V.N. Bondarenko - Dr.Sc. (Eng.), Professor, Departament «Radioelectronic systems»,Engineering Physics and Radioelectronics Institute, Siberian Federal Universit (Krasnoyarsk) E-mail: vbondarenko@sfu-kras.ru T.V. Krasnov - Ph.D. (Eng.), Associate Professor, Departament «Radioelectronic systems», Engineering Physics and Radioelectronics Institute, Siberian Federal Universit (Krasnoyarsk) E-mail: krasnovtv@ya.ru V.F. Garifullin - Senior Lecturer, Departament «Radioelectronic systems», Engineering Physics and Radioelectronics Institute, Siberian Federal Universit (Krasnoyarsk) E-mail: vadimgar@mail.ru M.M. Valikhanov - Associate Professor, Departament « Radiotechnics», Engineering Physics and Radioelectronics Institute, Siberian Federal Universit (Krasnoyarsk) E-mail: marat_valihanov@mail.ru V.V. Sukhotin - Associate Professor, Departament «Radioelectronic systems», Engineering Physics and Radioelectronics Institute, Siberian Federal Universit (Krasnoyarsk) E-mail: marat_valihanov@mail.ru

In the article there is a quasi-optimal double-level search algorithm the spread spectrum signal (SSS) with minimal frequency shift keying of MSK-BOC format due to delay time. On the first level there is a search on the envelope line of code (without subcarrier frequency) with cell size equal to meander chip duration. The search algorithm for MSK-BOC signal, which is invariant to subcarrier frequency is based on considering of every quadrature signal component as two components on «high» and «low» frequencies. On the second level the additional search of main peak of MSK-BOC signal is produced. For this case the traditional parallel procedure of searching the cell size equal to a half of meander chip duration and equal and with three channels is used. The immunity analysis of considered search algorithm is produced with using a probability of abnormal errors exceeding a half of ad-ditional searching step as criterion. The analysis results show that the loss in immunity of quasi-optimal searching algorithm in com-parison with the optimal searching algorithm is less than 1,5 dB and it is entirely repaid by the benefits of practical implementation.

 

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