ID 原文 译文
23565 为解决传统混合预编码结构难以实现的缺点，该文的混合预编码研究基于一种简单的固定子连接结构。 Considering that the conventional HP structure is not practical, the research is based on a simple fixed sub-connection structure.
23566 推导了系统可达速率最大，模拟预编码矩阵应满足的条件，从而将混合预编码矩阵设计问题转化为优化问题。 The condition that the analogue precoding matrix should meet to maximize the sum achievable rate is deduced, so that the design of the analogue precoding matrix is transformed into an optimization problem.
23567 采用鸟群算法(BSA)解决此优化问题，求得最优的预编码矩阵。 The optimal analogue precoding matrix is obtained by using Bird Swarm Algorithm (BSA).
23568 针对模拟移相器分辨率有限的情况，提出一种直接量化的解决方案和一种基于改进的离散 BSA 的解决方案。 Considering that finite resolution phase shifters are used, a straightforward quantization solution and an improved discrete BSA based solution are proposed.
23569 仿真结果表明，所提算法能够基于简单结构实现较好的性能； The simulation results show that the proposed algorithm can achieve good performance based on simple structure.
23570 移相器分辨率有限情况下，所提的两种解决方案都是有效的，且基于离散 BSA 的方案在分辨率较低时性能更优。 While using finite resolution phase shifter, both of the proposed solutions are effective, furthermore, the solution based on the discrete BSA can get better performance while the resolution is low.
23571 现有 MIMO 雷达发射波形和接收滤波器联合优化方法均未考虑阵元功率放大器非线性以及算法的稳健性。 The existing joint design methods of transmit waveform and receive filter for MIMO radar do not take into account the non-linear characteristics of radio frequency amplifier and the imprecise information about the target in practical applications.
23572 针对上述问题，该文以 MIMO 雷达各阵元发射功率和每个阵元发射波形的峰均比(PAR)为约束条件，提出一种杂波条件下稳健的 MIMO 雷达发射波形和接收滤波器联合优化设计方法。 For these problems, a robust joint design of transmit waveform and receive filter for MIMO radar in presence of clutter with the power constraint of each element and the Peak-to-Average-power Ratio (PAR) constraint of transmit waveform from each element is proposed.
23573 该方法利用 Max-Min 构造目标导向矢量不确定集范围内关于雷达输出信干噪比(SINR)的优化模型，通过半正定松弛(SDR)、Charnes-Cooper 转换、序列优化和 Lagrange 对偶方法，将非凸的联合优化模型转化为两个分别关于发射波形和接收滤波器空时序列协方差矩阵的凸的半正定规划问题(SDP)进行求解，最后利用随机向量合成方法得到具体的发射波形和接收滤波器。 The novel scheme sets an optimization model of MIMO radar's output Signal-to-Interference-plus-Noise Ratio (SINR) within the uncertainty of target's steering vector via Max-Min method. As for the resulting non-convex joint optimization problem, Semi-Definite Relaxation (SDR), Charnes-Cooper transformation, sequential optimization, and Lagrange dual theorem are adopted to converse the non-convex original problem into two convex Semi-Definite Programming (SDP) sub-problems, which are concerned about the covariance matrix of transmit space-time code and receive space-time filter, respectively. The final transmit waveform and receive filter can be obtained by randomization method.
23574 实验仿真验证了所提方法的有效性和稳健性。 The efficiency and robustness of the proposed algorithm are verified by the simulation results.