MIMO radar signal processing based on tomographic imaging technique

Chang Zhang, Qiang Yang, Yingning Dong
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Abstract

Recently, with the rapid development of inshore tourism, the appropriate beaches for antennas distribution are lesser and lesser. So it is imperative to find a new way for high frequency radar system. By locating the transmitters and receivers in a circular array can reduce the area of the transmitters and receivers in a single beach, as we locate the array in a circular mode in different places instead of a line mode in one single place. Inspired by the spatial diversity which is gained in tomographic imaging technique, this paper presents a circular array MIMO radar system used tomographic imaging technique which is the convolution back projection (CBP) algorithm. As the limitation of the signal bandwidth in high frequency band, the spatial resolution of the classical radar system is very low. However, geometric diversity obtained through MIMO radar system affords the user the opportunity to obtain additional information concerning the targets without increasing bandwidth. With the tomographic signal processing, this translates directly into increased probability of target detection. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.
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基于层析成像技术的MIMO雷达信号处理
近年来,随着近海旅游业的迅速发展,适合天线分布的海滩越来越少。因此,探索高频雷达系统的新途径势在必行。通过将发射器和接收器放置在圆形阵列中,可以减少发射器和接收器在单个海滩上的面积,因为我们在不同的地方以圆形模式放置阵列,而不是在一个地方以直线模式放置阵列。受层析成像技术空间分异的启发,提出了一种利用层析成像技术卷积反投影(CBP)算法的圆阵列MIMO雷达系统。由于信号带宽在高频段的限制,经典雷达系统的空间分辨率很低。然而,通过MIMO雷达系统获得的几何分集为用户提供了在不增加带宽的情况下获得有关目标的附加信息的机会。通过层析信号处理,这直接转化为目标检测的概率增加。最后,通过数值实验验证了所提方法的有效性。
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