چكيده به لاتين
In recent years there has been much research about passive estimation of DOA and range of signals impinging on an array. The source location estimation can be applicable in many contexts such as localization of Bio, sound, radar, sonar signals and communication. Many methods has been proposed to localize two near-field and far-field kinds of signal sources. The most popular methods are eigenstructure algorithms which are based on MUSIC. These algorithms are close to CRB in precision and have acceptable computational load.
In contexts like TWR or speaker localization in a closed environment, due to existance of a common source and multipath, signals impinging on the array are coherent. The conventional algorithms in near-field scenario cannot localize such fully correlated signals. Meanwhile, there are some methods in the literature which are capable of localizing far-field coherent signal sources and are not applicable for near-field case. In this thesis, a method based on planar array design is proposed by which it can localize fully coherent near-field sources based on eigenstructure techniques. In addition, designing a planar array when a far-field or near-field source exists is studied for achieving high estimation accuracy. Finally, near-field source localization in the case of path loss existence between source and array sensors is considered.
