Although the MUltiple SIgnal Classification (MUSIC) algorithm has demonstrated suitability as a microwave imaging technique for detecting anomalies, there is a fundamental limit that it requires a switching device to be used which permits an antenna to transmit and receive signals simultaneously. In this paper, we design a MUSIC-type imaging function using scattering parameter data to find small anomaly and explore its mathematical structure. Considering the investigated structure, we confirm that the imaging performance is highly dependent on the antenna configurations and suggest an arrangement of antennas to enhance imaging performance. Simulation results with synthetic data are displayed to support theoretical result.

翻译：尽管多信号分类（MUSIC）算法已被证明适合作为检测异常目标的微波成像技术，但其存在一个根本性限制：需要借助开关器件才能实现天线同时收发信号。本文基于散射参数数据设计了一种MUSIC型成像函数用于探测微小异常，并探究了其数学结构。通过分析所研究的结构，我们确认成像性能高度依赖于天线构型，并提出了一种增强成像性能的天线布局方案。仿真结果使用合成数据验证了理论结论。