Problem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represented by typical public road transport. The features from raw radar signal were extracted manually ...

In this article, we introduce a frequency-based waveform design to maximize binary target classification. The optimization problems can be solved via optimal solvers available in the literature. presented formulation is applicable classification scenarios where extended frequency responses (TFRs) are complex, random, and normally distributed with unequal mean vectors. However, their covariance ...

Classification of targets by radar has proved to be notoriously difficult with the best systems still yet to attain sufficiently high levels of performance and reliability. In the current contribution we explore a new design of radar based target recognition, where angular diversity is used in a cognitive manner to attain better performance. Performance is benchmarked against conventional class...

Manuscript received November 5, 1998. Manuscript revised January 8, 1999. † The authors are with Niigata University, Niigata-shi, 9502181 Japan. †† The author is with University of Illinois at Chicago, IL, 60607-7018, USA. * Presently, with Fujitsu System Integration Laboratories Ltd. ** Presently, with NEC Saitama Corp. SUMMARY This paper discusses the classification of targets buried in the u...

In this paper, a pattern recognition system is developed for automatic classification of the radar target signals. Feature extraction is an important subset of the pattern recognition system. For feature extraction is used Short Term Fourier Transform (STFT) time-frequency distribution of the pulse radar target signals. Adaptive Network Based Fuzzy Inference System (ANFIS) classifier is used at...

The first RADAR patent was applied for by Christian Huelsmeyer on April 30, 1904 at the patent office in Berlin, Germany. He was motivated by a ship accident on the river Weser and called his experimental system ”Telemobiloscope”. In this chapter some important and modern topics in radar system design and radar signal processing will be discussed. Waveform design is one innovative topic where n...

Abstract: This paper proposes a novel scheme for multi-static passive radar processing, based on soft-input soft-output processing and Bayesian sparse estimation. In this scheme, each receiver estimates the probability of target presence based on its received signal and the prior information received from a central processor. The resulting posterior target probabilities are transmitted to the c...