An Intelligent Algorithm for the Process Section of Radar Surveillance Systems

Journal Title: Journal of Information Systems and Telecommunication - Year 2016, Vol 4, Issue 1

Abstract

In this paper, an intelligent algorithm for clustering, intra-pulse modulation detection and separation and identification of overlapping radar pulse train is presented. In most cases, based only on primary features of incoming radar signals, the modern electronic intelligence system cannot recognize the different devices of the same type or class. A very important role is played by Measurement and Signature Intelligence. A radar intercept receiver passively collects incoming pulse samples from a number of unknown emitters. The information such as Pulse Repetition Interval (PRI), Angle of Arrival (AoA), Pulse Width (PW), Radio Frequencies (RF), and Doppler shifts are not usable. In the proposed algorithm, for clustering of overlapping pulses received from self-organization neural network SOFM (due to its high accuracy in comparison with other neural networks, such as CLNN and neural networks (Fuzzy ART), and for detecting intra-pulse modulation type, matrix method, and for identifying the radar type, RBF neural network have been used. The simulation results of the proposed algorithm shows that in the presence 5% noise and 5% missing pulse, the accuracy of the clustering part of the proposed algorithm is equivalent to 91/8%, intra-pulse modulation recognition accuracy is 98%, the detection accuracy is 2/99%, and the total output of the algorithm precision is 89/244%, respectively.

Authors and Affiliations

Habib Rasi

Keywords

Related Articles

Data Aggregation Tree Structure in Wireless Sensor Networks Using Cuckoo Optimization Algorithm

Wireless sensor networks (WSNs) consist of numerous tiny sensors which can be regarded as a robust tool for collecting and aggregating data in different data environments. The energy of these small sensors is supplied by...

Application of Curve Fitting in Hyperspectral Data Classification and Compression

Regarding to the high between-band correlation and large volumes of hyperspectral data, feature reduction (either feature selection or extraction) is an important part of classification process for this data type. A vari...

Language Model Adaptation Using Dirichlet Class Language Model Based on Part-of-Speech

Language modeling has many applications in a large variety of domains. Performance of this model depends on its adaptation to a particular style of data. Accordingly, adaptation methods endeavour to apply syntactic and s...

A New Architecture for Intrusion-Tolerant Web Services Based on Design Diversity Techniques

Web services are the realization of service-oriented architecture (SOA). Security is an important challenge of SOAP-based Web services. So far, several security techniques and standards based on traditional security mech...

Low Complexity Median Filter Hardware for Image Impulsive Noise Reduction

Median filters are commonly used for removal of the impulse noise from images. De-noising is a preliminary step in online processing of images, thus hardware implementation of median filters is of great interest. Hence,...

Download PDF file
  • EP ID EP184537
  • DOI 10.7508/jist.2016.01.002
  • Views 120
  • Downloads 0

How To Cite

Habib Rasi (2016). An Intelligent Algorithm for the Process Section of Radar Surveillance Systems. Journal of Information Systems and Telecommunication, 4(1), 11-18. https://europub.co.uk/articles/-A-184537