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An FPGA Implementation of Digital Architecture to Estimate the Direction of Arrival for Adaptive Array Antenna Based on Matrix Pencil TechniqueAuthor: Soumitr Sanjay Dubey Date: 20180703 Report no: IIIT/TH/2018/30 Advisor:Shubhajit Roy Chowdhury AbstractThis thesis proposes the development of an FPGA prototype to estimate the direction of arrival for adaptive array antenna based on matrix pencil technique.With the passage of time, there is need for more data rates however due to the limitation of natural frequency we have to look for other alternatives. Therefore, people have started other ways to increase the frequency like angle, code, geographical space, etc. In this thesis, we will be concentrating on angle dimension. In estimating Direction of Arrival (DOA), the most important step is to calculate the eigenvalues of matrix. Literature survey reveals that limited work has been carried out to compute the eigenvalues of an asymmetric matrix from implementation perspective. Therefore a new approach to calculate the eigenvalues of matrix has been described. In this work we present a method to estimate the DOA, known as Matrix Pencil which is a key technique to estimate the DOA for adaptive array antenna for cellular wireless base stations. This thesis describes the hardware implementation of Matrix Pencil on FPGA. Matrix Pencil uses QR algorithm for the calculation of eigenvalues which is the most critical part of the system. In order to accelerate and increase the efficiency of the system it utilises Triangular Systolic Array (TSA) architecture to compute the eigenvalues of the system. Matrix Pencil is found to yield better results than its peer algorithms like MUSIC, ESPIRIT. When processing have to be performed in coherent environment and when there is small number of snapshots available. The power consumed by the design is 0.65W. Maximum frequency which can be achieved by the system is 900MHz. Latency of our design is 2.7 mS which is approximately 28 times faster than general purpose computer based solution. Full thesis: pdf Centre for VLSI and Embeded Systems Technology 

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