Joint Transmit Designs for Coexistence of MIMO Wireless Communications and Sparse Sensing Radars in Clutter
Joint Transmit Designs for Coexistence of MIMO Wireless Communications and Sparse Sensing Radars in Clutter
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DOI：
10.1109/taes.2017.2717518
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发表时间：
2017-12-01
影响因子：
4.4
通讯作者：
Petropulu, Athina P.
中科院分区：
文献类型：
--
作者：
Li, Bo;Petropulu, Athina P.
提出了一种多输入多输出（MIMO）通信系统与基于矩阵完备（MC）的共址MIMO（MIMO-MC）雷达共存的协作方案。为了促进共存，并且还处理杂波，雷达和通信系统都使用发射预编码。为了波形灵活性，雷达使用随机单一波形矩阵。我们证明，对于这样的波形和任何预编码矩阵，MC的错误性能是有保证的。联合设计雷达发射预编码器、雷达子采样方案和通信发射协方差矩阵，以最大化雷达SINR，同时满足一定的通信速率和功率约束。联合设计在控制中心实现，该控制中心是两个系统共享物理层信息的节点，并且还为雷达执行数据融合。我们提供了有效的算法，建议的优化问题，沿着洞察的可行性和性能的建议设计。仿真结果表明，该方案在各种场景下都能显著提高频谱共享性能。
The paper proposes a cooperative scheme for the coexistence of a multiple-input-multiple-output (MIMO) communication system and a matrix completion (MC) based, collocated MIMO (MIMO-MC) radar. To facilitate the coexistence, and also deal with clutter, both the radar and the communication systems use transmit precoding. For waveform flexibility, the radar uses a random unitary waveform matrix. We prove that for such waveforms and any precoding matrix, the error performance of MC is guaranteed. The radar transmit precoder, the radar subsampling scheme, and the communication transmit covariance matrix are jointly designed in order to maximize the radar SINR, while meeting certain communication rate and power constraints. The joint design is implemented at a control center, which is a node with whom both systems share physical layer information, and which also performs data fusion for the radar. We provide efficient algorithms for the proposed optimization problem, along with insight on the feasibility and properties of the proposed design. Simulation results show that the proposed scheme significantly improves the spectrum sharing performance in various scenarios.