35986841_10216840653711318_1105697261150535680_n
Local cover image
Local cover image

Compressive Array for Direction of Arrival Estimation // GP // Dr. Mohamed G. Ibrahim (2018 - 2019)

By: Contributor(s): Material type: TextTextSeries: ENGINEERING DISTINGUISHED PROJECTS 2019Publication details: Giza : MSA, 2019.Description: 68 PSubject(s): Online resources: Summary: Direction of Arrival has been one of the most active fields for the past decades, due to the increase of its usage in many fields in communication and networks, studies and research have been conducted to utilize its hardware complexity. Some compressive techniques were used to help in the desired outcome for the Directional of Arrival (DoA), namely the Compressive sensing (CS) technique. This paper proposes a CS based DoA using the Antenna array under the name of Compressive Arrays for Direction of Arrival Estimation.
List(s) this item appears in: Engineering D. G. P 2018 / 2019
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Distinguished Graduation Projects Distinguished Graduation Projects Centeral Library Soft Copy located on library Cataloge GP33ENG2019ElectricalEngineering (Browse shelf(Opens below)) Available 82108
Browsing Centeral Library shelves, Shelving location: Soft Copy located on library Cataloge Close shelf browser (Hides shelf browser)
No cover image available
No cover image available
No cover image available
No cover image available
No cover image available
No cover image available
No cover image available
GP338MGT2019MKT Measuring the consumer attitude towards co-creation process and its effect on consumer engagement and customer loyalty Applied on: IKEA // GP // Dr. Ibrahim Al-Sahouly // (2018 - 2019) GP339MGT2019MKT Measuring the effect of perception towards e-government services on the citizen’s engagement and citizen’s trust applied on Egypt // GP // Prof. Dr. Ahmed Samir // Dr. Ibrahim Al-Sahouly (2018 - 2019) GP33DENT2019 The application of new technology in periodontal field “Augmented Reality” \\ GP \\ Prof. Dr. Naglaa El-Wakeel ( 2018-2019 ) GP33ENG2019ElectricalEngineering Compressive Array for Direction of Arrival Estimation // GP // Dr. Mohamed G. Ibrahim (2018 - 2019) GP33PH2018A.Chem Development of photochemical methods for water treatment RS502 // GP // DR. Christine Maged // TA. Lamice Abdelrahman (2017-2018) GP33PH2018CL.Pharmacy Pharmacokinetics and pharmacogenomics of cyclophosphamide in Rhabdomyosarcoma patients الحرائك الدوائية وعلم الأدوية الدوائي للسيكلوفوسفاميد في مرضى ساركومة العضلية // GP // DR.Rania Mohamed Labib // TA. Salma Wagih (2017-2018) GP33PH2019 - OCHEM Design, synthesis and biological activity of phenolic derivatives of oat active constituents // GP // Dr. Aliaa Mohammed Kamal // A.L. Enas Galal (2018 - 2019)

Faculty of Engineering - Department of Electrical Communication and Electronics Systems

Direction of Arrival has been one of the most active fields for the past decades,
due to the increase of its usage in many fields in communication and networks, studies
and research have been conducted to utilize its hardware complexity. Some compressive
techniques were used to help in the desired outcome for the Directional of Arrival (DoA),
namely the Compressive sensing (CS) technique. This paper proposes a CS based DoA
using the Antenna array under the name of Compressive Arrays for Direction of Arrival
Estimation.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image