Performance analysis for Estimation of signal Parameters via Rotational Invariance Technique (ESPRIT) in estimating Direction of Arrival for linear array antenna

Khan, Zuhani Ismail; Awang, Robi'atun Adayiah; Sulaiman, Alawi; Jusoh, Mohamad Huzaimy; Baba, Noor Hasimah; Kamal, Mustaffa; Khan, Naveed Iqbal

doi:10.1109/rfm.2008.4897466

Cited by 16 publications

(8 citation statements)

References 5 publications

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“…4 that the estimation accuracy increases with increasing the distance between sub-ULA groups. 3 ) flops [19]. Also it notes from this Table that due to parallel processing the developed ESPRIT algorithm requires only about 38% of the computational time that required in the TS-ESPRIT algorithm.…”

Section: Simulation Results and Comparisonsmentioning

confidence: 97%

Doppler Correction to Improve TS-ESPRIT Algorithm Used in NULA

Fayad¹,

Wang²,

Cao³

2015

IJMO

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Abstract-In this paper a modified ESPRIT algorithm based on time subspace (T-ESPRIT) and spatial subspace of estimate 1D-DOA (elevation) of a radiated source to increase the estimation accuracy with low computational load is introduced. Firstly, this algorithm treats with non uniform linear (NULA) array as a multiple sub-uniform linear arrays (ULA) with the common reference point, and the T-ESPRIT method is applied within each sub-ULA. Secondly, in order to increase the estimation accuracy, the estimated DOA is corrected with Doppler frequency (fd) which induced by target movement. Moreover, the proposed algorithm is combined the refined T-ESPRIT method with time differential of arrival (TDOA) technique to form TS-ESPRIT algorithm which calculates an optimum DOA. The estimated results are better than the traditional ESPRIT methods leading to the estimator performance enhancement.

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Section: Simulation Results and Comparisonsmentioning

confidence: 97%

Doppler Correction to Improve TS-ESPRIT Algorithm Used in NULA

Fayad¹,

Wang²,

Cao³

2015

IJMO

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“…Estimation of Signal Parameters by Rotational Invariance Technique (ESPRIT) [62] explores the rotational invariance property in the signal subspace. The guiding principle of ESPRIT is closely related to that of Matrix Pencil [63,64]. ESPRIT estimates the frequencies ( = 1, … , ) as arg( ) (for argument or phase angle) where s are the eigenvalues of the matrix Φ as follows:…”

Section: Esprit Methodsmentioning

confidence: 99%

A comparative study of signal processing methods for structural health monitoring

Qarib¹,

Adeli²

2016

J. vibroeng.

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In this paper four non-parametric and five parametric signal processing techniques are reviewed and their performances are compared through application to a sample exponentially damped synthetic signal with closely-spaced frequencies representing the ambient response of structures. The non-parametric methods are Fourier transform, periodogram estimate of power spectral density, wavelet transform, and empirical mode decomposition with Hilbert spectral analysis (Hilbert-Huang transform). The parametric methods are pseudospectrum estimate using the multiple signal categorization (MUSIC), empirical wavelet transform, approximate Prony method, matrix pencil method, and the estimation of signal parameters by rotational invariance technique (ESPRIT) method. The performances of different methods are studied statistically using the Monte Carlo simulation and the results are presented in terms of average errors of multiple sample analyses.

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“…This algorithm is more robust with respect to array imperfections than MUSIC [9], [14], [15]. Computation complexity and storage requirements are lower than MUSIC as it does not involve extensive search throughout all possible steering vectors.…”

Section: Its Acronym Stands For Estimation Of Signal Paramter Via Rotmentioning

confidence: 99%

Application of DOA Estimation Algorithms in Smart Antennas Systems

Shendkar¹,

Šimunić²,

Djurek³

2010

SIC

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Concept of wireless communication systems which use smart antennas is based on digital signal processing algorithms. Thus, the smart antennas systems become capable to locate and track signals by both: users and interferers and dynamically adapts the antenna pattern to enhance the reception in Signal-Of-Interest direction and minimizing interference in Signal-Of-Not-Interest direction. Hence, Space Division Multiple Access system, which uses smart antennas, is being used more often in wireless communications, because it shows improvement in channel capacity and co-channel interference. However, performance of smart antenna system greatly depends on efficiency of digital signal processing algorithms. The algorithm uses the Direction of Arrival (DOA) algorithms to estimate the number of incidents plane waves on the antenna array and their angle of incidence. This paper investigates performance of the DOA algorithms such as MUSIC, ESPRIT and ROOT MUSIC on the uniform linear array in the presence of white noise. The simulation results show that MUSIC algorithm is the best. The resolution of the DOA techniques improves as number of snapshots, number of array elements and signal-to-noise ratio increases.

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Performance analysis for Estimation of signal Parameters via Rotational Invariance Technique (ESPRIT) in estimating Direction of Arrival for linear array antenna

Cited by 16 publications

References 5 publications

Doppler Correction to Improve TS-ESPRIT Algorithm Used in NULA

Doppler Correction to Improve TS-ESPRIT Algorithm Used in NULA

A comparative study of signal processing methods for structural health monitoring

Application of DOA Estimation Algorithms in Smart Antennas Systems

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