Study and design narrow band phase shift beamformer

Zalawadia, Khyati R.; Doshi, Twinkle V.; Dalal, Upena D.

doi:10.1109/issp.2013.6526910

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…The means by which the optimization is executed is targeted through a set of rules designed for that reason. [7,8]. Historically, adaptive beamforming has been employed more often in sonar and radar systems.…”

Section: Adaptive Beamformingmentioning

confidence: 99%

HW-CMA and HW-LS-CMA Blind Learning Method for Intelligent Antenna System

Pandhare

Zalawadia

2021

Advances in Intelligent Systems and Computing

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The trend in the conception of future satellite system and modern communication systems are undoubtedly in the direction of the use of digital beamformer. These systems will include many digital links. These beamformer needs to control their weights adaptively for build intelligent systems. For controlling these weights, various blind and nonblind algorithm apply as per applications. Blind learning process is based on constant modulus algorithm (CMA) and least square CMA (LS-CMA) analyses. Also, to improve converge area and side lob level reduction, modified Hamming window-based algorithm to constant modulus algorithm and least square simulate using MATLAB. These algorithms are validated for linear, circular and planar antenna array geometry.

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Section: Adaptive Beamformingmentioning

confidence: 99%

HW-CMA and HW-LS-CMA Blind Learning Method for Intelligent Antenna System

Pandhare

Zalawadia

2021

Advances in Intelligent Systems and Computing

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“…It uses least mean square algorithm for processing the signal and to eradicate the interference signals. This methodology is mainly used in terrestrial radar application [17]. To increase the throughput and to reduce the area consumption pipelined architecture-based beamformers can be used.…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of an Efficient Phase Shift Beamformer for Narrow Band Sub-GHz Applications

Jeyakumar¹,

Dhamodaran²,

Thanapal

et al. 2022

Preprint

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Beams are formed by multi-element arrays. These beams are focused on the direction of arriving signals, with an intention of maximizing the received signal power. The signals with noise and interference arrived from a distinct direction will be estimated by ULA (Uniform Linear Array) with 10 antenna elements. An emerging signal will be phase-shifted with the help of phase shift beamformer. The vector angle is computed from the signal cluster by using Coordinate Rotation Digital Computer (CORDIC) algorithm. This algorithm can be employed in the view of finding phase shift and frequency offset. As Beamformer assumes the incoming signal as narrow banded, a phase shift can approximate the required delay and perpetuates the incoming signal strength. The beamformer is implemented in Xilinx Vivado for simulation and synthesized using both Virtex-7 and Spartan-7 FPGA devices and their results are compared. From the obtained results, it is evident that the proposed design is formidable pertaining to power and delay. This design can operate at 100MHZ with total on-chip power consumption of 725mW.

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