Target Detection and Classification Using Tmotes in Realistic Environments (original) (raw)
Related papers
2012
Classification of ground vehicles based on acoustic signals using wireless sensor networks is a crucial task in many applications such as battlefield surveillance, border monitoring, and traffic control. Different signal processing algorithms and techniques that are used in classification of ground moving vehicles in wireless sensor networks are surveyed in this paper. Feature extraction techniques and classifiers are discussed for single and multiple vehicles based on acoustic signals. This paper divides the corresponding literature into three main areas: feature extraction, classification techniques, and collaboration and information fusion techniques. The open research issues in these areas are also pointed out in this paper. This paper evaluates five different classifiers using two different feature extraction methods. The first one is based on the spectrum analysis and the other one is based on wavelet packet transform.
Acoustic Sensor Network for Surveillance and Target Acquisition of Terrestrial Military Operations
2016
The main objective of this work is to present a system that detects and identifies combat vehicles with a wireless sensor network that contains acoustic sensors. The objective is to gather the sound from the combat vehicles, with acoustic sensors in the nodes of the wireless sensor network, perform the classification of the vehicle in the node and then send the packet to the base station using packet routing and data aggregation. The data base of vehicle sounds, drawn from combat vehicles of the Armed Forces, was made by training Gaussian mixture models (GMM) with data that explores the spectral characteristics of the sound, Mel Frequency Cepstral Coefficients (MFCC) and Beats per minute (BPM) were used as observation data. Vehicle detection and identification is performed with a GMM classifier. The NS3 simulator was used to simulate the wireless sensor network and the respective data aggregation and routing. The routing protocol used is DSDV, and it was tested over two different te...