Microwave Imaging via Adaptive Beamforming Methods for Breast Cancer Detection
Ultra-wideband (UWB) Microwave imaging (MWI) is a promising breast cancer detection technology which exploits the significant contrast in dielectric properties between normal breast tissue and tumor. Previously,data-independent methods,such as delay-and-sum (DAS) and space-time (ST) beamforming,have been used for microwave imaging. However, the low resolution and the poor interference suppression capability associated with the data-independent methods restrict their use in practice,especially when the noise is high and the backscattered signals are weak. In this paper,we develop two data-adaptive methods for microwave imaging,which are referred to as the robust weighted Capon beamforming (RWCB) method and the amplitude and phase estimation (APES) method. Due to their data-adaptive nature, these methods outperform their dataindependent counterparts in terms of improved resolution and reduced sidelobe levels.
Bin Guo Yanwei Wang Jian Li Petre Stoica Renbiao Wu
University of Florida,U.S.A. Uppsala University,Sweden Civil Aviation University of China,China
国际会议
Progress in Electromagnetics Research Symposium 2005(2005年电磁学研究新进展学术研讨会)(PIERS 2005)
杭州
英文
350-353
2005-08-22（万方平台首次上网日期，不代表论文的发表时间）