On-line tracking of manoeuvring and ballistic targets via angle of arrival and Doppler measurements taken by a transmitter-independent receiver network using first order recurrent linear neural networks

Authors:
Nikos J. Farsaris;Thomas D. Xenos;Peter P. Stavroulakis
Affiliations:
Telecommunications Department, Electrical and Computer Engineering Faculty, Aristotle University of Thessaloniki, Thessaloniki, Greece;Telecommunications Department, Electrical and Computer Engineering Faculty, Aristotle University of Thessaloniki, Thessaloniki, Greece;Electronics and Computer Engineering Department, Technical University of Crete, Crete, Greece
Venue:
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
Year:
2005

Citing 1
Cited 1

Neural Networks for Optimization and Signal Processing

Neural Networks for Optimization and Signal Processing

Angle of arrival target tracking and velocity vector determination using SVD method on passive coherent multistatic radar

ICCOM'08 Proceedings of the 12th WSEAS international conference on Communications

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Abstract

A totally passive multistatic radar or Transmitter-Independent Receiver Network (TIRN) [1], can be defined as a number of independent bistatic receivers [2], connected to a communication network, in order to detect and track targets in their coverage area using the signal(s) of non-cooperative transmitter(s). In this paper, an Angle of Arrival (AOA) method of transmitter and target detection is investigated. Linear systems of equations are extracted, and then solved by recurrent Artificial Neural Networks (ANN) for detection and tracking of moving and ballistic targets. These linear systems are often over determined by using a redundant number of receivers in order to achieve a minimal false alarm probability and increase the survivability of the TIRN. Finally it is shown that practical ANN designs are attractive and simple solutions for an AOA based TIRN for moving target tracking purposes, combining fast and robust convergence, ease of design and construction and - in case of adequate redundancy - adequate survivability.