Abstract
In this paper we describe the main tasks of ground surveillance radars for security and perimeter protection and targets detection. Our goal is to provide a balanced and comprehensive database to enable reproducible research results in the field of classification of ground moving targets (pattern recognition). Also, in this paper, we consider received radar echoes data of ground moving targets, and corresponding signals in time – frequency domain using spectrogram and cepstrum. The database, noted as RadEch Database, containing radar echoes from various targets. The objective of the paper is to identify and validate the intrinsic features characterizing the different classes of targets, and subsequently extract salient features for classification.
Highlights
The main tasks of ground surveillance radars for defence and specific perimeter protection are detection and classification of ground moving targets
Due to the above mentioned, in the most applications of ground surveillance radars, moving targets classification is performed using their transformation of electro magnetic (EM) signals to acoustic in aim to estimate audio-Doppler signature
Many current radar-based classification systems employ some type of Doppler or Fourier-based processing, followed by spectrogram and gait analysis to classify detected targets
Summary
The main tasks of ground surveillance radars for defence and specific perimeter protection are detection and classification of ground moving targets This process usually takes electro magnetic (EM) radars as the base sensors and Doppler effect to estimate radial velocities. Due to the above mentioned, in the most applications of ground surveillance radars, moving targets classification is performed using their transformation of EM signals to acoustic in aim to estimate audio-Doppler signature. Many current radar-based classification systems employ some type of Doppler or Fourier-based processing, followed by spectrogram and gait analysis to classify detected targets. The basic goal of this paper is presentation of autonomous measured data base and an appropriate method of signal processing for targets recognition, tracked by EM radar, linked with a audio sensor to the end user, as the base for digitalization in a further automatic awareness system
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