Research On Integrated Radar And Communication Algorithm Based On FBMC-OQAM

With the exponential growth of the number of communication equipment and data traffic,spectrum has become a scarce resource.Communication frequency band inevitably overlaps with radar frequency band,which leads to the discussion on how to avoid interference between communication system and radar system.With the development of radar and communication technology and the emergence of some new services,the integration of radar communication has become the development trend of future mobile communication,which can reuse frequency band to avoid interference between systems.Offset Quadrature Amplitude Modulation(OQAM)Filter Bank multi-carrier(FBMC)signal due to its good time-frequency characteristics,less out-of-band leakage and high spectral efficiency,It is regarded as an effective signal to deal with the scarcity of spectrum resources.Therefore,this paper studies the radar communication integration algorithm based on FBMC-OQAM to provide reference for the design of the future radar communication integration system.The main work is summarized as follows:Aiming at the problem that radar detection performance of matched filtering speed measurement and ranging algorithm in FBMC-OQAM system will be affected by communication data,and the problem of false target and weak target being obscured caused by sidelobe in period graph speed measurement and ranging algorithm in multi-target scene,a multi-target detection algorithm based on period graph is proposed.Firstly,the influence of communication data on radar detection performance is eliminated.Then the periodic graph of the target is calculated.Then the quadratic interpolation method is used to improve the estimation accuracy and reduce the fence loss.Finally,the idea of iterative elimination is used to accurately eliminate the influence of a single target sidelobe on the remaining targets,and the cycle graph is updated iterated until all targets are detected.The simulation results show that the performance of the proposed algorithm is not affected by the target sidelobe and communication data,compared with the matched filtering algorithm and the periodic graph algorithm.A low complexity MUSIC algorithm and a Rotational Invariance technique based on Estimating Signal Parameters are proposed.ESPIRIT).The proposed two-dimensional MUSIC algorithm reduces the complexity of correlation matrix calculation by using the idea of iteration and introduces the idea of dimensionality reduction to reduce the calculation of two-dimensional search.The proposed ESPRIT algorithm uses the multi-pulse radar model to avoid the spectral peak search of MUSIC algorithm.The complexity analysis shows that the complexity of the proposed two algorithms is lower than the original two-dimensional MUSIC algorithm.Simulation results show that the accuracy of the two algorithms is not decreased compared with the original algorithm.