Optimal radar pulse scheduling using a neural network

• Published in: IEEE International Conference on Neural Networks, 1994 Vol. 7; pp. 4588 - 4591 vol.7
• Main Authors: Izquierdo-Fuente, A., Casar-Corredera, J.R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1994
• Subjects: Delay effects; Interleaved codes; Neural networks; Phased arrays; Radar antennas; Radar tracking; Space vector pulse width modulation; Surveillance; Target tracking; Telecommunication standards
• ISBN: 078031901X; 9780780319011
• DOI: 10.1109/ICNN.1994.375014

In a multifunction radar, the maximum number of targets which can be managed (maintain their tracks) is one of the main performance figures. The interleaving algorithms exploit the dead times between the transmitted and the received pulses to allocate new tracking tasks (transmit and receive pulses) thus increasing the capacity of the system. Generally speaking, the interleaving of N targets is a complex problem (NP-complete type) and sub-optimal solutions are usually employed to satisfy the real-time constraints of the radar system. In this paper we design an optimal interleaving algorithm based on a Hopfield network. We describe the general problem, define the network and select the criteria to design the weights. Finally as an example, we simulate a simple scenario with five targets.< >