A radar electronic support measures (ESM) system performs the functions of threat detection and area surveillance to determine the bearing and the identity of the surrounding radar emitters. The received pulses arc sorted and segregated into a number of deinterleaved radar cells depending on their measured parameters. The parameters of the deinterleaved radar cells will be submitted to the threat library of the electronic warfare (EW) system to be compared with the stored parameters of known radars to identify the intercepted radars. Consequently the appropriate actions could be taken against the identified radars. However, if the ESM system does not work properly, a number of false radars will be generated and some of the military resources may be used against them. This paper proposes a new approach of performing the deinterleaving of radar pulses and identifying their corresponding radars in one step. The proposed approach can successfully identify radars whose angle of arrival (AOAs) are very close and their pulses are merged into a single cell. Moreover, the proposed approach can be applied as an integral part of the adaptive deinterleaving algorithm to prevent the ESM system from taking actions against false radars and consequently avoid the waste of the available resources.