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Guimei Zheng - IEEE Xplore Author Profile

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Low-grazing angle detection (LGAD) is a critical challenge in radar systems due to the complex propagation environment and the high probability of signal cancellation. Multisite Multiple Input Multiple Output (MIMO) radar systems offer a solution by forming multiple orthogonal beams, each illuminating targets from different angles, thereby enhancing detection capabilities. This article proposes a ...Show More
In the domain of vehicular engineering, multipath detection plays a critical role in the accurate assessment of the environment. This paper introduces a Shapley value-based power resource allocation (SVPRA) method developed for low-grazing angle detection in distributed multiple-input multiple-output (D-MIMO) radar sensor networks (RSN). The SVPRA leverages multipath echoes for improved detection ...Show More
Coprime array (CA) is a highly regarded sparse geometry for direction of arrival (DOA) estimation because it offers heightened degrees of freedom (DOF) and alleviated mutual coupling (MC) effect. Nevertheless, the appearance of holes in the difference co-array (DCA) of CA extremely shortens the continuous DOF (cDOF) available for spatial smoothing technique. To cope with this deficiency, we develo...Show More
Height measurement with meter wave (MW) MIMO radar in the actual complex terrain environment is a difficult problem because of terrain fluctuation, ground inclination, and multiple reflection points. Therefore, a practical signal model is studied, and a height measurement method of matrix pencil based on this signal model is proposed. Firstly, a more practical signal model of MW MIMO radar with th...Show More
Wideband interference (WBI) is detrimental to high-resolution radar due to its high power and wide frequency occupancy. In this study, a deep learning (DL) method is proposed to predict the time–frequency (TF) feature of WBI and applied to cognitive radar high-resolution range profile (HRRP) estimation. Specifically, by performing short-time Fourier transform (STFT) on the WBI signal collected in ...Show More
Low elevation measurement of meter wave radar is a difficult issue in array signal processing. Dual carrier frequency processing method can be adopted for high mountain terrain in the field of low elevation measurement of meter wave radar. The algorithm works very well. Therefore, the algorithm is introduced into meter wave multiple-input multiple-output (MIMO) radar, and the algorithm is improved...Show More
Frequency diversity array multiple input multiple output (FDA-MIMO) communication system has the advantages of frequency diversity and waveform diversity, so it has attracted extensive attention, especially the joint estimation of angle and range. The existing researches mainly focus on incoherent signals, and conventional coherent signals, which can be solved by spatial smoothing based technologi...Show More
Unlike the conventional phased array, the frequency-diverse array (FDA) employs a tiny frequency increment across the array elements, which is capable of providing range–angle–time-dependent beampattern, and thereby offers potential benefits in target localization and interference mitigation. Reported literature on FDA mostly focuses on its intrapulse (fast-time) property and ignores the interpuls...Show More
In this paper, the reweighting strategy is introduced into the decoupled atomic norm minimization(DANM) algorithm to obtain the reweighted decoupled atomic norm minimization(RDANM) algorithm. The algorithm can automatically obtain the order of the model on the basis of maintaining the excellent characteristics of the original algorithm, and improve the resolution of the angle estimation. Therefore...Show More
In this work, we consider the problem of joint sparse array antenna design and phase-only beampattern shaping with reconfigurability. Our design objective is to reduce the cost of the antenna system for the unmanned aerial vehicle (UAV) radar with a large-aperture array. We formulate this co-design problem as a sparse optimization problem with angular response and binary-like modulus constraints. ...Show More
Meter wave radar height measurement is one of the most difficult problems in meter wave radar system. At present, the most popular height measurement methods of meter wave radar include beam splitting method, MUSIC algorithm and maximum likelihood estimation method, which can achieve good performance under flat ground. However, the real ground is not ideal condition, and the situation of undulatin...Show More
In order to improve the feasibility of low-elevation height measurement for meter-wave multiple-input multiple-output (MIMO) radar, a virtual sub-array-level beam splitting low-elevation height measurement algorithm is proposed. The algorithm can solve the coherence problems caused by low-angle multipath reflection, target reflection wave and direct wave coupling, and quickly measure the low eleva...Show More
Weighted spatial smoothing algorithm is a powerful tool for estimating the direction of arrival(DOA) in a coherent signal scenario. Compared to spatial smoothing algorithm, the weighted spatial smoothing algorithm takes the cross-covariance between the subarrays into consideration, which greatly improved the utilization of the information received by the sensor array. However, the performance of t...Show More
Meter wave radar height measurement is one of the most difficult problems in meter wave radar system. At present, the most popular height measurement methods of meter wave radar include beam splitting method, MUSIC algorithm and maximum likelihood estimation method, which can achieve good performance under flat ground. However, the real ground is not ideal condition, and the situation of undulatin...Show More
As a kind of hypercomplex number with strict orthogonality, quaternion can bring many benefits when applied to the signal processing for electromagnetic vector sensor array, but the quaternion model can deal two-component electromagnetic vector-sensors only. On the basis of quaternion model, this paper introduces biquaternion to establish a three-components electric dipole sensor array model in ti...Show More
This paper presents a novel framework for suppressing time-varying radio frequency interference (TRFI) in wideband dechirping radar. The TRFI challenges the wideband radar because of 1) changing in wide spectra range; 2) dynamic nature and unpredictability; 3) significant noise power in limited band. In this paper, an essential phenomenon of real measured data about TRFI in dechirping process is a...Show More
The result of radar signal sorting directly affects the performance of electronic reconnaissance equipment. Sorting method based on intra-pulse features has become a research focus in recent years. However, as the number of extracted features increases, the dimension of the feature vector becomes higher and higher. And too many dimensional feature vectors would make the complexity of the sorting a...Show More
The contest against electromagnetic spectrum are making the electromagnetic environment more and more congested. Synthetic aperture radar (SAR) requires larger bandwidth to obtain finer resolution, and thus inevitably affected by radio emitters sharing the same frequency band. Most of the radio frequency interference (RFI) originated from the terrestrial emitters, while there are also rare cases w...Show More
In synthetic aperture radar (SAR) system, the separation and reconstruction of useful signal from Narrow-band interference (NBI) and Wide-band interference (WBI) components is a challenging problem. In this paper, a novel time-varying interference suppression algorithm is proposed based on the signal synthesis from joint time-frequency (TF) distribution. This algorithm makes full use of two TF rep...Show More
Dipole antenna elements whose physical length L is greater than or equal to one-tenth of the wavelength λ are generally denoted as long dipoles. Such radiators are more useful in practical polarization sensitive arrays (PSAs) for electromagnetic sensing applications because their radiation efficiency is greater than that of short dipole radiators for which L <; λ /10. Thus, research focused on est...Show More
Sparse-recovery-based space–time adaptive processing (STAP) methods can exhibit superior clutter suppression performance with limited training data. However, the clutter suppression performance seriously degrades when the mutual coupling is present in the STAP array elements. In this paper, a sparse Bayesian learning (SBL)-based STAP method against the mutual coupling by using the middle subarray ...Show More
The study of statistical resolution limit (SRL) of two closely spaced targets has attracted considerable interests in the last decade. Two definitions for SRL have been proposed: one is based on the Cramér-Rao bound (CRB) and the other is based on a decision-based process. In this paper, we focus on the latter one. Different from the existing study, which assumes that the center parameter of inter...Show More
For the polarization sensitive array considered in the most current literature, the physical length of the electric-dipole is less than 0.1 of a wavelength, and the radiation efficiency of this “short”electric-dipole is too low. Therefore, it is of great practical significance to study the array of “long”electric-dipole (the physical length lies within the range of [0.1, 1] of a wavelength). This ...Show More
Polarization sensitive frequency and frequency diversity array (FDA)-MIMO (PSFDA-MIMO) hybrid radar is an emerging technology. The existing algorithms for parameter estimation with PSFDA-MIMO radar need multiple-dimensional searches, whose computational complexity is high. To reduce the computational complexity, in this paper, a search-free algorithm is proposed to estimate 4-D parameters with PSF...Show More
In this paper, the problem of 2-D direction-of-arrival (2-D-DOA) estimation for coprime planar arrays is investigated, and a method based on the polynomial root finding technique with high accuracy and computational efficiency is proposed. In conventional methods, the whole coprime planar array is usually divided into two subarrays to individually estimate 2-D-DOA, and then the true 2-D-DOA can be...Show More