Performance Analysis of Adaptive Array Signal Processing Algorithms

Sharma, Abhinav; Mathur, Sanjay

doi:10.1080/02564602.2015.1088411

Cited by 34 publications

(16 citation statements)

References 75 publications

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“…In DOA estimation, the locations of the sources are assumed to be at the far‐field region with respect to the receiver array, so that the array collects the impinging radiation in the form of plane waves [23]. In addition, the transmission medium is presumed to be non‐dispersive and isotropic in nature [24]. From Fig.…”

Section: Array Model and Problem Descriptionmentioning

confidence: 99%

Robust direction of arrival estimation approach for unmanned aerial vehicles at low signal‐to‐noise ratios

Lü

Yang

Liu

et al. 2019

IET signal process.

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The conventional methods used to estimate the direction of arrival (DOA) of linear frequency modulated (LFM) signals at low signal-to-noise ratios (SNRs), such as the echoes reflected by a small unmanned aerial vehicle (UAV), demonstrate major performance deterioration. In order to eliminate the problem and achieve highly accurate DOA estimation for low-SNR echoes, this paper proposes a novel estimation approach that applies two accumulative methods based on fractional Fourier transform (FrFT). According to the findings of this paper, the algorithm directly accumulates the FrFT result of each echo when it is not possible to determine in advance the speed of the target. When the radial velocity of the small UAV has been estimated ahead of time, the algorithm performs phase compensation to enhance the accumulative effect. Through coherent integration, the algorithm then extracts all the peaks of the target echo waveform, which are then used for the construction of a fractional autocorrelation matrix. Thereafter, multiple signal classification is employed for DOA estimation. Furthermore, with the proposed algorithm, the DOAs of multi-target echoes can be estimated accurately. The effectiveness of the proposed algorithm was verified using Monte-Carlo simulation trials, and the root-mean-square-error of DOA estimation was close to the Cramer-Rao bound.

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Section: Array Model and Problem Descriptionmentioning

confidence: 99%

Robust direction of arrival estimation approach for unmanned aerial vehicles at low signal‐to‐noise ratios

Lü

Yang

Liu

et al. 2019

IET signal process.

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“…Since then many ABF techniques have been proposed which dynamically shape the beam pattern of antenna array by applying appropriate excitation weights that vary with time. In (Godara, 1997;Sharma and Mathur, 2016) authors reviewed and compared the blind and non-blind ABF techniques, namely, least mean square, recursive least square, sample matrix inversion and constant modulus algorithm with presentation of simulation results.…”

Section: Reduced Side Lobe Level 2263mentioning

confidence: 99%

A novel adaptive beamforming with reduced side lobe level using GSA

Sharma

Mathur

2018

COMPEL

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Purpose The purpose of this paper is to present and solve the problem of adaptive beamforming (ABF) for a uniform linear array (ULA) as an optimization problem. ABF mainly concerns with estimation of weights of antenna array so as to direct the major lobe in the direction of desired user and nulls in the direction of interfering signals with reduced side lobe level (SLL). Design/methodology/approach The potential of gravitational search algorithm is explored to optimize multi-objective fitness function for ABF using MATLAB software. Findings The performance of the algorithm has been compared by considering different number of interference signals at different power levels. The proposed algorithm presents good convergence rate and accurate steering of main lobe and nulls with reduced SLL compared to the well-known ABF technique, namely, minimum variance distortionless response (MVDR) and previously reported results. The simulation results are presented in tabular form. Research limitations/implications The present work is limited to simulation. The researchers are encouraged to solve the problem of ABF using the proposed approach in hardware. Originality/value The application of proposed algorithm is to optimize multi-objective function for ABF with reduced SLL in linear antenna arrays.

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“…[ 5 ] Basically, all these algorithms are based on the hypothetic premise that phase‐array antennas are used in the DOA estimations. [ 6,7 ] However, the array antennas are usually accompanied with complex hardwares and high costs.…”

Section: Introductionmentioning

confidence: 99%

High‐Precision Direction‐of‐Arrival Estimations Using Digital Programmable Metasurface

Wang

Huang

Xiao

et al. 2021

Advanced Intelligent Systems

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Commonly, phased array antennas are used to provide spatial resolution for direction of arrival (DOA) estimations. However, the phase‐array‐based DOA estimations usually require complicated system architecture and signal processing. Digital programmable metasurfaces (DPMs) can realize flexible spatial modulations of electromagnetic (EM) waves without using massive transceivers, and hence can be used for DOA estimations with much simplified architectures. Here, a mechanism of DPM‐based DOA estimations at Ka band is proposed. A reflective DPM is designed to produce a series of dual beams in random, so as to establish a sensing matrix and sample the incident wave. Orthogonal matched pursuit algorithm is used to estimate DOA from the sparsely sampled datasets. The performances of the DPM‐based DOA estimations are demonstrated by simulations and experiments for the cases of single source and double sources. This work promotes the development of DPMs and is expected to find important applications in radar and wireless communication systems, as well as the joint radar and communication systems.

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Performance Analysis of Adaptive Array Signal Processing Algorithms

Cited by 34 publications

References 75 publications

Robust direction of arrival estimation approach for unmanned aerial vehicles at low signal‐to‐noise ratios

Robust direction of arrival estimation approach for unmanned aerial vehicles at low signal‐to‐noise ratios

A novel adaptive beamforming with reduced side lobe level using GSA

High‐Precision Direction‐of‐Arrival Estimations Using Digital Programmable Metasurface

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