针对基于粒子滤波的弱小目标检测前跟踪算法(Particle Filter Track Before Detect,PF-TBD)存在采样粒子数目随空间维数呈指数增长、计算量急剧增加等问题,提出一种基于串行重采样改进的检测前跟踪算法(Serial Resampling Track Before ...针对基于粒子滤波的弱小目标检测前跟踪算法(Particle Filter Track Before Detect,PF-TBD)存在采样粒子数目随空间维数呈指数增长、计算量急剧增加等问题,提出一种基于串行重采样改进的检测前跟踪算法(Serial Resampling Track Before Detect,SR-TBD)。所提算法通过对粒子状态的位置空间与速度空间进行串行采样,实现搜索帧间能量的有效积累,并降低状态维数造成计算量的增加,提升算法收敛速度。通过算法仿真与传统PF-TBD算法对比,表明本文提出的改进算法在算法收敛速度、运算量等方面均得到提升。展开更多
在"Joint Estimation of DOA and Polarization with CLD Pair Cylindrical Array Based on Quaternion Model"一文中,其阵列流形是通过特征值分解反推得到的,该文的作者认为信号导向矢量可以通过阵列流形的每一列除以该列首...在"Joint Estimation of DOA and Polarization with CLD Pair Cylindrical Array Based on Quaternion Model"一文中,其阵列流形是通过特征值分解反推得到的,该文的作者认为信号导向矢量可以通过阵列流形的每一列除以该列首元素得到。在本文中我们指出,通过特征值分解反推得到的阵列流形,其每列与真实值存在一个模糊系数,由于四元数乘法不满足交换律,从而使得导向矢量无法通过阵列流形的每一列除以该列首元素得到。最后还给出一种求解导向矢量的方法,并通过计算机仿真进行验证。展开更多
The quaternion multiple signal classification（Q-MUSIC）algorithm generally requires four-dimensional spectral peak search to estimate the direction of arrival（DOA）and polarization parameters,which would result in t...The quaternion multiple signal classification（Q-MUSIC）algorithm generally requires four-dimensional spectral peak search to estimate the direction of arrival（DOA）and polarization parameters,which would result in the huge computation burden.A dimension reduction Q-MUSIC algorithm（DRQ-MUSIC）based on L-shaped array is presented to reduce the computational complexity in this paper.The proposed algorithm divides the steering vector into three parts,and estimates each part separately,thus DOA and polarization parameters can be estimated only by N times one-dimensional spectral peak search,where N denotes the sources number.Besides,pair match is not required.Finally,simulation examples demonstrate the effectiveness and feasibility of the proposed algorithm.展开更多
文摘针对基于粒子滤波的弱小目标检测前跟踪算法(Particle Filter Track Before Detect,PF-TBD)存在采样粒子数目随空间维数呈指数增长、计算量急剧增加等问题,提出一种基于串行重采样改进的检测前跟踪算法(Serial Resampling Track Before Detect,SR-TBD)。所提算法通过对粒子状态的位置空间与速度空间进行串行采样,实现搜索帧间能量的有效积累,并降低状态维数造成计算量的增加,提升算法收敛速度。通过算法仿真与传统PF-TBD算法对比,表明本文提出的改进算法在算法收敛速度、运算量等方面均得到提升。
文摘在"Joint Estimation of DOA and Polarization with CLD Pair Cylindrical Array Based on Quaternion Model"一文中,其阵列流形是通过特征值分解反推得到的,该文的作者认为信号导向矢量可以通过阵列流形的每一列除以该列首元素得到。在本文中我们指出,通过特征值分解反推得到的阵列流形,其每列与真实值存在一个模糊系数,由于四元数乘法不满足交换律,从而使得导向矢量无法通过阵列流形的每一列除以该列首元素得到。最后还给出一种求解导向矢量的方法,并通过计算机仿真进行验证。
基金Supported by the National Natural Science Foundation of China(60971108,61101243)
文摘The quaternion multiple signal classification（Q-MUSIC）algorithm generally requires four-dimensional spectral peak search to estimate the direction of arrival（DOA）and polarization parameters,which would result in the huge computation burden.A dimension reduction Q-MUSIC algorithm（DRQ-MUSIC）based on L-shaped array is presented to reduce the computational complexity in this paper.The proposed algorithm divides the steering vector into three parts,and estimates each part separately,thus DOA and polarization parameters can be estimated only by N times one-dimensional spectral peak search,where N denotes the sources number.Besides,pair match is not required.Finally,simulation examples demonstrate the effectiveness and feasibility of the proposed algorithm.
