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多天线正交频分复用的雷达信号处理算法

Radar Signal Processing Algorithms for Multi-Antennas Orthogonal Frequency Division Multiplexing
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摘要 在实现雷达通信一体化中,正交频分复用信号被广泛使用,多输入多输出天线阵列的引入能定位目标所在的方位角,同时利用多天线也能提高通信的性能。在多输入多输出正交频分复用雷达通信一体化系统中,本文通过构建信号的雷达接收模型,将参数估计问题建模为压缩感知问题并进行求解,提出基于快速迭代收缩阈值算法的参数估计方法。仿真结果显示,在低信噪比情况下,本文所提方法优于基于迭代收缩阈值算法和基于正交匹配追踪的参数估计方法。 In realizing the integration of radar and communication,orthogonal frequency division multiplexing(OFDM)signals are widely used.The use of multiple-input multiple-output(MIMO)antennas array not only can estimate the azimuth of the target,but also can improve the performance of communication.In this paper,by constructing the radar model of the received signal in the joint radar-communication system with MIMO-OFDM,the parameter estimation problem is modeled as a compressed sensing problem and solved,and a parameter estimation method based on fast iterative shrinkage-thresholding algorithms(FISTA)is proposed.The simulation results demonstrate that the approach presented in this paper outperforms the methods based on iterative shrinkage-thresholding algorithms(ISTA)and orthogonal matching pursuit(OMP),particularly at low signal-to-noise ratio.
作者 蔡司逸 CAI Siyi(Department of Physical and Information Engineering,Fuzhou University,Fuzhou,China,350108)
出处 《福建电脑》 2023年第7期8-12,共5页 Journal of Fujian Computer
关键词 多输入多输出 正交频分复用 雷达通信一体化 压缩感知 快速迭代收缩阈值算法 MIMO OFDM Joint Radar-communication Compressed Sensing FISTA
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