Zhihui Li

National University of Defense Technology (NUDT) · College of Electronic Engineering

The performance of radar mode recognition has been significantly enhanced by the various architectures of deep learning networks. However, these approaches often rely on supervised learning and are susceptible to overfitting on the same dataset. As a transitional phase towards Cognitive Multi-Functional Radar (CMFR), Adaptive Multi-Function Radar (...

With the implementation of deep learning in signal recognition, the processing efficiency and accuracy of radar automatic modulation recognition (AMR) have been effectively improved. The success of deep learning usually depends on plentiful labeled training data, but in actual electromagnetic environments, due to expensive annotation cost and non-c...

With the advancement of radar technology toward multifunctionality and cognitive capabilities, traditional radar countermeasures are no longer sufficient to meet the demands of countering the advanced multifunctional radar (MFR) systems. Rapid and accurate generation of the optimal jamming strategy is one of the key technologies for efficiently com...

Distributed precision jamming (DPJ) is an efficient way to control the combined power spectrum (CPS) of both target and friendly devices in electronic warfare. However, the existing methods neglect the design of worst-case CPS performance, and a great challenge is posed in determining an appropriate Pareto parameter to protect the friendly devices...

Considering the imperfect communication channel state information (CSI), we investigated a robust joint design of transmit waveform and receive filter for the dual-functional radar-communication (DFRC) system using a multi-input-multi-output (MIMO) platform. In this study, we take the output signal-to-interference-plus-noise ratio (SINR) of the rad...

Pose is a fundamental attribute of 3D point cloud shape, which profoundly impacts point cloud analysis tasks. However, it is very tricky to directly solve the pose attribute since it is deeply coupled with geometry shape. To this end, the representation separation strategy has been proposed, where the global representation is modeled as a combinati...

In this study, we investigated two waveform design problems for a dual-functional radar communication (DFRC) system, taking into consideration different constrained communication quality-of-service (QoS) requirements. Our objective was to minimize the mean-square error (MSE) of radar beampattern matching as the cost function. To this end, the multi...

The goal of precision electronic warfare (PREW) is to implement blanket jamming on the targets precisely and ensure that friendly devices are not affected; thus, it requires controlling energy precisely in the spatial domain and covering the working bandwidth of the target equipment in the frequency domain. In this paper, we propose the algorithms...

In order to deal with the problem space-time adaptive processing (STAP) performance degradation of an airborne phased array system caused by the serious shortage of independent and identical distributed (IID) training samples in the nonhomogeneous clutter environment, an improved direct data domain method based on sparse Bayesian learning is propos...

In this paper, we consider the joint design of transmit beamforming and receive filter for transmit beamspace (TB) multiple-input multiple-output (MIMO) radar red space-time adaptive processing (STAP) under the target information uncertainty. The associated robust joint design problem is formulated by maximizing the signal-to-interference-plus-nois...

Consider the moving target detection performance degradation of airborne multiple-input multiple-output (MIMO) radar in the presence of inaccurate target prior information. This paper proposes a joint design method of transmit waveform and receive filter bank of airborne MIMO radar based on feasible point pursuit successive convex approximation (FP...

For the angle estimation demand of real-world electromagnetic vector sensor (EMVS) array radar, in this paper we propose a two-dimensional direction of arrival (2D-DOA) estimation method with spatially separated “long” crossed-dipoles array based on three-way compressive sensing. First, the low-dimension random matrix is utilized to compressively s...

This paper deals with the joint design of transmit and receive beamforming for airborne transmit subaperturing (TS) multiple-input multiple-output (MIMO) radar to improve the moving target detection performance in the presence of signal-dependent clutter background. The considered system is referred to as an airborne TS–MIMO radar, whose transmit a...

This paper deals with the joint design problem of transmit waveform and receive filter for the robust detection of ground moving target with multiple-input multiple-output Space time adaptive processing (MIMO- STAP) radar in the presence of target and clutter uncertainties. With the prior knowledge of target and clutter statistics, the averaged sig...

In this paper, we investigate the issue of direction-of-arrival (DOA) estimation of multiple signals in coprime arrays. An algorithm based on multiple signal classification (MUSIC) and forward and backward spatial smoothing (FBSS) is used for DOA estimation of this signal caused by multipath and interference. The large distance between adjacent ele...

In this paper, we are dedicated to studying the robust filtering and smoothing problem for a nonlinear non-Gaussian system. Considering the advantage of mixture correntropy with two kernel bandwidths in dealing with non-Gaussian noise, we propose the novel robust recursive filter and smoother based on the cost functions induced by the maximum mixtu...

Owing to the property of range-angle-dependent beampattern, frequency diverse array (FDA) has promising application potentials in radar field. Many studies have been reported to solve the time-variant problem of FDA. However, there is a misconception between the time index within pulse and the actual time, which misleads the theoretical analysis fo...

This paper investigates the robust cognitive joint design of transmit waveform and receive filter to improve the system performance of airborne multiple-input multiple-output (MIMO) radar. Considering the target Doppler frequency and spatial cone angle uncertainties are present, we formulate the averaged signal-to-clutter-plus-noise ratio (SCNR) as...

In frequency diverse array (FDA) space–time adaptive processing (STAP) system, the spectrum of fast-moving target is non-well focused in the spatial–temporal plane, which causes a large mismatch between the actual and presumed target steering vector and dramatically degrades the performance of FDA-STAP system. In this paper, we propose a robust FDA...

Frequency diverse array (FDA) has the ability to suppress the range-dependent interference and resolve the range ambiguity by using its additional degree-of-freedom (DOFs) in range domain. However, the spatial-temporal spectrum of fast-moving target is not ideally focused in spatial-temporal plane, which causes a large mismatch between the real and...

The presence of mutual coupling usually causes space-time steering vector distortion for space-time adaptive processing (STAP) in airborne radar, thereby causing significant performance degradation. In this study, a robust STAP approach was proposed against mutual coupling based on middle subarray clutter covariance matrix reconstruction. To addres...

The presence of mismatch between the presumed and actual target direction in spatial-temporal plane and the contamination of signal of interest (SOI) in training snapshots significantly degrades the performance of space-time adaptive processing (STAP). To solve the aforementioned problems, a robust STAP by employing the training snapshot selection...

In this letter, a middle subarray interferenceplus-noise covariance matrix (INCM) reconstruction approach is proposed to mitigate themutual coupling problem in robust adaptive beamforming. In the proposed approach, the banded symmetric Toeplitz structure ofmutual coupling matrix in the uniform linear array is employed. The INCM of middle subarray i...

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...

Space-time adaptive processing (STAP) based on sparse recovery (SR-STAP) techniques exhibits significantly better performance than conventional STAP algorithms within a very small number of snapshots. However, when the clutter patches do not locate exactly on the discrete space-time grid points, the performances of SR-STAP algorithms degrade severe...

In this paper, we consider the problem of space–time adaptive processing (STAP) when inaccurate target (namely the angle and Doppler frequency of target are uncertain) exists in the training samples, which would result in target self-nulling effects and degrade the performance of STAP significantly. A robust STAP method is proposed by reconstructin...

The performance of space-time adaptive processing (STAP) may degrade significantly when some of the training samples are contaminated by the signal-like components (outliers) in nonhomogeneous clutter environments. To remove the training samples contaminated by outliers in nonhomogeneous clutter environments, a robust nonhomogeneous training sample...

A novel training samples selection method is proposed to improve the performance of space-time adaptive processing in non-homogeneous environments, where training samples are contaminated by interference target signals (outliers). First, the outlier component is removed from the sample covariance matrix based on clutter covariance matrix reconstruc...