VLSI-based Real-time Signal Processing Solution Employing Four-phase Codes for Spread-spectrum Applications

Abstract

Spread-Spectrum applications require a set of sequences with individually peaky autocorrelation and pair-wise cross correlation. Obtaining such sequences is a combinatorial problem. If the autocorrelation and cross correlation are taken in the aperiodic sense, then there are hardly any theoretical aids available. Thus, the problem of signal design referred to above is a challenging problem for which many global optimization algorithms like genetic algorithm, simulated annealing, and tunneling algorithm were reported in the literature. The paper aims at implementation of an efficient VLSI System for the design of an optimal pulse compression codes useful for Spread-Spectrum applications. The proposed VLSI system implements the modified genetic algorithm for identifying and generating the optimal pulse compression codes. The VLSI System is implemented on the field programmable gate array as it provides the flexibility of reconfigurability and reprogramability and it is a real-time signal-processing solution which identifies and generates optimal sequences.