Volume 1, Issue 1, June 2011

Low Power and High Speed Architecture for 32-Bit ALU Design [Download Paper]

Sreenivasa Rao.Ijjada, D.Srinivas and Dr.V.Malleswara Rao

Abstract – Low power and high speed is challenging work in processor design. Implementing power optimization on all components of the processor is a choise.One of the most basic component in the processor is the ALU. The Arithmetic and Logic Unit (ALU) is a combination circuit that performs a number of arithmetic and logical operations within a processor. The most research on the power consumption of circuits has been concentrated on the switching power and the power dissipated by the leakage current has been relatively minor area. In today’s IC design, one of the key challenges is the increase in power dissipation of the circuit which in turn shortens the service time of battery-powered electronics, reduces the long-term reliability of circuits due to temperature-induced accelerated device and interconnects aging processes, and increases the cooling and packaging costs of these circuits. In this paper the main aim is to reduce power dissipation. The architecture of ALU has several implications on power consumption, delay and area. This paper proposes a new design method for 32-bit ALU design, which is low power and high speed compared to general CMOS 32 bit ALU logic. It is based on controlling leakage currents through Leakage Controlled Transistor and calculated the power dissipation, uses TANNER EDA Tools for schematic layout simulation as well as the schematic versus layout comparison. The simulation technology used is MOSIS 250nm.


Optimization of Search Parameters for MPAR
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T Durga Prasad, B.Kiranmai and G.Anitha

Abstract –  Multifunction phased array radars have the potential of directing the electromagnetic radar beam without mechanically adjusting the antenna. And also the beam can be redirected instantaneously towards any location in space. Instantaneous, adaptive beam pointing enables the combination of functions such as tracking, surveillance, and weapon guidance each of which requires access to a shared antenna. Therefore, there is the need to optimize radar resource allocation adaptively according to dynamically changing environments. In this paper, the optimal search is investigated based on the search performance and quantified radar load. Therefore, the overall probability of detection is evaluated to calculate the average probability of track initiation. A novel algorithm for adaptive optimal search is presented and analyzed through simulations.