• Title/Summary/Keyword: non-uniform linear array

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Compuationally Efficient Propagator Method for DoA with Coprime Array (서로소 배열에서 프로퍼게이터 방법 기반의 효율적인 도래각 추정 기법)

  • Byun, Bu-Guen;Yoo, Do-Sik
    • Journal of Advanced Navigation Technology
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    • v.20 no.3
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    • pp.258-264
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    • 2016
  • In this paper, we propose a computationally efficient direction of arrival (DoA) estimation algorithm based on propagator method with non-uniform array. While the co-prime array techniques can improve the resolution of DoA, they generally lead to high computational complexity as the length of the coarray aperture. To reduce the complexity we use the propagator method that does not require singular value decomposition (SVD). Through simulations, we compare MUSIC with uniform lineary array, propagator method with uniform linear array, MUSIC with co-prime array, and the proposed scheme and observe that the performance of the proposed scheme is significantly better than MUSIC or propagator method with uniform linear array while it is slightly worse than computationally much more expensive co-prime array MUSIC scheme.

Performance of direction-of-arrival estimation of SpSF in frequency domain: in case of non-uniform sensor array (주파수 영역으로 구현한 SpSF알고리듬: 비균일 센서 환경에서의 도래각 추정 성능)

  • Paik, Ji Woong;Zhang, Xueyang;Hong, Wooyoung;Hong, Jungpyo;Kim, Seongil;Lee, Joon-Ho
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.3
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    • pp.191-199
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    • 2020
  • Currently, studies on the estimation algorithm based on compressive sensing are actively underway, but to the best of our knowledge, no study on the performance of the Sparse Spectrum Fitting (SpSF) algorithm in nonuniform sensor arrays has been made. This paper deals with the derivation of the compressive sensing based covariance fitting algorithm extended to the frequency domain. In addition, it shows the performance of directon-of-arrival estimation of the frequency domain SpSF algorithm in non-uniform linear sensor array system and the sensor array failure situation.

A Performance Analysis of Phase Comparison Monopulse Algorithm for Antenna Spacing and Antenna Array (안테나 간격 및 배열에 따른 위상 비교 모노펄스 알고리즘의 성능 분석)

  • Sim, Heon-Kyo;Jung, Min-A;Kim, Seong-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.7
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    • pp.1413-1419
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    • 2015
  • Monopulse RADAR is the radar which detects the range of the target using a single transmitted signal. In this paper, using 9.41GHz X-band radar, the research for the phase comparison monopulse algorithm used in the marine environment is conducted. In addition, by applying the phase comparison monopulse algorithm, we calculate the RMSE for the various antenna spacings and the positions of the target. Based on that result, we compare the performance of the phase comparison monopulse algorithm in the uniform linear array with that in the non-uniform linear array. Finally, the differences in performance among the MUSIC algorithm, Bartlett method and the proposed phase comparison monopulse algorithm are analyzed.

Performance Analysis of Space-Time Codes in Realistic Propagation Environments: A Moment Generating Function-Based Approach

  • Lamahewa Tharaka A.;Simon Marvin K.;Kennedy Rodney A.;Abhayapala Thushara D.
    • Journal of Communications and Networks
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    • v.7 no.4
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    • pp.450-461
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    • 2005
  • In this paper, we derive analytical expressions for the exact pairwise error probability (PEP) of a space-time coded system operating over spatially correlated fast (constant over the duration of a symbol) and slow (constant over the length of a code word) fad­ing channels using a moment-generating function-based approach. We discuss two analytical techniques that can be used to evaluate the exact-PEPs (and therefore, approximate the average bit error probability (BEP)) in closed form. These analytical expressions are more realistic than previously published PEP expressions as they fully account for antenna spacing, antenna geometries (uniform linear array, uniform grid array, uniform circular array, etc.) and scattering models (uniform, Gaussian, Laplacian, Von-mises, etc.). Inclusion of spatial information in these expressions provides valuable insights into the physical factors determining the performance of a space-time code. Using these new PEP expressions, we investigate the effect of antenna spacing, antenna geometries and azimuth power distribution parameters (angle of arrival/departure and angular spread) on the performance of a four-state QPSK space-time trellis code proposed by Tarokh et al. for two transmit antennas.

Blind Waveform Estimation Scheme Based on ESPRIT for Nonuniform Linear Array MIMO Radars Using Distributed Multiple Electronic Sensors (분산 다중 전자전 센서를 이용한 ESPRIT 기반 비등간격 선형배열 MIMO 레이다의 암맹 직교신호 분리 기법)

  • Yeo, Kwanggoo;Chung, Wonzoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.11
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    • pp.891-897
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    • 2018
  • In this paper, we propose a blind estimation scheme for the antenna spacing of nonuniform linear array MIMO radar using distributed electronic sensors based on ESPRIT. We present a blind method to separate orthogonal waveforms of a MIMO radar based on the antenna spacing estimation. The estimated orthogonal waveforms of a MIMO radar can be used for disabling opponent MIMO radars.

Non-uniform Linear Microphone Array Based Source Separation for Conversion from Channel-based to Object-based Audio Content (채널 기반에서 객체 기반의 오디오 콘텐츠로의 변환을 위한 비균등 선형 마이크로폰 어레이 기반의 음원분리 방법)

  • Chun, Chan Jun;Kim, Hong Kook
    • Journal of Broadcast Engineering
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    • v.21 no.2
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    • pp.169-179
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    • 2016
  • Recently, MPEG-H has been standardizing for a multimedia coder in UHDTV (Ultra-High-Definition TV). Thus, the demand for not only channel-based audio contents but also object-based audio contents is more increasing, which results in developing a new technique of converting channel-based audio contents to object-based ones. In this paper, a non-uniform linear microphone array based source separation method is proposed for realizing such conversion. The proposed method first analyzes the arrival time differences of input audio sources to each of the microphones, and the spectral magnitudes of each sound source are estimated at the horizontal directions based on the analyzed time differences. In order to demonstrate the effectiveness of the proposed method, objective performance measures of the proposed method are compared with those of conventional methods such as an MVDR (Minimum Variance Distortionless Response) beamformer and an ICA (Independent Component Analysis) method. As a result, it is shown that the proposed separation method has better separation performance than the conventional separation methods.

A Study on the Time Delay Compensate Algorithm in Uniform Linear Array Antenna on Radar System (레이더시스템의 등 간격 선형 배열 안테나에서 시간 지연 보상 알고리즘 연구)

  • Lee, Min-Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.4
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    • pp.434-439
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    • 2019
  • This paper proposed a control algorithm to compensate the delay time to improve the signal to noise, and the proposed control algorithm estimate the target information to apply the continuous wave radar equation. The proposed control algorithm improves the output signal of each array element bv multiplying the weight of the receive signal to the signal to noise ratio. Radar radiate a signal in spatial and the target information is estimated by the echoed signal from the target. But the signal in the wireless communication environment occurs the delay time due to the multipath which appear human and natural structures. It is difficult to accurately estimate the desired information because of the degradation for the system performance due to the interference signal and the signal distortion. The target information can be improved by compensating the delay signal to apply the weight to the received signal by using the uniform linear array antenna. As a simulation result, we show that the performance of the proposed control algorithm and the non-compensated delay time are compared. The proposed control algorithm proved that the target distance estimation information is improved.

GA-Enhanced Dual-Band Aperiodic Linear Dipole Array with Low Sidelobe Level (낮은 부엽 준위를 갖는 이중 대역 다이폴 배열 안테나)

  • Son, Trinh-Van;Kwon, Gina;Hwang, Keum Cheol;Park, Joon-Young;Kim, Seon-Joo;Kim, Dong-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37C no.12
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    • pp.1296-1302
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    • 2012
  • In this research, optimization of a dual-band dipole array was performed using genetic algorithm. A non-uniform, aperture-shared linear array was configured with dipoles which resonate at 4 GHz and 9.5 GHz. The excited current distributions on dipoles were computed considering mutual coupling between dipole elements. The current distributions were also computed using method of moment (MoM). The optimization using genetic algorithm was performed to obtain the low sidelobe levels in two operating frequency band. The PSLs of the optimized array for 4 GHz and 9.5 GHz are -15.7 dB and -17 dB, respectively. Comparison between computed and simulated results are also discussed.

A Projection-based Intensity Correction Method of Phased-Array Coil Images (위상 배열 코일 영상에서의 밝기 비균등성을 projection에 기반하여 수정하는 방법)

  • Yun SungDae;Chung Jun-Young;Han YeJi;Park HyunWook
    • Investigative Magnetic Resonance Imaging
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    • v.9 no.1
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    • pp.36-42
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    • 2005
  • Purpose : To develop a novel approach to calculate the sensitivity profiles of the phased array coil for use in non-uniform intensity correction. Materials and Methods : The proposed intensity correction method estimates the sensitivity profile of the coil to extract intensity variations that represent the scanned image. The sensitivity profile is estimated by fitting a non-linear curve to various angles of projections through the imaged object in order to eliminate the high-frequency image content. Filtered back projection is then used to compute the estimates of the sensitivity profile of each coil. The method was applied both to phantom and brain images from 8-channel phased-array coil and 4-channel phased-array coil, respectively. Results : Intensity-corrected images from the proposed method have more uniform intensity than those from the commonly used 'sum-of-squares' approach. By using the proposed correction method, the intensity variation was reduced to $6.1\%$ from $13.1\%$, acquired from the 'sum-of-squares'. Conclusion : The proposed method is more effective at correcting the intensity non-uniformity of the phased-array surface-coil images than the conventional 'sum-of-squares' method.

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Convolutional Neural Network Based Source Separation Using a Non-uniform Linear Microphone Array (비균등 선형 마이크로폰 어레이를 활용한 합성곱 신경망 기반의 음원분리)

  • Moon, Jung Min;Park, In Young;Kim, Hong Kook
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.11a
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    • pp.44-45
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    • 2017
  • 본 논문에서는 비균등 선형 마이크로폰 어레이를 활용한 convolutional neural network (CNN) 기반의 음원분리 방법을 제안한다. 우선, 주어진 어레이 배치에 따라 채널간의 시간차를 분석하고, 분석된 시간차에 따라 주파수별로 방사각과 넓이에 따라 입력 오디오 신호의 spectral magnitude를 예측한다. 그러고 나서, CNN 분류기로부터 최적의 방사각과 넓이를 선별하고 이를 통해 음원을 분리한다.

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