• Title/Summary/Keyword: ESPRIT

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Performance Analysis of Modified ESPRIT Algorithm (개선된 ESPRIT 알고리즘의 성능분석)

  • 정철곤;김중규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.3B
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    • pp.259-265
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    • 2001
  • 도래각 추정을 위한 대표적인 알고리즘으로 고유치 분해방식을 이용한 ESPRIT 알고리즘이 있다. 이 알고리즘은 다중 신호의 도래각을 추정할 수 있을 뿐만 아니라, 낮은 SNR에서 뛰어난 분해능을 가지고 있다. 이러한 뛰어난 추정 능력에도 불구하고, ESPRIT 알고리즘은 서로 주파수와 위상이 같은 coherent 한 신호를 분해하지 못하는 커다란 결점을 가지고 있다. 본 논문에서는 이러한 보완한 개선된 ESPRIT (Modified ESPRIT )알고리즘을 제안한다. 개선된 ESPRIT 알고리즘 기존의 ESPRIT 에 spatial smoothing 방법을 도입하여 구성되어진다. 모의실험결과 개선된 ESPRIT 알고리즘은 coherent 하게 입사하는 신호의 도래각을 분해하는 능력에 있어서 매우 우수한 성능을 갖고 있음을 확인할 수 있다.

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A Study on Design and Implementation of Scalable Angle Estimator Based on ESPRIT Algorithm (ESPRIT 알고리즘 기반 재구성 가능한 각도 추정기 설계에 관한 연구)

  • Dohyun Lee;Byunghyun Kim;Jongwha Chong;Sungjin Lee;Kyeongyuk Min
    • Journal of IKEEE
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    • v.27 no.4
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    • pp.624-629
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    • 2023
  • Estimation of signal parameters via rotational invariance techniques (ESPRIT) is an algorithm that estimates the angle of a signal arriving at an array antenna using the shift invariance property of an array antenna. ESPRIT offers the good trade-off between performance and complexity. However, the ESPRIT algorithm still requires high-complexity operations such as covariance matrix and eigenvalue decomposition, so implementation with a hardware processor is essential to estimate the angle of arrival in real time. In addition, ESPRIT processors should have high performance. The performance is related to the number of antennas, and the number of antennas required for each application are different. Therefore, we proposed an ESPRIT processor that provides 2 to 8 variable antenna configurations to meet the performance and complexity requirements according to the applied field. The proposed ESPRIT processor was designed using the Verilog-HDL and implemented on a field programmable gate array (FPGA).

Harmonic and Interhamonic Detection and Estimation of Power Signal using Subband MUSIC/ESPRIT (부밴드 MUSIC/ESPRIT를 이용한 전력신호 고조파 및 중간고조파 검출 및 추정)

  • Choi, Hun;Bae, Hyeon-Deok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.1
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    • pp.149-158
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    • 2015
  • This paper proposes a subband filtering technique to the MUSIC and the ESPRIT algorithm for estimating the magnitude and frequency of the harmonics of power signal. In proposed method, the input power signal is decomposed to the odd harmonics and the even harmonics respectively by the filter bank system. The amplitude and the frequency estimation of the decomposed harmonics are carried out using the MUSIC and the ESPRIT method. Subband filtering can reduce the autocorrelation matrix size of input data, and spectrum leakage between adjacent harmonics. Therefore, this subband technique has advantage in computational cost and estimation accuracy compared to fullband MUSIC and ESPRIT. To demonstrate the performance of the method, computer simulations are performed to the synthesized input signal, and experiment results are compared in subband and fullband cases.

Efficient DOA Estimation of Coherent Signals Using ESPRIT (ESPRIT을 이용한 효율적인 코히런트 신호의 도래각 추정)

  • Choi, Yang-Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.164-171
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    • 2012
  • ESPRIT(Estimation of Signal Parameter via Rotational Invariance Techniques) estimates DOAs(directions of arrival) of the incident signals on a sensor array by exploiting the shift invariance between its two subarrays. This paper suggests an efficient DOA estimation method based on ESPRIT when coherent signals impinge on the sensor array. When applying ESPRIT, it is necessary to find a signal subspace. Though the widely known SS(spatial smoothing) method allows us to obtain a signal subspace in the presence of coherent signals, its computational complexity is very high. Recently a CV(correlation vector) based method has been presented which is computationally simple. However, the number of resolvable signals in the method is smaller than that in the SS based method when multiple coherent signal groups are present. The proposed method in this paper, which obtains a signal subspace by utilizing only part of the correlation matrix, significantly reduces the computational complexity as compared with the SS based one, while the former is resolving the same number of coherent signals as the latter,

An ESPRIT-Based Super-Resolution Time Delay Estimation Algorithm for Real-Time Locating Systems (실시간 위치 추적 시스템을 위한 ESPRIT 기반의 초 분해능 지연 시간 추정 알고리즘)

  • Shin, Joon-Ho;Park, Hyung-Rae;Chang, Eun-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.4
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    • pp.310-317
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    • 2013
  • In this paper an ESPRIT-based super-resolution time delay estimation algorithm is developed for real-time locating system (RTLS) and its performance is analyzed in various multipath environments. The performance of the existing correlation method for time delay estimation seriously degrades in multipath environments where the relative time delays of multipath signals are less than a PN chip. To solve the problem we shall develop a frequency domain super-resolution time delay estimation algorithm using the ESPRIT, the most representative super-resolution direction-of-arrival (DOA) estimation algorithm, and analyze its performance in various multipath environments.

ESPRIT target position estimation with uniform linear array and uniform circular array (등간격 선형어레이와 등간격 원형어레이 레이더를 위한 ESPRIT 표적 위치 추정 기법)

  • NamGoong, Geol;Lim, Jong-Tae;Yoo, Do-Sik
    • Journal of Advanced Navigation Technology
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    • v.16 no.6
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    • pp.952-959
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    • 2012
  • In this paper, we propose an ESPRIT based algorithm for target position estimation with uniform linear array (ULA) and uniform circular array (UCA) at transmitter and receiver, respectively. When UCA is adopted at the receiver, unlike the case of ULA at the receiver, the rotational invariance of the received signal is satisfied. Although there has been an attempt to resolve this issue, the problem of direction of departure estimation has not been considered. In this paper, we provide an ESPRIT based algorithm to simultaneously estimate transmitter elevation angle, receiver elevation angle, and receiver azimuth angle, taking into account the transmitter antennas as well as the receiver antennas.

On Estimating the Incident Angles of Wide Band Signals in Low SNR Environment (신호 대 잡음비가 낮은 경우 광대역 신호의 입사각 추정)

  • Jo, Jeong-Gwon;Hwang, Yeong-Su;Cha, Il-Hwan;Yun, Dae-Hui
    • The Journal of the Acoustical Society of Korea
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    • v.8 no.4
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    • pp.44-52
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    • 1989
  • The UCERSS (Unit Circle Eigendecomposition Rational Signal Subspace) algorithm has extended MUSIC (MUltiple Signal Classification ) by using eigendecomposition on the unit circle in order to estimate incident angles of multiple wide band signals. The purpose of this thesis is to further extend the UCERSS to be able to estimate the direction of arrivals of multiple wide band signals in very low SNR . The wide band ESPRIT (Estimation of Signal Parameter via Rotational Invariance Technique) uses covariance difference matrices to reduce noise components. In this paper the wide band ESPRIT which combines the ideas of UCERSS and ESPRIT Is proposed. Computer simulation results Indicate that the performances of the proposed approaches are superior to those of the UCERSS in very low SNR.

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A Study on Direction of Arrival Algorithm using Optimum Weight and Steering Direction Vector of MUSIC Algorithm (MUSIC알고리즘의 지향 방향벡터와 최적 가중치를 이용한 도래방향 추정 알고리즘 연구)

  • Lee, Kwan-Hyeong;Song, Woo-Young;Lee, Myeong-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.147-152
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    • 2012
  • This paper estimates the direction of arrival of desired a target using propagation wave in spatial. Direction of arrival estimation is to find desired target position among received signal to receiver array antennas. In this paper, we estimated direction of arrival for target, by using cost function and high resolution MUSIC algorithm, in order to direction of arrival estimation, and calculated optimum weight vector. Through simulation, in regard to the estimation of the arrival direction of a target, the performances of the existing ESPRIT algorithm and the proposed algorithm were comparatively analyzed. In the estimation time of the arrival direction of a target object, the proposed algorithm showed an improvement of approximately as compared to the existing ESPRIT algorithm.

Estimation in Frequencies of Multiple Sinusoids by the Modified ESPRIT Method (수정된 ESPRIT 방법을 이용한 다단 정현파의 주파수 추정)

  • 안태천;황금찬
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.9
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    • pp.1453-1461
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    • 1989
  • The modified ESPRIT(MESPRIT) method for harmonic retrieval is presented and analyzed. The estimation of frequencies of sinusoidal signals corrupted by white or colored measurement noise is considered for the MESPRIT method. Monte-carlo simulations are conducted for the comparison of MESPRIT method with TK method in terms of sampled mean, root mean square and relative bias.

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Estimation of Distributed Signal's Direction of Arrival Using Advanced ESPRIT Algorithm (개선된 ESPRIT 알고리즘을 이용한 퍼진 신호의 신호도착방향 추정)

  • Chung, Sung-Hoon;Lee, Dong-Wook
    • Proceedings of the KIEE Conference
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    • 1999.11c
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    • pp.703-705
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    • 1999
  • In this paper, we introduce the direction of arrival(DOA) estimation of distributed signal based on the improved ESPRIT algorithm. Most research on the estimation of DOA has been performed based on the assumption that the signal sources are point sources. However, we consider a two-dimensional distributed signal source model using improved ESPRIT algorithm. In the distributed signal source model, a source is represented by two parameters, the azimuth angle and elevation angle. We address the estimation of the elevation and azimuth angles of distributed sources based on the parametric source modeling in the three-dimensional space with two uniform linear arrays. The array output vector is obtained by integrating a steering vector over all direction of arrival with the weighting of a distributed source density function. We also develop an efficient estimation procedures that can reduce the computational complexity. Some examples are shown to demonstrate explicity the estimation procedures under the distributed signal source model.

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