Abuduaini Abudusaimi, Shiraki Nobuyuki, Honma Naoki, Nakayama Takeshi, Iizuka Shoichi
IEEE Trans Biomed Circuits Syst. 2022 Oct;16(5):882-890. doi: 10.1109/TBCAS.2022.3205362. Epub 2022 Nov 30.
This article presents and experimentally evaluates a frequency error elimination technique suitable for unsynchronized bistatic Multiple-Input Multiple-Output (MIMO) radar for human-body detection. First, a mathematical expression of human-body localization using bistatic MIMO radar is presented. Then the direct path is used to eliminate the phase error created by the frequency difference between the transmitter and receiver. A new Doppler-shifted component of the MIMO channel without phase error is derived, and the locations of the multiple targets are calculated by the 2-dimensional MUltiple SIgnal Classification (MUSIC) method. Next, the results of simulations that examine frequency error versus power ratios are discussed to illustrate the effectiveness of the proposed method. An experiment is carried out in an indoor multipath-rich environment. To emulate the unsynchronized condition, the transmitter and receiver use independent Signal Generators (SGs). One to six targets are tested. The experiments demonstrate that our unsynchronized radar system can identify the locations of multiple targets with high accuracy.
本文提出并通过实验评估了一种适用于人体检测的非同步双基地多输入多输出（MIMO）雷达的频率误差消除技术。首先，给出了使用双基地MIMO雷达进行人体定位的数学表达式。然后利用直达路径消除发射机和接收机之间频率差异所产生的相位误差。推导了无相位误差的MIMO信道新的多普勒频移分量，并通过二维多重信号分类（MUSIC）方法计算多个目标的位置。接下来，讨论了检验频率误差与功率比的仿真结果，以说明所提方法的有效性。在室内多径丰富的环境中进行了实验。为模拟非同步条件，发射机和接收机使用独立的信号发生器（SG）。测试了一到六个目标。实验表明，我们的非同步雷达系统能够高精度地识别多个目标的位置。
