An eigenstructure-based 2D DOA estimation method using dual-size spatial invariance array

A sparse planar array vertically placed in y-z plane is proposed to improve the angle estimation accuracy of sources in low angle region with reflection multipath.With two sizes of spatial invariances along both dimensions,the array estimates the azimuth and elevation angles using unitary ESPRIT(estimation of signal parameters via rotational invariance techniques).The first spatial invariance with a displacement of half-wavelength yields unambiguous coarse estimates of high-variance,while the second spatial...     

基于TK能量算子的OFDM时延估计算法

文章针对已有正交频分复用(OFDM)信号时延(TOA)估计算法抗噪声能力弱的问题,引入TK能量算子,在旋转不变技术（ESPRIT）算法基础上,提出一种TK-ESPRIT算法进行TOA估计。该算法利用TK算子对瞬时信号变化敏感的特点,首先对信号互相关函数进行处理,使相关函数峰值更加明显,再构造特征矩阵,利用ESPRIT算法完成TOA估计。仿真结果表明,和已有算法相比,提出算法可以有效提高估计精度。     

基于经验模态分解自适应滤波的次同步振荡ESPRIT分析

ESPRIT是一种可以准确辨识电力系统次同步振荡模态的算法,但在有噪声的情况下模态参数辨识不理想。提出利用经验模态分解滤波进行改进,然后与未经滤波的ESPRIT算法和PRONY算法进行比较以证明其有效性。仿真结果表明,经验模态分解可实现自适应滤波,且基于经验模态分解滤波的ESPRIT算法的准确性进一步提高。鉴于经验模态分解滤波的自适应性和ESPRIT算法辨识的快速、准确特性,可将此方法用于电力系统SSO在线检测,并为大电网的SSO的监测与研究奠定了基础。     

High Resolution Multipath Time Delay Estimation Based on FLOCCS-ESPRIT

The non-Gaussian α-stable distribution is introduced to model impulsive noise. Based on the theory of fractional lower order statistics （FLOS）, the fractional lower order cross-covariance （FLOCC） sequence for two received signals is obtained and the fractional lower order cross-covariance spectrum （FLOCCS） can be approached by taking a Fourier transform for the FLOCC sequence. When the FLOCCS is treated as a sequence in the time domain, the problem of multipath time delay estimation （TDE） may be converted into one on multi-frequencies estimation or directions of arrival estimation. Accordingly, the high resolution multipath TDE can be realized with the ESPRIT technology. This idea on multipath TDE is referred to as FLOCCS-ESPRIT in this paper. Computer simulations show that this method has good performance both in a Gaussian noise and in an impulsive noise environment.     

基于模极大值小波域和TLS-ESPRIT的振荡瞬态识别方法

对于电能质量扰动检测和定位中振荡瞬态的检测、识别,目前普遍采用的是时频特征矢量提取和智能模式识别方法,此类方法无法准确提取电能质量振荡瞬态信号不同频率分量的组成。结合模极大值小波域和总体最小二乘法旋转不变技术的信号参数估计(total least squares-estimation of signal parameters via rotational invariance techniques,TLS-ESPRIT)可以很好地实现振荡信号的检测与识别。对于输入信号,首先采用模极大值小波域检测振荡发生的起始时刻和终止时刻,然后利用振荡时间间隔内的信号建立观测空间矩阵,通过奇异值分解和总体最小二乘法实现特征值截尾,将采样信号观测空间分解为信号子空间和噪声子空间,得到振荡信号每个构成频率分量的相应参数。仿真结果证实了所提出方法的可行性。     

Improved Kalman-based attitude estimation framework for UAVs via an antenna array

Accurate attitude estimation is crucial for Unmanned Aerial Vehicles (UAVs) in order to facilitate automated activities such as landing or trajectory tracking. Recently antenna array based communication systems have been installed in UAVs. This array structure can also be applied for attitude estimation by computing the line-of-sight (LOS) path between the base station and UAV. In this paper, we propose a complete framework for attitude estimation by exploiting 3D LOS vector obtained from the antenna array system. We present all the steps to incorporate the estimated LOS vector into the TRIaxial Attitude Determination (TRIAD), QUaternion ESTimator (QUEST) and Kalman algorithms. As an additional contribution, the error covariance matrix of the LOS vector is analytically calculated by first finding the phase shift mean squared error using the known perturbation model from Singular Value Decomposition and assuming that the antenna array measured data error can be modeled as a circularly symmetric white noise. We evaluate five array configurations via Monte Carlo simulations. We show that array configurations that provide orthogonal components of the LOS vector achieve a better performance. The usage of more than three pairs of antennas to improve the estimation of the LOS vector is also proposed for low and intermediate signal-to-noise ratio regimes.     

多基线数据融合的双基地MIMO雷达角度估计

提出了一种双基地MIMO雷达角度估计方法。在发射端利用ESPRIT算法获取长短基线的旋转不变因子,通过联合对角化提高离开角度(DOD)的估计精度。根据已估计的DOD,采用迭代算法得到接收导向矢量。针对等距线阵和非等距线阵,分别提出了基于范德蒙矩阵特性和解模糊的多基线联合到达角度(DOA)估计方法,避免了两维搜索且角度自动配对。计算机仿真验证了该方法的有效性和优越性。     

酉ESPRIT超分辨ISAR成像方法

针对ESPRIT超分辨成像方法没有利用复数共轭数据且难以确定散射点数目的不足,提出了采用酉ESPRIT实现ISAR超分辨成像的新方法.该方法利用改进的盖式圆盘方法确定散射中心的数目,克服了ESPRIT方法中无法确定散射中心数目的缺点.通过合成复观测数据及其共轭,提高了ESPRIT超分辨成像的分辨率.构造了中心复共轭对称矩阵,有效降低了计算量.利用仿真数据和实测数据对该方法进行了验证,结果表明该方法不但具有更优的抗噪性能和分辨率,也具有更高的运算效率.     

色噪声背景下LFM信号参数估计的互谱ESPRIT方法

对色噪声背景下LFM信号(线性调频信号)进行了分析,提出了一种基于二次型变换的互谱ESPR IT方法。该方法首先对LFM信号进行二次型变换转化为平稳信号,再将现代互谱理论引入ESPR IT方法生成互谱ESPR IT方法来进行后续的信号处理,成功地实现了高效率、高精度的参数估计,且使附加的有色噪声信噪比低至-5 dB。仿真试验结果证明了本文方法的正确性和有效性。     

超宽带ISAR超分辨成像的一种方法

首先建立CSM算法(相干信号的处理方法)模型,对超宽带信号聚焦后的数据协方差阵的表达式进行了推导;然后在详细介绍ESPRIT超分辨算法基础上,将该算法应用于CSM算法模型对超宽带逆合成孔径雷达进行成像;最后将CSM算法分别与TLS-ESPRIT算法和该文快速ESPRIT算法进行对比仿真实验,其结果证明了此超分辨算法的可行性和有效性。