Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks
复制标题
汽车 MIMO 雷达与 V2V 网络通信共存的发射波束模式优化
DOI：
10.3390/s20041100
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Rihan Mohamed
中科院分区：
文献类型：
--
作者：
Jiang Zheng-Ming;Zhang Pei-Chang;Huang Lei;He Xin;Zhang Ji-Hong;Rihan Mohamed
由于车对车（V2V）通信和自动驾驶的蓬勃发展，雷达传感和通信信号之间的干扰成为一个具有挑战性的问题。我们提出了一种基于发射波束成形的频谱共享方案，以实现汽车多输入多输出（MIMO）雷达和通信系统之间的和平共存。我们的目标是在通信容量和发射功率预算约束的前提下，最大限度地提高汽车雷达接收器的信号干扰加噪声比 (SINR)，以优化通信协方差矩阵和雷达发射预编码器。公式化的优化问题是非凸的，通过引入新的松弛变量将其转换为凸的，然后使用块坐标下降（也称为交替优化）方法求解。此外，然后采用椭球次梯度方法来降低计算复杂度。仿真结果表明我们提出的方案优于传统方案。
Due to the flourishing development of vehicle-to-vehicle (V2V) communications and autonomous driving, interference between radar sensing and communication signals becomes a challenging issue. We propose a transmit beamforming based spectrum sharing scheme to achieve peaceful coexistence between automotive multiple-input multiple-out (MIMO) radar and communication systems. Our objective is to maximize the signal-to-interference-plus-noise ratio (SINR) of the automotive radar receiver subject to the communication capacity and the transmitted power budget constraints to optimize both the communication covariance matrix and the radar transmit precoder. The formulated optimization problem is non-convex, which is converted to convex by introducing a new slack variable and then solving it using the block coordinate descent, also called alternation optimization, approach. Additionally, the ellipsoid sub-gradient method is then employed to reduce the computational complexity. Simulation results demonstrate that our proposed scheme outperforms the conventional schemes.