A Hybrid Synthetic Aperture and Time-Reversal MUSIC Algorithm for Subwavelength Radar Imaging

Nathaniel Tamminga, Brianna Christensen, S. Petry, E. Chang
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Abstract

A promising chipless RFID approach uses millimeter-wave synthetic aperture radar (SAR) to image metal ink-printed ID tags from a meter or more away. Due to printing cost, it is desirable to minimize the size and spacing of metal patches within a tag, preferably into the subwavelength regime. Although circular SAR (CSAR) has a sharply peaked point response in 2D, its side lobes of closely-spaced targets interfere strongly with each other to distort the image. An alternative 2D subwavelength imaging approach with minimal side lobes is Time-Reversal MUSIC (TR-MUSIC). Traditional TR-MUSIC, however, requires a large number of transmitters and receivers. We propose a hybrid synthetic aperture TR-MUSIC algorithm (SATR-MUSIC) that combines the benefits of both approaches. Using relatively few transceivers, SATR-MUSIC is able to resolve objects separated by approximately  in 2D with minimal background artifacts. It does so by averaging TR-MUSIC’s imaging kernel incoherently over the synthetic aperture.
一种用于亚波长雷达成像的混合合成孔径和时间反转MUSIC算法
一种很有前途的无芯片RFID方法使用毫米波合成孔径雷达(SAR)从一米或更远的地方对金属油墨印刷的身份标签进行成像。由于印刷成本的原因,希望将标签内金属贴片的尺寸和间距最小化,最好是进入亚波长范围。尽管圆形SAR (CSAR)在二维图像中具有明显的峰值响应,但其近距离目标的侧瓣之间会产生强烈的干扰,从而导致图像畸变。另一种具有最小侧瓣的二维亚波长成像方法是时间反转音乐(TR-MUSIC)。然而,传统的TR-MUSIC需要大量的发射器和接收器。我们提出了一种混合合成孔径TR-MUSIC算法(SATR-MUSIC),它结合了两种方法的优点。使用相对较少的收发器,sat - music能够以最小的背景伪影解析大约在2D中分离的物体。它是通过在合成孔径上对TR-MUSIC的成像核进行非相干平均来实现的。
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