知识与财富的链接
基于多输入多输出(MIMO)阵列的综合射频(MFRF)系统通过优化多波形,可以在不同角度辐射不同的信号,进而同时实现多种功能。然而,当存在角度误差时,综合射频系统所合成的信号会出现畸变,这将导致系统性能下降。该文主要考虑存在角度误差时,对综合射频系统鲁棒波形设计算法进行研究。首先,提出基于最小最大化(Min-Max)框架的MIMO阵列多波形优化问题。同时,为减少非线性功放引起的波形失真,对发射波形施加了峰均比(PAPR)约束。为求解此问题,该文提出了基于交替方向乘子法(ADMM)和Majorization-Minimization(MM)方法的波形优化算法。仿真实验结果表明,当存在角度误差时,所提算法能够获得更好的性能。
Multi-Function Radio Frequency (MFRF) systems based on Multiple-Input-Multiple-Output (MIMO) array can synthesize different signals that can realize multiple functions at different angles via waveform optimization. However, due to the angle uncertainties, the waveforms synthesized by MFRF systems might be distorted and the performance of the systems might degrade as well. The robust waveform design algorithm for MFRF systems under angle uncertainties is studied in this paper. Firstly, a waveform optimization based on Min-Max framework is proposed.
Additionally, the Peak-to-Average-Power-Ratio (PAPR) constraint is enforced to reduce the waveform distortion caused by nonlinearity of the power amplifiers. To tackle this problem, an algorithm based on the Alternating Direction Method of Multipliers (ADMM) and Majorization-Minimization (MM) algorithm is derived. Simulation results show that the proposed algorithm can produce signals with different functions in different regions even with angle uncertainties.
