A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Tracking and data association
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Towards radar-enabled sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Collaborative in-network processing for target tracking
EURASIP Journal on Applied Signal Processing
Tracking mobile nodes using RF Doppler shifts
Proceedings of the 5th international conference on Embedded networked sensor systems
ICACC '09 Proceedings of the 2009 International Conference on Advanced Computer Control
IEEE Transactions on Mobile Computing
Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks
IEEE Transactions on Signal Processing
Integrated real-time estimation of clutter density for tracking
IEEE Transactions on Signal Processing
Joint multiple target tracking and classification in collaborative sensor networks
IEEE Journal on Selected Areas in Communications
Surveillance Wireless Sensor Networks: Deployment Quality Analysis
IEEE Network: The Magazine of Global Internetworking
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This paper aims at improving the performance of the track initiation process of a target tracking system in cluttered environments via weighted distance-based M out of N (M/N) track initiation methods. In the generic M/N method, the consecutive detections inside the validation gate are considered with identical weights (M is increased by one) regardless of the location of the detection. However, if the newly detected observations in the validation gate are away from the center of the predicted target position, the observations may not come from a real target, the origin of the measurement may be the clutter. Thus, the initiation counter weight of the observation should be adjusted according to the distance measure while utilizing the M/N method for the track initiation decision. We envisage different weighting schemes to determine the initiation counter weighting value. Consequently, the elliptical weighting scheme in M/N track initiation method shows promising results for cluttered environments in terms of decreasing the false track initiations while sustaining an admissible level of true track initiations.