Sidelobe Suppression of Polyphase Coded Signal Using Different Filters

Abstract

This paper deals with different types of polyphase coded signals in terms of their correlation properties. The (Frank, P1, P2, P3 and P4) polyphase codes and the Iterative Reweight Least Square(IRLS) procedure were used in this work. Each polyphase code is used as a parameter to (IRLS) procedure and this work is accomplished using MATLAB software. Additive White Gaussian Noise(AWGN) is introduced in the assessment made to the codes that are adopted in this paper. The Peak Sidelobe Level (PSL), the Integrated Sidelobe Level (ISL) and the Signal-to-Noise Ratio Loss (SNRL) criteria are used to evaluate the performance of polyphase codes. It is found that, the P3 code is the best code in terms of (PSL and ISL) criteria within an acceptable (SNRL) when using IRLS procedure. When use AWGN=10dB and for the range P=N till P=N+174, It is found that, PSL of P3 improvement approximately 33dB and ISL of P3 improvement approximately 29dB, but SNRL is equal approximately 2dB