An algorithm for synthesis of binary phase manipulated signals with optimal periodic auto - Correlation properties

The radio signals, possessing the so-named ideal auto - correlation function (ACF), resembling the Dirac delta - function (pulse), are very important for many technical applications. Due to this reason the methods for design of such signals have been intensively researched during the past sixty years. With regard to this situation in the paper we suggest an algorithm for synthesis of infinite classes of binary phase manipulated signals, which real periodic ACFs (PACFs) can be transformed in ideal PACFs by energy-efficient side-lobe suppression filters.