Antenna placement optimisation for compressed sensing-based distributed MIMO radar
Antenna placement optimisation for compressed sensing-based distributed MIMO radar
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DOI：
10.1049/iet-rsn.2016.0176
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发表时间：
2017-02
影响因子：
1.7
通讯作者：
Peng Chen;Chenhao Qi;Lenan Wu
中科院分区：
文献类型：
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作者：
Peng Chen;Chenhao Qi;Lenan Wu
由于利用分布式多输入多输出（MIMO）雷达系统中的空间分集可以实现更好的定位性能，因此作者在本研究中考虑了通过优化天线布局来进一步提高该性能的问题。在定位过程中，提出了一种新颖的基于压缩感知的方法来利用目标稀疏性，其中首先建立包含来自离散区域的所有可能的回波波形的过完备字典矩阵。此外，为了进一步提高定位性能，提出了一种新颖的迭代方法，通过优化发射机和接收机的天线放置来最小化字典矩阵的相互相干性。此外，推导了互相干性的理论分布，并给出了随天线数量增加而渐近的性能。仿真结果表明，通过优化分布式 MIMO 雷达中的天线布局，可以提高多个目标的定位性能。
Since a better localisation performance is achieved by exploiting the spatial diversity in the distributed multiple-input and multiple-output (MIMO) radar systems, the authors consider the problem of further improving this performance by optimising the antenna placement in this study. In the localisation processes, a novel compressed sensing-based method is proposed to exploit the target sparsity, where an over-complete dictionary matrix containing all the possible echo waveforms from the discretised area is first established. In addition, to further improve the localisation performance, a novel iterative method is proposed to minimise the mutual coherence of the dictionary matrix by optimising the antenna placement of both transmitters and receivers. Moreover, the theoretical distribution of the mutual coherence is derived, and an asymptotic performance with increasing the number of antennas is also provided. Simulation results demonstrate the localisation performance improvement for multiple targets by optimising the antenna placement in the distributed MIMO radar.