Sparse sensor array design via constrained optimization

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2013

Öğrenci: GÖKHAN GÖK

Danışman: TEMEL ENGİN TUNCER

Özet:

In direction finding applications, sparse array design is an important problem. Sparse arrays are desired when the number of receivers are limited or when sensor size is large compared to half wavelength. When the sparse array design with inter element spacing greater than half wavelength is considered, ambiguity should be avoided as much as possible. The design should generate array patterns without grating lobes. In this thesis, a similarity measure related to ambiguity probability is used to design sparse arrays. This measure is also related to the DOA estimation accuracy and resolution. The design problem setting is cast in a form suitable for linear binary programming. The design criteria includes worst-case ambiguity probability, DOA accuracy, sensor dimensions and maximum array aperture. The proposed approach is used to design one and two dimensional sparse arrays. It is shown that the proposed approach is effective and presents certain advantages compared to the alternative methods.