We investigate a dynamic packet routing approach to ATM switch design using hypercube. An (n+l)-dimensional hypercube is used to implement an NxN switch, where N = 2". Cells arriving at input ports are routed towards their destinations in store-and-forward (SAF) manner. In addition to the SAF buffer, each input/output port has a dedicated buffer. A distributed deflection routing algorithm where the routing priority is based on the age of the cells is developed. An interesting feature of the routing algorithm is that the store-andforward buffers and the input buffers behave as distributed shared-buffer which effectively smooth out uneven traffic. In addition, our routing algorithm does not suffer from the HOL blocking problem as in the conventional inputoutput buffered switch architecture. The processing power of each node in the hypercube scales up by a factor of O(1ogN) as the network size N is increased. Hence, our approach is suitable for implementing large scale ATM switches. Performance of our design is studied via simulation and found to be better than the conventional input-output buffered nonblocking switch architecture.
A modeling procedure which provides an accurate large-signal response for variation in bias, input power level, and fundamental frequency for FET/HEMT transistors is designed. A procedure for measuring the large-signal input response on an easily implemented system is presented. The technique is illustrated by designing a nonlinear PHEMT model, which includes an accurate large-signal input response and works with variations in the aforementioned input conditions.
An experimental in¨estigation of a no¨el compact Wilkinson power di¨ider incorporating a 1-D PBG slow-wa¨e structure, in the form of perforation on the cur¨ed microstrip line itself, is presented. The size of the power di¨ider is reduced by 22% due to the slow-wa¨e effect. The inclusion of the PBG cells does not generate additional insertion loss
AbstmctShadow-feature-enhanced radar detection algorithms potentially allow the probability of target detection to be substantially increased when a target casts a radar shadow across a region of clutter beyond it. However, when the length of the radar shadow is not correctly known, much of the potential performance gain may be lost. We demonstrate a method for estimating the length of the radar shadow using a simple fuzzy system. We apply the shadow length estimation to the shadowfeature-enhanced MGCFAR detector, showing that its performance can be greatly improved when t h e shadow length is not known a priori.
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