DefinePK

Abstract

The Polyphase Sequences such as Pn {n=1, 2, 3, 4, x}, Frank, Golomb, and the Chu finds many applications in RADAR, SONAR, and Communication by having good autocorrelation properties. Merit Factor (MF), ISL (Integrated Sidelobe Level) is the performance measures considers for evaluating the goodness of any sequences. In this paper cyclic algorithm approach initialized with these Polyphase sequences for lengths from 102 to 103. These cyclic algorithm approaches bring the better merit factor and correlation properties than the standard case. It found that an average of merit factor 40.39 and 92.02 is obtained for length 100 & 1000 respectively. Cyclic algorithm approach Polyphase sequences correlation plots are compared with the standard case. This approach made possible for P2 sequences that improved merit factor for odd integer square length. Four consecutive even and odd integer squared length sequences correlation plots and merit factor values compared. Cyclic algorithmic methodology for these Polyphase sequences for obtaining the design metrics implemented on MATLAB.