Research On Joint Radar And Communication Signal Processing Algorithms Based On OFDM

The rise of emerging applications(such as autonomous driving,smart factories,etc.)requires the next generation of wireless communication systems to have both radar sensing and communication functions.The joint design of radar and communication systems shares spectrum,waveform,hardware and other resources,which greatly improves the physical resource utilization.Studying the joint radar and communication(JRC)waveform is crucial.The rapid evolution of wireless communication systems has paved the way for multifunctional integration within a single device.In the era of Internet of Everything(IoE),JRC technology is at the forefront of innovation.This article studies the JRC waveform based on the use of orthogonal frequency division multiplexing(OFDM).It combines Multiple Signal Classification(MUSIC)super-resolution algorithm,Two-Dimensional Fast Fourier Transform(2D-FFT)algorithm and multiple base stations(BSs)cooperative sensing algorithm for distance and velocity estimation of the targets in the environment,as well as studies the influence of 5G signal parameters on the JRC signal processing algorithms.In addition,the multiple BSs cooperative sensing algorithms are explored.In order to evaluate the sensing performance of the MUSIC algorithm,2D-FFT algorithm and multiple BSs cooperative sensing algorithm,this research uses Root Mean Square Error(RMSE)as a performance index,which reveals the accuracy of distance and velocity estimation in the JRC system.The RMSE function is adopted as a reliable measure.The RMSE function allows us to quantitatively compare the difference between estimated distance and velocity and their real values.We use an extensive simulation to study the influence of factors such as signalto-noise ratio(SNR)and carrier frequency on the performance of distance and velocity,and prove that the MUSIC algorithm is more accurate in estimating parameters than the 2D-FFT algorithm.RMSE provides a comprehensive assessment of the overall estimation performance by computing the square root of the mean of the squares of the differences between the estimated and real values.This approach allows us to objectively analyze the system’s effectiveness in accurately estimating disstance and velocity,contributing to a comprehensive assessment of its capabilities.In addition,this paper simulates and analyzes the performance of OFDM waveforms and the efficiency of JRC signal processing algorithms.Simulation results show the effectiveness of the JRC signal processing algorithms.The JRC system achieves enhanced accuracy in velocity and range estimation,characterized by reduced RMSE value.Furthermore,the system demonstrated the ability to resolve high-speed targets and unambiguous range measurements,overcoming the limitations of conventional radar systems.Analysis of 5G parameters reveals their impact on joint system performance.Parameters such as bandwidth allocation,subcarrier spacing,and power allocation significantly affect the overall performance of the system and require careful optimization to achieve the desired results.This study provides valuable insights into the interplay between 5G parameters and JRC systems,which can help in the development of efficient and reliable integrated systems.The research results contribute to the continuous development of the field of JRC systems and its various application areas.