A method of direction of arrival (DOA) estimation of coherent sources is proposed, which is based on arbitrary plane arrays. After constructing the mathematical model of coherent sources, virtual array transformation ...A method of direction of arrival (DOA) estimation of coherent sources is proposed, which is based on arbitrary plane arrays. After constructing the mathematical model of coherent sources, virtual array transformation and MUSIC algorithm are used to realize the azimuth estimation of coherent sources, which improved the DOA estimation performance greatly. According to the computer simulation, its validity is confirmed.展开更多
Virtual source(VS)imaging has been proposed to improve image resolution in medical ultrasound imaging.However,VS obtains a limited contrast due to the non-adaptive delay-and-sum(DAS)beamforming.To improve the image co...Virtual source(VS)imaging has been proposed to improve image resolution in medical ultrasound imaging.However,VS obtains a limited contrast due to the non-adaptive delay-and-sum(DAS)beamforming.To improve the image contrast and provide an enhanced resolution,adaptive weighting algorithms were applied in VS imaging.In this paper,we proposed an adjustable generalized coherence factor(aGCF)for the synthetic aperture sequential beamforming(SASB)ofVS imaging to improve image quality.The value of aGCF is adjusted by a sequence intensity factor(SIF)that is defined as the ratio between the effective low resolution scan lines(LRLs)intensity and total LRLs strength.The aGCF-weighted VS(aGCF-VS)images were compared with standard VS images and GCF-weighted VS(GCF-VS)images.Simulation and experimental results demonstrated that the contrast ratio(CR)and contrastto-noise ratio(CNR)of aGCF-VS are greatly improved,compared with standard VS imaging.And in comparison with GCF-VS,aGCF-VS can obtain better CNR and speckle signal-to-noise ratio(sSNR)whilemaintaining similar CR.Therefore,aGCF is suitable for VS imaging to improve contrast and preserve speckle pattern.展开更多
针对相干信源的波达方向(direction of arrival,DOA)估计问题,传统的空间平滑算法通过减小阵列孔径来解相干,导致估计精度降低。本文以相干分布源为研究对象,首先通过扩展共轭虚拟阵列增大阵列孔径,使用Toeplitz算法进行预估计,根据预...针对相干信源的波达方向(direction of arrival,DOA)估计问题,传统的空间平滑算法通过减小阵列孔径来解相干,导致估计精度降低。本文以相干分布源为研究对象,首先通过扩展共轭虚拟阵列增大阵列孔径,使用Toeplitz算法进行预估计,根据预估计值构建加权矩阵,通过二次加权空间平滑恢复协方差矩阵的秩,消除信号的相干性,结合传播因子算法估计得到目标信源的入射角度。该算法充分利用子阵输出的自相关和互相关信息,改善了阵列孔径带来的精度影响。仿真结果表明,所提算法对相干信源具有良好的分辨能力和估计精度,在低信噪比时鲁棒性较好。展开更多
文摘A method of direction of arrival (DOA) estimation of coherent sources is proposed, which is based on arbitrary plane arrays. After constructing the mathematical model of coherent sources, virtual array transformation and MUSIC algorithm are used to realize the azimuth estimation of coherent sources, which improved the DOA estimation performance greatly. According to the computer simulation, its validity is confirmed.
基金The National Natural Science Foundation of China(Grant No.62071165)the Fundamental Research Funds for the Central Universities of China(Grant No.JZ2021HGTB0074)the China Postdoctoral Science Foundation(Grant No.2021M690853).
文摘Virtual source(VS)imaging has been proposed to improve image resolution in medical ultrasound imaging.However,VS obtains a limited contrast due to the non-adaptive delay-and-sum(DAS)beamforming.To improve the image contrast and provide an enhanced resolution,adaptive weighting algorithms were applied in VS imaging.In this paper,we proposed an adjustable generalized coherence factor(aGCF)for the synthetic aperture sequential beamforming(SASB)ofVS imaging to improve image quality.The value of aGCF is adjusted by a sequence intensity factor(SIF)that is defined as the ratio between the effective low resolution scan lines(LRLs)intensity and total LRLs strength.The aGCF-weighted VS(aGCF-VS)images were compared with standard VS images and GCF-weighted VS(GCF-VS)images.Simulation and experimental results demonstrated that the contrast ratio(CR)and contrastto-noise ratio(CNR)of aGCF-VS are greatly improved,compared with standard VS imaging.And in comparison with GCF-VS,aGCF-VS can obtain better CNR and speckle signal-to-noise ratio(sSNR)whilemaintaining similar CR.Therefore,aGCF is suitable for VS imaging to improve contrast and preserve speckle pattern.
文摘针对相干信源的波达方向(direction of arrival,DOA)估计问题,传统的空间平滑算法通过减小阵列孔径来解相干,导致估计精度降低。本文以相干分布源为研究对象,首先通过扩展共轭虚拟阵列增大阵列孔径,使用Toeplitz算法进行预估计,根据预估计值构建加权矩阵,通过二次加权空间平滑恢复协方差矩阵的秩,消除信号的相干性,结合传播因子算法估计得到目标信源的入射角度。该算法充分利用子阵输出的自相关和互相关信息,改善了阵列孔径带来的精度影响。仿真结果表明,所提算法对相干信源具有良好的分辨能力和估计精度,在低信噪比时鲁棒性较好。
