H. R. Bakhshi - , Tarbiat Modarres University
E. Kabir - Electrical and computer Engineering, Tarbiat Modarres University

This paper presents a new algorithm for the deinterleaving of radar signals, based on the direction of arrival (DOA), carrier frequency (RF), and time of arrival (TOA). The algorithm is applied to classic (constant), jitter, staggered, and dwell switch pulse repetition interval (PRI) signals. This algorithm consists of two stages. In the first stage, a Kohonen neural network clusters the received pulses on the basis of frequency and DOA. In this stage radars having the same frequency and DOA, are identified as one class. In the second stage, the number of existing emitters and their PRIs is determined by using TOA information. The algorithm for the deinterleaving uses the information obtained from the previous analysis to reduce the required computation time. The simulation results show that the algorithm is successful in high pulse density environments and for the complex signal types.

RADAR, Kohonen Network, Clustering, PRI, Deinterleaving