Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Advances in angle-of-arrival and multidimensional signal processing for localization and communications | Mailaender et al. EURASIP Journal on Advances in Signal Processing 2011 2011 94 http content 2011 1 94 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal EDITORIAL Open Access Advances in angle-of-arrival and multidimensional signal processing for localization and communications Laurence Mailaender1 Sofiene Affes2 Markku Juntti3 and Marius Pesavento4 Our ability to determine the direction-of-arrival of a transmitted signal via antenna arrays has improved dramatically in recent years. The invention of the multiple signal classification MUSIC and estimation of signal parameters via rotational invariant techniques ESPRIT algorithms enabled performance exceeding the resolution limit prescribed by the array dimensions so-called super-resolution . Applications include localization and tracking of airborne undersea or ground-based targets civilian search and rescue operations emergency caller location via cell towers precision aircraft navigation and landing characterization and modeling of spa-tial temporal channels and future location-based services in cellular networks. Angle estimation becomes especially challenging when multipath interference array miscalibration or source correlation is encountered. Most textbook treatments of this topic cover only one-dimensional 1D angle estimation implying that the source s movement takes place in the plane of the array. The extension to two-dimensional 2D AOA azimuth and elevation is not only necessary for many real-world applications but introduces new problems and challenges that do not occur in the 1D case. Furthermore angular measurements may be combined with other modalities such as Doppler delay delay-difference polarization received power etc. necessitating a multi-dimensional M-D approach to direction-finding location determination or parametric MIMO channel modeling. Relevant problems involve so-called pair matching or parameter association between sets of independently .
