Parameter order selection of autoregressive model for classification of ground surveillance radar targets

Dimitrije Bujakovic,Ilenko Andric,Oban Bondzulic,Orin Mikluc

doi:10.5937/str1602003b

Abstract

In this research the order selection of autoregressive model parameters for classification of signals from the ground surveillance radar audio-output is considered. For this purpose, a measure based on maximal separability between used radar classes (clutter, person walking, person running, group of persons walking, group of persons running, vehicle) is suggested. Determined order of the autoregressive model is compared to the information criterion proposed by Akaike for different used windows. After the feature reduction of used real radar Doppler echo signals, it is showed that the proposed measure determines as optimal significantly lower order with a higher separability between used classes of radar targets.

Highlights

ONE of the main tasks of using sensors in military application is their application in the battlefield situational awareness
Autoregressive parameters of real ground surveillance radar echo signals are chosen as a feature for classification of these signals
In this research a new measure for autoregressive parameter order selection based on maximal distance between different classes of radar targets is proposed

Summary

Introduction

ONE of the main tasks of using sensors in military application is their application in the battlefield situational awareness. In [9], a fuzzy system for classification of vehicles and persons who have moved in the ground surveillance radar line-of-sight is projected Inputs in this system were central Doppler frequency and bandwidth around it. As an input in neural network for classification of the ground surveillance radar signals, in [16], the autoregressive parameters (AR) of signal from radar audio-output are used. In this research a new measure for the order selection of autoregressive parameters is proposed in order to perform classification. This measure is based on the scattered measures.

Database of radar signals

Order selection of the autoregressive parameters

Results

Conclusion