论文标题
MIMO-OFDM双功能通信雷达系统的性能优化和参数估计
Performance Optimization and Parameters Estimation for MIMO-OFDM Dual-functional Communication-radar Systems
论文作者
论文摘要
在双功能通信雷达系统中，使用通用射频（RF）信号用于通信和检测。为了更好地与现有通信系统的兼容性，我们采用多输入多输出（MIMO）正交频施加多路复用（OFDM）作为集成信号，并研究MIMO OFDM信号的估计性能。我们首先分析参数估计的Cramer-Rao下限（CRLB）。然后，对不同子载波的传输权力进行了优化，以实现传输速率和估算性能之间的最佳权衡。最后，我们提出了一种更准确的估计方法，该方法利用三阶张量的规范多核分解（CPD）来获得参数矩阵。由于参数矩阵的列结构的特征，我们只需要使用DFT / IDFT来恢复多个目标的参数。仿真结果表明，基于张量的估计方法可以实现接近CRLB的性能，并且可以通过优化发射功率来提高估计性能。
In dual-functional communication-radar systems, common radio frequency (RF) signals are used for both communication and detection. For better compatibility with existing communication systems, we adopt multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) signals as integrated signals and investigate the estimation performance of MIMO-OFDM signals. We first analyze the Cramer-Rao lower bound (CRLB) of parameters estimation. Then, transmit powers over different subcarriers are optimized to achieve the best tradeoff between transmission rate and estimation performance. Finally, we propose a more accurate estimation method which utilizes canonical polyadic decomposition (CPD) of three-order tensor to obtain the parameter matrices. Due to the characteristic of the column structure of the parameter matrices, we just need to use DFT / IDFT to recover the parameters of multiple targets. The simulation results show that the estimation method based on tensor can achieve performance close to CRLB and the estimation performance can be improved by optimizing the transmit powers.
