Design And Implementation Of Spread Spectrum Signal Detection And Jamming Waveform

The spread spectrum communication is characterized by low interception probability,high secrecy,and strong anti-interference capability,which poses a great challenge to its detection and jamming.WCDMA is a spread spectrum communication system widely used in mobile communication.The system has been used in the field of satellite communication(such as MUOS)after some improvements.The thesis mainly studies the WCDMA detection and reception method in non-collaborative scenarios,and designs the jamming waveform of WCDMA downlink signals.Specifically,the main work is as follows.(1)Investigated detection and reception methods for WCDMA in non-collaborative scenarios.Proposed a cell search method suitable for non-collaborative scenarios.The results of the actual detection data show that the method can accurately estimate the frame start position and the estimation accuracy of the primary scrambling code is up to 84.3%.Proposed a channel coding closed-set identification method based on a one-dimensional lightweight residual network.The simulation generates 20 channel coding data for testing,and the result shows that the coding type and parameters can be identified with an average accuracy of 98.35%,and the coding type and parameters of the actual detection data can be correctly identified.(2)Designed a jamming waveform of WCDMA downlink signals.Using the characteristics of SCH and P-CPICH,synchronous channel and pilot channel jamming is designed based on the WCDMA downlink physical channel processing process.The simulation result shows that the jamming power of the synchronous channel and pilot channel jamming is about 20 d B less than that of white noise jamming when the interference effects are the same.(3)Completed the design and implementation of the IP core that can accurately get coding data when the PSC is unknown.The C code conversions for cell search,descrambling and de-scrambling,frequency bias correction and de-interleaving algorithms have been completed on the HLS platform,and the code has been optimised through the method such as parallel and pipeline,effectively reducing resource usage and increasing processing speed.The comprehensive analysis report of HLS shows that the HLS-optimised IP core reduces the usage of storage resources by 50%,the maximum computing latency is reduced by 82%,and the computing speed is about 4.8 times faster than that of the CPU(Intel Core i7-8700U).The IP core is tested with both decoding and decoding CRC algorithms,and the result shows that the IP core can accurately get the coding data of the actual detection data.