter characteristics, detection performance significantly improves. To classify clutters, neural network structures are studied. A problem specific architecture, specialized in clutter classification, is designed. The design procedure of the neural network is explained with necessary theoretical background information. The performance of the network is illustrated with experimental results.

URI

https://hdl.handle.net/11511/69733

DOI

https://doi.org/10.1109/sami48414.2020.9108755

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A Flexible semantic service composition framework for pervasive computing environments Özpınar, Mustafa; Eren, Pekin Erhan; Department of Information Systems (2014) With the advances in technology, high-speed connections, powerful and low cost devices have become available. İt is estimated that there will be tens of billions of devices connected to the İnternet by 2020. However, for the effective use of such an outstanding number of devices, they should be able to communicate with each other in different scenarios. A commonly agreed structure should be adopted to overcome the communication problem of heterogeneous devices. Web of Things (WoT) is a vision about quickly ...
A novel user activity prediction model for context aware computing systems Peker, Serhat; Koçyiğit, Altan; Department of Information Systems (2011) In the last decade, with the extensive use of mobile electronic and wireless communication devices, there is a growing need for context aware applications and many pervasive computing applications have become integral parts of our daily lives. Context aware recommender systems are one of the popular ones in this area. Such systems surround the users and integrate with the environment; hence, they are aware of the users' context and use that information to deliver personalized recommendations about everyday ...
A Test Setup for Evaluating Long-term Measurement Characteristics of Optical Mouse Sensors Kanburoglu, Furkan A; Dölen, Melik; Koku, Ahmet Buğra (2007-06-01) Due to significant advancements in optical navigation technology, optical mouse sensors (OMS) are increasingly employed as low-cost motion sensora in personal computing and robot navigation. This paper proposes a new test bed to study the long-term measurement characteristics of emerging OMS devices. With the utilization of this set-up, the attributes of a high-resolution OMS (Agilent ADNS-2051) are investigated under various critical operating conditions like changing surface velocity and the pattern. The ...
A conceptual evaluation of frequency diverse arrays and novel utilization of LFMCW Eker, Taylan; Demir, Şimşek; Department of Electrical and Electronics Engineering (2011) Phased array based systems have extending applications in electronic warfare, radio astronomy, civilian applications with technological advancements. The main virtue offered by these systems is the creation of agile beams with utilization of phase shifting or delay elements. In fact, the desire for flexible steering comes with a cost. Frequency Diverse Array (FDA) concept is another approach to beam steering problem. In this context, the subsequent antenna elements are fed with stepped discrete frequencies ...
A complex event processing framework implementation using heterogeneous devices in smart environments Kaya, Muammer Özge; Eren, Pekin Erhan; Department of Information Systems (2012) Significant developments in microprocessor and sensor technology make wirelessly connected small computing devices widely available; hence they are being used frequently to collect data from the environment. In this study, we construct a framework in order to extract high level information in an environment containing such pervasive computing devices. In the framework, raw data originating from wireless sensors are collected using an event driven system and converted to simple events for transmission over a...

Citation Formats

B. Eraslan, G. M. Güvensen, and Y. Tanık, “A Novel Neural Network Architecture for Radar Clutter Classification,” 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69733.