Radar electronic support measures (ESM) system are responsible of threat detection and area surveillance to determine the identity and bearing of the surrounding active emitters. The high arrival rate of radar pulses in dense emitter environments demands fast automatic processing of arriving pulses so that the ESM system can fulfill its functions properly in real time. Yet, the performance analysis of automatic ESM system is usually encountered with the difficulty that both pulse arrivals and widths can be specified only probabilistically [1,2,3]. The success of Queueing theory [4,5] in many applications such as computer communication networks and flow-control has encouraged designers to utilize queueing theory in qualifying and judging the performance of automatic ESM systems in dense emitter environments. The queueing behavior of these systems is analytically evaluated in this paper under different service disciplines and the results are validated by elaborating computer simulations. The analysis involves statistical modeling of arrival and departure processes as well as distribution of service times. It permits estimating the blocking probability due to high arrival rates of intercepted radar pulses or due to limited speed of the deinterleaver processor. The analysis also indicates some system configuration trade-offs.