Nizar m Tayem

Nizar m Tayem
Texas A&M University-Commerce · Department of Engineering and Technology

PhD in Electrical Engineering

About

67
Publications
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608
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Introduction
Nizar m Tayem currently works at the Electrical Engineering, Texas A & M University-Commerce . Nizar does research in Communication Engineering, Control Systems Engineering and Electronic Engineering. Their most recent publication is 'FPGA Hardware Implementation of DOA Estimation Algorithm Employing LU Decomposition'.

Publications

Publications (67)
Conference Paper
The tremendous demand for water in the agricultural sector in Saudi Arabia poses a great challenge to the government. Bluntly regulating the water supply to farms as a solution for this challenge is not an option, because farming is one of the most important businesses, and it should not be threatened. A substantial percentage of that demanded wate...
Conference Paper
Full-text available
A Capstone Senior Design project encompasses all ABET learning outcomes as it summarizes all the essential technical and non-technical skills a higher learning institution prepares its graduates to acquire and apply. A successful and high quality senior design project is proof of the quality of education offered by a higher institute of learning, t...
Conference Paper
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A robust engineering program assessment, evaluation, and continuous improvement process is at the core of ABET accreditation and is essential to establishing and sustaining a quality undergraduate program in engineering. In this paper, the authors present their unique experience and lessons learnt in the process of achieving ABET accreditation for...
Conference Paper
Full-text available
Matrix operations form the core of array signal processing algorithms such as those required for direction of arrival (DOA) angle estimation of radio frequency signals incident on an antenna array. In this paper, we present a performance comparison of matrix decomposition methods for efficient FPGA hardware implementation of DOA estimation algorith...
Article
Full-text available
Hardware implementation of proposed direction of arrival (DOA) estimation algorithms based on Cholesky and LDL decomposition is presented in this paper. The proposed algorithms are implemented for execution on an FPGA (field programmable gate array) as well as a PC (running LabVIEW) for multiple non-coherent sources located in the far-field region...
Article
In this paper, we addressed the problem of estimating the two-dimensional (2D) Direction of Arrival (DOA) elevation and azimuth angles for multiple sources. The proposed method employs Propagator Method (PM) in conjunction with parallel factor (PARAFAC) model using a new antenna array configuration. The proposed method overcomes two main drawbacks...
Experiment Findings
Full-text available
FPGA Hardware Implementation and Experimental Verification of Direction-of-Arrival Estimation Algorithm Using LU Decomposition Use link below for full case study http://sine.ni.com/cs/app/doc/p/id/cs-17700
Article
In this paper, authors present their work on FPGA hardware implementation of proposed direction of arrival (DOA) estimation algorithms employing LU factorization. Both L and U matrices were considered in computing the angle estimates. Hardware implementation was done on a Virtex-5 FPGA and its experimental verification was performed using National...
Article
In this paper, the problem of estimating the two-dimensional direction of arrival angles with automatic pair matching for multiple non-coherent sources is presented. The proposed method employs Cholesky factorization for a Hermitian positive-definite covariance matrix in conjunction with parallel factor (PARAFAC) and trilinear alternative least squ...
Article
Full-text available
Two-dimensional (2D) Direction-of-Arrivals (DOA) estimation for elevation and azimuth angles assuming noncoherent, mixture of coherent and noncoherent, and coherent sources using extended three parallel uniform linear arrays (ULAs) is proposed. Most of the existing schemes have drawbacks in estimating 2D DOA for multiple narrowband incident sources...
Article
In this paper, we present six subspace decomposition based methods for joint time of arrival (TOA) and frequency of arrival (FOA) estimation of multiple incident sources. These are LU-TLS, QR-TLS, direct TSQR-TLS, direct TSLU-TLS, parallel TSQR-TLS, and parallel TSLU-TLS. The direct and parallel TSQR/TSLU-TLS are recently developed methods in subsp...
Article
Full-text available
We addressed the problem of two-dimensional (2D) direction-of-arrival (DOA) elevation and azimuth angles estimation for multiple uncorrelated signals using L-shaped antenna array configuration. The key points of the proposed method are the following: ( 1 ) it obtains azimuth and elevation angles through construction of three cross-correlation matri...
Article
Full-text available
Two dimensional (2D) direction-of-arrival (DOA) elevation and azimuth angles estimation for uncorrelated sources using L-shaped array is presented in this letter. The key points of the proposed method are: 1) The proposed scheme obtains the cross-correlation matrix between the sub-arrays data to construct a data matrix with free noise; 2) employ on...
Article
In this paper, we present a novel direction of arrival (DOA) estimation method for multiple incident RF sources. The proposed method finds the information about the signal and noise subspaces from the R matrix of the QR factorized received data matrix. The angle of the signal arrival is estimated from the signal subspace using similar approach as e...
Conference Paper
In this paper, we present an experimental implementation of two well-known algorithms for direction of arrival (DOA) estimation of multiple incident source signals called. These methods are Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT). The algorithms are programmed in Lab V...
Conference Paper
Full-text available
In this paper we present two computationally efficient methods for computing the past and future input-output data for subspace system identification. The proposed methods employ Direct and Parallel QR decomposition for tall and skinny matrix where many more rows than columns are involved. Data matrix of deterministic and stochastic system has been...
Article
In this paper, we present five different approaches to estimate direction of arrival (DOA) of multiple incident RF sources. The proposed methods are based on extracting the signal and noise subspaces from the Q matrix, R matrix, or both Q and R matrices of the QR decomposed received d ata matrix. The angle of the signal arrival is extracted from th...
Article
This paper presents a novel method for the two-dimensional direction of arrival (DOA) estimation based on QR decomposition. A configuration with two uniform linear antenna arrays (ULAs) is employed for the joint estimation of elevation (θ) and azimuth (φ) angles. Q data matrix will estimate the azimuth angle while R data matrix will estimate the el...
Conference Paper
A subspace decomposition based algorithm for joint frequency of arrival (FOA) and direction of arrival (DOA) estimation is presented in this paper. The proposed method termed as QR-TLS ESPRIT, estimates the signal subspace by decomposing the received signal in a specially formed Toeplitz matrix. The structure of the matrix favors the application of...
Conference Paper
In this paper we present two methods for joint estimation of time of arrival (TOA) and frequency of arrival (FOA) for multiple incident sources based on the subspace decomposition techniques called QR-TLS and TSQR-TLS. The proposed methods employ a pair of spatially separated sensors to receive the multiple incident source signals. A data matrix is...
Article
Full-text available
In this paper, we present an experimental verification of a novel QR-TLS algorithm. Two other algorithms for direction of arrival (DOA) estimation of multiple incident source signals called multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance techniques (ESPRIT) are implemented on a National Instrumen...
Conference Paper
This paper presents an efficient scheme for a two-dimensional (2-D) direction of arrival angle estimation (DOA) for multiple incident sources in the presence of coherent signals. A new antenna array configuration and innovative signal processing technique are presented. Compared with the well-known classical subspace schemes such as MUSIC and ESPRI...
Conference Paper
This paper presents an efficient scheme for a two-dimensional (2-D) direction of arrival angle estimation (DOA) for multiple incident sources in the presence of coherent signals. A new antenna array configuration and innovative signal processing technique are presented. Compared with the well-known classical subspace schemes such as MUSIC and ESPRI...
Article
Full-text available
In this paper, the multi-path time delay estimation problem for a Slow Frequency Hopping (SFH) system using the Propagator Method (PM) is considered. Two novel techniques are proposed. The first technique is developed by applying the Propagator Method (PM) in association with the well-known MUSIC algorithm. Based on the proposed technique a highly...
Conference Paper
Most of the array signal processing methods for the estimation of the direction of arrival angle estimation (DOA) for multiple incident sources are based on the far-field assumption. When the sources are located close to the antenna array, these methods are no longer valid. In this paper, a new method is presented for the joint range and DOA estima...
Conference Paper
Carrier Frequency Offset (CFO) is one of the major drawbacks of the Multi Carrier Modulation (MCM) technique. Blind, semiblind and data-aided techniques have been introduced to estimate the CFO. In this paper, a new blind CFO estimator based on the Matrix Pencil (MP) method is proposed. A closed-form solution of this generalized eigenvalue problem...
Article
Full-text available
In this letter, we addressed the problem of estimating the time delay and the frequencies of noisy sinusoidal signals received at two spatially separated sensors. We employ the Propagator Method (PM) in conjunction with the well-known MUSIC/root-MUSIC algorithm; the proposed method would generate estimates of the unknown parameters. Such estimates...
Conference Paper
In this paper, we proposed a closed form solution for blind orthogonal frequency division multiplexing (OFDM) carrier frequency offset (CFO) estimation employing the rank- revealing QR triangular factorization method (RRQR). The advantage of using the RRQR it gives precious information about numerical rank and efficiently separates the signal space...
Conference Paper
The rank-revealing QR factorization (RRQR) is a valuable tool in numerical linear algebra because it provides accurate information about rank and numerical null-space. In this paper, we addressed the problem of estimating the time delay and the frequencies of noisy sinusoidal signals received at two spatially separated sensors using the well known...
Conference Paper
Full-text available
In this paper, the multipath time delay estimation (TDE) problem for a slow frequency hopping (SFH) system using rank revealing QR factorization method (RRQR) is considered. It gives precious information about numerical rank and null space. By applying the RRQR in association with the well-known MUSIC algorithm we achieved a highly efficient estima...
Conference Paper
Estimating the channel state information (CSI) of several transmitters that use orthogonal space-time block codes (OSTBC) to communicate with a single receiver is considered. Based on rank revealing QR (RRQR) factorization and propagator method (PM), two new algorithms to estimate multiuser MIMO channels are proposed. The algorithm estimates the su...
Conference Paper
Orthogonal frequency division multiplexing (OFDM) is a promising technique to handle impairments of multipath channel. Alternatively, one of its major drawbacks is the drift in reference carrier, which is known as carrier frequency offset (CFO). Hence, the CFO should be estimated and compensated with a sufficient accuracy. In this paper, a new algo...
Conference Paper
Joint Time Delay and Frequency Estimation (JTDFE) problem of complex sinusoidal signals received at two separated sensors is an attractive problem that has been studied for many engineering applications. In this paper, the Rank-Revealing QR factorization is applied to the real data matrix obtained via the unitary transformation of the square Toepli...
Article
Full-text available
Direction-of-arrival (DOA) estimation of radio signals is of utmost importance in many commercial and military applications. In this study, the authors propose an efficient field-programmable gate array (FPGA) architecture for implementing a recently published DOA estimation algorithm. This algorithm estimates DOAs by making use of QR decomposition...
Conference Paper
A novel method of estimating the differential delay of a sinusoidal signal is considered. The new method utilizes the propagator method (PM) which does not require the eigen-decomposition of the cross-spectral matrix (CSM) in estimating the delay of a signal received at two separated sensors. Moreover, the proposed method would generate estimates o...
Conference Paper
Full-text available
This paper introduces a modified UCA- ESPRIT algorithm to estimate the direction of arrival (DOA) of coherent signals using one single snapshot. First, the mode excitation method is used to transform the uniform circular array (UCA) in element space into a virtual uniform linear array (VULA) in mode space. Then, the Hermitian Toeplitz matrix can be...
Article
Full-text available
In this reply to the paper by Shu, Liu and Lu (see ibid., p.1502-3, 2008), a novel method with low-complexity, but showing neither estimation failure nor the pair-matching problems, is described for the two-dimensional DOA estimation. The authors in the previous papers (Kikuchi et al., 2006; Gu et al, 2008)also proposed two methods different from t...
Conference Paper
Full-text available
This paper presents two methods to estimate the two dimensional (2-D) direction of arrival (DOA) for coherent and non-coherent sources. The proposed methods have many advantages over existing schemes. First, they construct the data from a single snapshot in a Toeplitz form, whose rank is directly related to the DOA of signals, whether the signals a...
Conference Paper
Several works in the area of angle of arrival (AOA) estimation show that the linear methods such as the propagator method have much lower computational complexity than methods such as MUSIC and Matrix Pencil which are based on eigenvalue decomposition (EVD) or singular value decomposition (SVD) techniques. In this paper, we first present a novel me...
Conference Paper
Full-text available
This paper proposes a method for direction of arrival (DOA) estimation which can be applied in case of both non-coherent and coherent sources. In comparison to the well-known subspace algorithms such as MUSIC, the proposed method has several advantages. First, in contrast to MUSIC, no forward/backward spatial smoothing for the covariance matrix is...
Article
A new spectral direction of arrival (DOA) estimation algorithm is proposed that can rapidly estimate the DOA of non-coherent as well as coherent incident signals. As such the algorithm is effective for DOA estimation in multi-path environments. The proposed method constructs a data model based on a Hermitian Toeplitz matrix whose rank is related to...
Article
Full-text available
The authors reply to comments made by Jean-Pierre Delmas (see ibid., vol.55, no.2, p.511, Feb. 2007) on their original article (see ibid., vol.52, no.10, p.2618-24, Oct. 2004)
Conference Paper
In this paper, we propose an algorithm to estimate the one- and two-dimensional direction of arrival angles (DOAs) from the coherent incident sources. We can apply our proposed algorithm for more practical situations even when the unknown noise covariance matrix is in a complex symmetric Toeplitz form; whereas the Prasad's method requires that the...
Conference Paper
This paper proposes an improved matrix pencil (MP) algorithm for estimation of non- circular, narrow-band, and coherent signal direction of arrival angles (DOAs). The MP method has advantages over the conventional subspace-based algorithms such as MUSIC and ESPRIT. For example, the MP method does not require multiple snapshots and spatial smoothing...
Conference Paper
This paper proposes an improved two-dimensional (2-D) root MUSIC algorithm for non-circular sources. The proposed method has many advantages over conventional root MUSIC algorithms. First, it requires no pair matching between the azimuth and elevation angle estimation, whereas conventional 2-D root MUSIC algorithms require an exhaustive pair-matchi...
Conference Paper
This paper proposes a method for the direction of arrival (DOA) estimation for non-circular sources, such as binary phase shift keying (BPSK) and M-ary amplitude shift keying (MASK). The proposed scheme can be applied to both scenarios; the sources are noncoherent or coherent. Comparisons that are made with the well-known classical subspace algorit...
Conference Paper
A new algorithm is introduced in this paper that estimates one dimension direction of arrivals utilizing coherent and noncoherent non-circular sources. Examples of such sources are binary shift keying (BPSK) and M-ary amplitude shift keying (MASK). This algorithm presents several advantages over the classical subspace algorithms such as Root MUSIC...
Article
Recently, Wu et al. proposed a scheme for two-dimensional direction of arrival angle estimation for azimuth and elevation angles, using the propagator method. An advantage of this method over the classical subspace based algorithms, such as ESPRIT and MUSIC, is that it does not apply any eigenvalue decomposition (EVD) to the cross spectral matrix o...
Conference Paper
This paper proposes a method to find the direction of arrival angles (DOAs) from correlated sources under an unknown noise environment. This paper assumes a symmetric Toeplitz covariance matrix for the unknown noise. The proposed method has three advantages over the Prasad's method in S. Prasad et al. (1988). First, the numbers of sensors M in our...
Conference Paper
The objective of this paper is to estimate frequency of arrival (FOA) and two-dimensional (2-D) direction of arrival angles (DOAs) from multiple narrowband sources. The proposed method employs a propagator method (PM) whose complexity is simpler than the previous DOA and FOA algorithms which typically use eigen-value decomposition (EVD) or singular...
Conference Paper
Recently, Wu et al. proposed a scheme for two-dimensional (2-D) direction of arrival angle estimation (DOA) for azimuth and elevation angles, using the propagator method (PM). An advantage of this method over the classical subspace based algorithms, such as ESPRIT and MUSIC, is that it does not apply any eigenvalue decomposition (EVD) to the cross...
Conference Paper
Full-text available
Most methods for direction of arrival angle (DOA) estimation with array processing assume spatially white Gaussian noise of a known covariance matrix. However, the additive sensor noise in a practical situation may not be known. The paper presents a DOA estimation scheme for correlated sources including uncorrelated ones under an unknown spatially...
Conference Paper
In this paper, we employ the propagator method (PM) to find the direction of arrival angles (DOAs) from the incident sources without any eigen decomposition. This can reduce the complexity when compared to eigen subspace method such as MUSIC algorithm. Also, we apply our proposed algorithm in the situation when the incident sources are uncorrelated...
Conference Paper
Full-text available
It is known that the computational load of the propagator method (PM) can be significantly smaller, e.g., one or two orders, than those of MUSIC and ESPRIT because the PM does not require any eigenvalue decomposition (EVD) of the cross-correlation matrix and singular value decomposition (SVD) of the received data. However, the PM has non-negligible...
Conference Paper
The objective of this paper is to study a method which can estimate DOAs for a general situation, i.e., cohere pair/noncoherent source and correlated/uncorrelated unknown noise environments. The proposed method employs the difference between the FB averaging of the covariance matrix and its transformation to eliminate or reduce the noise effects. T...
Article
Abastract - This paper proposes a method to find the 2dimensional (2-D) direction of arrival angles (DOAs) from correlated sources under an unknown noise environment. This paper assumes a symmetric Toeplitz covariance matrix for the unknown noise. The proposed method employs the root MUSIC algorithm with the covariance matrix difference between a u...
Article
Full-text available
Recently, Wu et al. proposed a scheme for two- dimensional (2-D) direction of arrival angle estimation (DOA) for azimuth and elevation angles, using the propagator method (PM). An advantage of this method over the classical subspace based algorithms, such as ESPRIT and MUSIC, is that it does not apply any eigenvalue decomposition (EVD) to the cross...
Conference Paper
The paper employs the propagator method (PM) to find two-dimensional (2D) direction of arrival angles (DOAs). The proposed algorithm can be applied to the situation when the incident sources are mixed, either with uncorrelated or fully correlated (coherent) sources. Like S. Pasad et al. (see IEEE Trans., vol.ASSP-36, no.5, p.631-41, 1988), we assum...
Conference Paper
In this paper, we employ the propagator method (PM) to find the direction of arrival angles (DOAs) from the incident sources without any eigendecomposition. This can reduce complexity when compared to eigensubspace methods such as forward/backward spatial smoothing, which requires eigenvalue decomposition (EVD). Also, we apply our proposed algorith...
Article
In this paper, we present an algorithm to estimate the direction of the arrival angles (DOAs) from noncoherent one-dimensional (1-D) signal sources such as binary phase shift keying (BPSK) and M-ary amplitude shift keying (MASK). The proposed algorithm can provide a more precise DOA estimation and can detect more signals than well-known classical s...
Conference Paper
Recently, a virtual estimation of signal parameters rotational invariance technique (V-ESPRIT) has been proposed for 2D estimation, i.e., the azimuth and elevation angles from the sources. This paper is concerned with applying the propagator method (PM) to the V-ESPRIT, called "PMV-ESPRIT" to reduce the computational complexity further for 2D sourc...

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We proposed 2-D DOA estimation algorithm using L-shaped array. The proposed technique makes use of cross-correlation information of the signals from uncorrelated sources at the antenna arrays. It has better angle estimation with no failure in practical mobile elevation angle range (70 to 90 degrees). The performance is improved and complexity is greatly reduced as compared to the existing schemes. One of the main problems in 2-D DOA estimation is matching the estimated elevation and azimuth angles for multiple sources. Following are the current challenges. - reducing the estimation complexity - dealing with coherent sources at low SNR values - pair-matching for multiple sources