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MINIMAX INVARIANT ESTIMATOR OF CONTINUOUS DISTRIBUTION FUNCTION UNDER LINEX LOSS
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作者 Jianhui NING Minyu XIE 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2007年第1期119-126,共8页
In this paper we consider the problem of estimation of a continuous distribution function under the LINEX loss function. The best invariant estimator is obtained and proved to be minimax for any sample size n ≥ 1.
关键词 invariant estimator LINEX loss function non-parametric estimation.
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Temporal-spatial subspaces modern combination method for 2D-DOA estimation in MIMO radar 被引量:9
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作者 Youssef Fayad Caiyun Wang Qunsheng Cao 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2017年第4期697-702,共6页
A 2D-direction of arrival estimation (DOAE) for multi input and multi-output (MIMO) radar using improved multiple temporal-spatial subspaces in estimating signal parameters via rotational invariance techniques method ... A 2D-direction of arrival estimation (DOAE) for multi input and multi-output (MIMO) radar using improved multiple temporal-spatial subspaces in estimating signal parameters via rotational invariance techniques method (TS-ESPRIT) is introduced. In order to realize the improved TS-ESPRIT, the proposed algorithm divides the planar array into multiple uniform sub-planar arrays with common reference point to get a unified phase shifts measurement point for all sub-arrays. The TS-ESPRIT is applied to each sub-array separately, and in the same time with the others to realize the parallelly temporal and spatial processing, so that it reduces the non-linearity effect of model and decreases the computational time. Then, the time difference of arrival (TDOA) technique is applied to combine the multiple sub-arrays in order to form the improved TS-ESPRIT. It is found that the proposed method achieves high accuracy at a low signal to noise ratio (SNR) with low computational complexity, leading to enhancement of the estimators performance. 展开更多
关键词 direction of arrival estimation (DOAE) temporal subspace spatial subspace estimating signal parameters via rotational invariance technique (ESPRIT)
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Method for array gain and phase uncertainties calibration based on ISM and ESPRIT 被引量:11
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作者 Liao Bin Liao Guisheng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第2期223-228,共6页
A new method for array calibration of array gain and phase uncertainties, which severely degrade the performance of spatial spectrum estimation, is presented. The method is based on the idea of the instrumental sensor... A new method for array calibration of array gain and phase uncertainties, which severely degrade the performance of spatial spectrum estimation, is presented. The method is based on the idea of the instrumental sensors method (ISM), two well-calibrated sensors are added into the original array. By applying the principle of estimation of signal parameters via rotational invariance techniques (ESPRIT), the direction-of-arrivals (DOAs) and uncertainties can be estimated simultaneously through eigen-decomposition. Compared with the conventional ones, this new method has less computational complexity while has higher estimation precision, what's more, it can overcome the problem of ambiguity. Both theoretical analysis and computer simulations show the effectiveness of the proposed method. 展开更多
关键词 array calibration array gain and phase uncertainties direction of arrival instrumental sensors method estimation of signal parameters via rotationaJ invariance techniques.
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Direction finding of coexisted independent and coherent signals using electromagnetic vector sensor 被引量:3
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作者 Ming Diao Chunlian An 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第4期481-487,共7页
The existing direction of arrival (DOA) estimation algorithms based on the electromagnetic vector sensors array barely deal with the coexisting of independent and coherent signals. A two-dimensional direction findin... The existing direction of arrival (DOA) estimation algorithms based on the electromagnetic vector sensors array barely deal with the coexisting of independent and coherent signals. A two-dimensional direction finding method using an L-shape electromagnetic vector sensors array is proposed. According to this method, the DOAs of the independent signals and the coherent signals are estimated separately, so that the array aperture can be exploited sufficiently. Firstly, the DOAs of the independent signals are estimated by the estimation of signal parameters via rotational invariance techniques, and the influence of the co- herent signals can be eliminated by utilizing the property of the coherent signals. Then the data covariance matrix containing the information of the coherent signals only is obtained by exploiting the Toeplitz property of the independent signals, and an improved polarimetric angular smoothing technique is proposed to de-correlate the coherent signals. This new method is more practical in actual signal environment than common DOA estimation algorithms and can expand the array aperture. Simulation results are presented to show the estimating performance of the proposed method. 展开更多
关键词 direction finding electromagnetic vector sensor polarimetric angular smoothing estimation of signal parameters viarotational invariance technique Toeplitz property.
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Low-complexity method for DOA estimation based on ESPRIT 被引量:6
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作者 Xuebin Zhuang Xiaowei Cui Mingquan Lu Zhenming Feng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2010年第5期729-733,共5页
A low-complexity method for direction of arrival(DOA) estimation based on estimation signal parameters via rotational invariance technique(ESPRIT) is proposed.Instead of using the cross-correlation vectors in mult... A low-complexity method for direction of arrival(DOA) estimation based on estimation signal parameters via rotational invariance technique(ESPRIT) is proposed.Instead of using the cross-correlation vectors in multistage Wiener filter(MSWF),the orthogonal residual vectors obtained in conjugate gradient(CG) method span the signal subspace used by ESPRIT.The computational complexity of the proposed method is significantly reduced,since the signal subspace estimation mainly needs two matrixvector complex multiplications at the iteration of data level.Furthermore,the prior training data are not needed in the proposed method.To overcome performance degradation at low signal to noise ratio(SNR),the expanded signal subspace spanned by more basis vectors is used and simultaneously renders ESPRIT yield redundant DOAs,which can be excluded by performing ESPRIT once more using the unexpanded signal subspace.Compared with the traditional ESPRIT methods by MSWF and eigenvalue decomposition(EVD),numerical results demonstrate the satisfactory performance of the proposed method. 展开更多
关键词 direction of arrival(DOA) multistage Wiener filter(MSWF) conjugate gradient(CG) estimation signal parameters via rotational invariance technique(ESPRIT) eigenvalue decomposition(EVD).
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Multi-target localization for bistatic MIMO radar in the presence of unknown mutual coupling 被引量:3
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作者 Zhidong Zheng Jianyun Zhang Yuebo Wu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第5期708-714,共7页
A decoupling-estimation signal parameters via rotarional invariance technique(ESPRIT) method is presented for multi-target localization with unknown mutual coupling in bistatic multiple-input multiple-output(MIMO)... A decoupling-estimation signal parameters via rotarional invariance technique(ESPRIT) method is presented for multi-target localization with unknown mutual coupling in bistatic multiple-input multiple-output(MIMO) radar.Two steps are carried out in this method.The decoupling operation between angle and mutual coupling estimates is realized by choosing the auxiliary elements on both sides of the transmit and receive uniform linear arrays(ULAs).Then the ESPRIT method is resilient against the unknown mutual coupling matrix(MCM) and can be directly utilized to estimate the direction of departure(DOD) and the direction of arrival(DOA).Moreover,the mutual coupling coefficient is estimated by finding the solution of the linear constrained optimization problem.The proposed method allows an efficient DOD and DOA estimates with automatic pairing.Simulation results are presented to verify the effectiveness of the proposed method. 展开更多
关键词 bistatic multiple-input multiple-output(MIMO) radar angle estimation mutual coupling auxiliary element estimation signal parameters via rotarional invariance technique(ESPRIT)
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Frequency domain polarization weighted ESPRIT method for bearing angle 被引量:2
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作者 Wei Liu Shengchun Piao +2 位作者 Junyuan Guo Qingxin Meng Hanhao Zhu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第5期769-775,共7页
The signal to noise ratio (SNR) of seismic waves is usually very low after long distance transmission. For this condition, to improve the bearing estimation capability in the low SNR, a frequency domain polarization... The signal to noise ratio (SNR) of seismic waves is usually very low after long distance transmission. For this condition, to improve the bearing estimation capability in the low SNR, a frequency domain polarization weighted ESPRIT method using a single vector device is proposed. The frequency domain polari- zation parameters extracted from the signals are used to design the weighted function which is applied to the received signals. The bearing angle and the target frequency are estimated through ESPRIT using the weighted signals. The simulation and experiment results show that the presented method can obtain accurate estimation values under the low SNR with little prior information. 展开更多
关键词 vector seismic signal frequency domain polarizationweight bearing angle estimation estimation of signal parametersvia rotational invariance techniques (ESPRIT).
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High Resolution Multipath Time Delay Estimation Based on FLOCCS-ESPRIT 被引量:3
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作者 LIU Wen-hong QIU Tian-shuang +1 位作者 HU Ting-ting TANG Hong 《Journal of China University of Mining and Technology》 EI 2007年第1期30-34,共5页
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 rec... 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. 展开更多
关键词 signal processing multipath time delay estimation α-stable distribution FLOCC FLOCCS estimation signal parameter via rotational invariance techniques (ESPRIT)
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MULTI-INVARIANCE ESPRIT-LIKE ALGORITHMS FOR COHERENT DOA ESTIMATION 被引量:2
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作者 Zhang Xiaofei Xu Dazhuan 《Journal of Electronics(China)》 2010年第1期24-28,共5页
Estimation of Signal Parameters via Rotational Invariance Technique(ESPRIT) algorithm can estimate Direction-Of-Arrival(DOA) of coherent signal,but its performance can not reach full satisfaction.We reconstruct the re... Estimation of Signal Parameters via Rotational Invariance Technique(ESPRIT) algorithm can estimate Direction-Of-Arrival(DOA) of coherent signal,but its performance can not reach full satisfaction.We reconstruct the received signal to form data model with multi-invariance property,and multi-invariance ESPRIT algorithm for coherent DOA estimation is proposed in this paper.The proposed algorithm can resolve the DOAs of coherent signals and performs better in DOA estimation than that of ESPRIT-like algorithm.Meanwhile,it identifies more DOAs than ESPRIT-like algorithm.The simulation results demonstrate its validity. 展开更多
关键词 Coherent signals Direction-Of-Arrival(DOA) estimation Multi-invariance Estimation of Signal Parameters via Rotational Invariance Technique(ESPRIT)
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Existence of Multiple Equilibrium Points in Global Attractor for the Strongly Damped Wave Equations
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作者 孟凤娟 汪永海 刘存才 《Journal of Donghua University(English Edition)》 EI CAS 2017年第3期448-452,共5页
The aim of this paper is to study the long-term behavior of strongly damped wave equations with a Lyapunov function. Using the theory established by estimating the Z2 index of some sets and the idea of invariant sets ... The aim of this paper is to study the long-term behavior of strongly damped wave equations with a Lyapunov function. Using the theory established by estimating the Z2 index of some sets and the idea of invariant sets of semi-flow,the properties of the global attractor for strongly damped wave equation are discussed. The existence of multiple equilibrium points in global attractor for strongly damped wave equations with critical growth of nonlinearity is obtained. And under some additional condition, the infinite dimension of the attractor is proven. 展开更多
关键词 infinite invariant nonlinearity estimating assumption proven proof regularity stationary neighborhood
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Fast BSC-based algorithm for near-field signal localization via uniform circular array
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作者 SU Xiaolong LIU Zhen +3 位作者 SUN Bin WANG Yang CHEN Xin LI Xiang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第2期269-278,共10页
In this paper,we propose a beam space coversion(BSC)-based approach to achieve a single near-field signal local-ization under uniform circular array(UCA).By employing the centro-symmetric geometry of UCA,we apply BSC ... In this paper,we propose a beam space coversion(BSC)-based approach to achieve a single near-field signal local-ization under uniform circular array(UCA).By employing the centro-symmetric geometry of UCA,we apply BSC to extract the two-dimensional(2-D)angles of near-field signal in the Van-dermonde form,which allows for azimuth and elevation angle estimation by utilizing the improved estimation of signal para-meters via rotational invariance techniques(ESPRIT)algorithm.By substituting the calculated 2-D angles into the direction vec-tor of near-field signal,the range parameter can be conse-quently obtained by the 1-D multiple signal classification(MU-SIC)method.Simulations demonstrate that the proposed al-gorithm can achieve a single near-field signal localization,which can provide satisfactory performance and reduce computational complexity. 展开更多
关键词 near-field signal uniform circular array(UCA) beam space conversion(BSC) improved estimation of signal parame-ters via rotational invariance techniques(ESPRIT) 1-D multiple signal classification(MUSIC) parameter estimation
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Waveguide invariant estimation in elastic Pekeris waveguide 被引量:3
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作者 ZHU Hanhao PIAO Shengchun +1 位作者 ZHANG Haigang LIU Wei 《Chinese Journal of Acoustics》 CSCD 2017年第1期113-129,共17页
Focus on sound intensity, particle velocity, complex sound intensity and waveguide impedance, the formation mechanism of interference structures in range-frequency domain for the above four kinds of physical quantitie... Focus on sound intensity, particle velocity, complex sound intensity and waveguide impedance, the formation mechanism of interference structures in range-frequency domain for the above four kinds of physical quantities in Pekeris waveguides is analyzed based on Nor- mal Mode Theory. Also, a sea-trial with broadband radiated source is conducted to verify the analysis results. Both the simulation results and the analysis of sea-trial data indicate that, in range-frequency domain, the four kinds of physical quantities will exhibit a stable interfer- ence structure which can be expressed with waveguide invariant /3. Among these quantities, the coherent components of complex sound intensity can better reflect the interference char- acteristics of the waveguide. Finally, a multi-scale linear filter is introduced to deal with the sea-trial LOFAR (Low Frequency Analysis Recording) spectrum, the processing results show that the proposed filter can effectively enhance the interference characteristics in images, and conductively detect and extract striations' information from interference structures in LOFAR spectrum. 展开更多
关键词 Waveguide invariant estimation in elastic Pekeris waveguide
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Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT
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作者 XU Liqin LI Yong 《Journal of Shanghai Jiaotong university(Science)》 EI 2018年第2期256-263,共8页
A low-complexity angle estimation method for multiple-input multiple-output(MIMO) radar using beamspace unitary estimation of signal parameters via rotational invariance techniques(ESPRIT) is presented.Reduced-dimensi... A low-complexity angle estimation method for multiple-input multiple-output(MIMO) radar using beamspace unitary estimation of signal parameters via rotational invariance techniques(ESPRIT) is presented.Reduced-dimensional transformation is firstly utilized as a pre-processing to obtain the reduced-dimensional data matrix, and then a conjugate centrosymmetric discrete Fourier transform(DFT) matrix is employed to map the received data into lower-dimensional beamspace and transforms the complex covariance matrix into a realvalued one. At last, the rotational invariance structure of the real-valued signal subspace is constructed in the beamspace to obtain the estimation of direction of arrival(DOA). Compared with the other ESPRIT algorithms,the proposed method can achieve improved estimation performance with a significantly reduced computational complexity. Simulation results are presented to demonstrate the effectiveness of the proposed method. 展开更多
关键词 multiple-input multiple-output(MIMO) radar direction of arrival(DOA) estimation estimation of signal parameters via rotational invariance techniques(ESPRIT) BEAMSPACE
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