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Frequency Error Compensation of Unsynchronized Bistatic CW- MIMO Radar for Multiple Human-Body Localization

机译:非同步双基地CW-MIMO雷达多人体定位频率误差补偿

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摘要

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.
机译:本文提出并实验评估了一种适用于非同步双基地多输入多输出(MIMO)雷达的人体检测频率误差消除技术。首先,提出了利用双基地MIMO雷达进行人体定位的数学表达式。然后使用直接路径来消除发射机和接收机之间的频率差产生的相位误差。推导了一种新的无相位误差MIMO信道多普勒频移分量,并利用二维多元分类(MUSIC)方法计算了多个目标的位置。接下来,讨论了频率误差与功率比的仿真结果,以说明所提方法的有效性。实验在室内多径丰富的环境中进行。为了模拟不同步条件,发射器和接收器使用独立的信号发生器 (SG)。测试一到六个目标。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。

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