Synthesis of Barker-Like Codes with Adaptation to Interference

Interference immunity is one of the important characteristics of data reception/transmission systems. Increasing immunity to interference at fixed transmit/receive rates is a current issue, e.g. for drone control. The investigated Barker-like code (BLC) sequences allow increasing the power of the received sequences due to the use of mirror interference-resistant code sequences. The increase in data transmission interference is achieved by increasing the length and power of the interference-resistant codec sequence used to transmit a single message. Interference immunity is one of the important characteristics of data reception/transmission systems. Increasing immunity to interference at fixed transmit/receive rates is a current issue, e.g. for drone control. The advantages of these sequences (e.g. high immunity to high power narrow-band interference, code-based subscriber separation, transmission stealth, high resistance to multipath, high resolution in navigation measurements) will have wide practical application in communication and geolocation systems. The paper improves the method of synthesis of interference-resistant BLC sequences using ideal ring beams. An improved method for quickly finding such interference-resistant code sequences that are capable of finding and correcting errors according to the length of the resulting code sequence is considered. Implemented an algorithm for quickly finding such interference-resistant Barker-like coding sequences that are capable of finding and correcting errors according to the length of the resulting code sequence in a large volume. A simulation model of interference-resistant BL coding using ideal ring bundles is developed. The software implementation of the simulation model of the noise-resistant Barker-like coding (on finding and correcting errors in the obtained noise-resistant BLC sequences) has been carried out. The proposed noise-correcting BLC sequences have practical value, since with the help of the obtained code sequence is quite simple and fast to find (up to 50%) and correct (up to 25%) distorted characters (of the length of the noise-correcting code sequence).