Application Research Of Compression Sensing In Communication Anti-Jamming

With the rapid development of wireless communication technologies,various wireless mobile devices have been widely used in various fields.At the same time,the communication rate and the amount of information transmitted is getting more and more,the interference that communications equipment and systems are facing is becoming increasingly serious.The existing communication anti-jamming technology usually replaces the anti-jamming performance of the system at the cost of more frequency band resources,while the spectrum resources are not infinite in the end.If the existence of interference signals can be tolerated in the resources required for data transmission,and the correct transmission of the user signals is achieved through the data processing algorithm,the high efficiency and high quality of the interference-tolerant communication system can be realized.Combining with compressed sensing,this paper proposes a channel-side OFDM compression-aware anti-jamming communication transmission system,which breaks through the traditional sampling constraints and achieves signal recovery at the receiver by the sparsity of the signal itself.Firstly,the article briefly describes the research status and development trends of compressive sensing and communication anti-jamming technologies both at home and abroad.Then it builds a theoretical framework for compressed sensing and focuses on the performance of common observation matrices and common reconstruction algorithms.Further,by exploring the sparsity of channel coded signals,a channel-side compressed sensing anti-jamming communication system is proposed.Then the four parts of the system: sparse representation of communication signals,projection transformation process,disturbed transmission process,signal reconstruction are introduced,and then the feasibility of the system is analyzed.At the same time,the concept of equivalent observation matrix is proposed in this paper.The observation matrix is divided into two parts,which are applied before and after the channel respectively.Focusing on the influence of different data packet lengths on reconstruction error when using equivalent observation matrix and traditional single-layer observation matrix,the simulation results reflect the advantages of hierarchical design of observation matrix.Finally,an evaluation index for measuring system anti-jamming performance and algorithm performance is defined.Under different types of interference,the BER performance of channel-side OFDM compression-aware transmission systems and traditional OFDM systems that only consider channel coding is compared through simulation.At the same time,the stability of the channel-side compressed sensing system under different interferences is analyzed.