基于空间调制的联合雷达与通信系统的波束方向图与稳健多普勒滤波器设计
Beampattern and Robust Doppler Filter Design for Spatial Modulation Based Joint RadCom Systems
AI总结：
本文针对基于空间调制的联合雷达通信系统，设计恒模波形并分析波束方向图对杂波调制的影响，进而提出在导向矢量失配下最大化最差SINR的稳健多普勒滤波器设计方法，采用ADMM和SDP求解，仿真验证了其稳健性。
摘要：
近年来，联合雷达与通信（RadCom）系统被提出以实现雷达与通信之间的频谱共享。然而，联合RadCom系统会导致杂波调制以及雷达和通信性能的下降。因此，在设计联合RadCom系统时，提高雷达和通信两者的性能至关重要。首先，本文为基于空间调制的联合RadCom系统设计了恒模双功能波形。为了解决非光滑且非凸的优化问题，我们提出了一种基于交替方向乘子法（ADMM）的方法来获得次优解。其次，本文分析了波束方向图变化对基于空间调制的联合RadCom系统中杂波调制的影响。此外，本文还考虑了当接收时间导向矢量与期望时间导向矢量失配时，联合RadCom系统的稳健多普勒滤波器设计。本文旨在相似性约束和恒定白噪声增益约束下，最大化特定多普勒区间内多普勒滤波器的最差信干噪比（SINR）。为了解决非凸优化问题，我们将原始优化问题松弛为半定规划（SDP），该问题是凸的，可以使用现成的优化求解器求解。此外，利用秩一分解方法来合成所提出的稳健多普勒滤波器的权向量。最后，给出了大量仿真结果以展示所设计多普勒滤波器的稳健性。
英文摘要：
Joint radar and communication (RadCom) systems have been proposed to achieve the spectrum sharing between radar and communication in recent years. However, the joint RadCom systems cause the clutter modulation and the performance degradation of both radar and communication. As a consequence, it's very critical to improve the performance of both radar and communication when designing joint RadCom systems. Firstly, this paper designs the constant modulus dual function waveforms for spatial modulation based joint RadCom systems. In order to solve the nonsmooth and nonconvex optimization problem, we propose a method based on alternating direction method of multipliers (ADMM) to obtain a suboptimal solution. Secondly, this paper analyses the effect of beampattern variation on clutter modulation for spatial modulation based joint RadCom systems. Besides, this paper considers the design of robust doppler filter for joint RadCom systems when the receive temporal steering vector is mismatched to the desired temporal steering vector. This paper aims to maximize the worst signal-to-interference-plus-noise-ratio (SINR) of the doppler filter in the specific doppler interval under the similarity constraint and constant white noise gain constraint. In order to solve the nonconvex optimization problem, we relax the original optimization problem to a semidefinite programming (SDP), which is convex and can be solved using off-the-shelf optimization solvers. What's more, the rank-one decomposition method is utilized to synthesize the weight vector of the proposed robust doppler filter. Finally, lots of simulation results are presented to show the robustness of the designed doppler filter.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
