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8th International Conference on Control, Automation and Information Sciences (ICCAIS)

作者： Li, Zehua Zhou, Chuan Jia, Yong Wang, Gang Yan, Chao Lv, Yu Chengdu Univ Technol Coll Informat Sci & Technol Chengdu 610059 Peoples R China Run Technol Co Ltd Beijing 100192 Peoples R China Zhejiang Univ Polytech Inst Hangzhou 310015 Peoples R China

ISBN: (纸本)9781728123110

This paper mainly deals with the problem of joint dod and doa estimation for bistatic co-prime array by forming two augmented correlation matrices. Firstly, according to the difference co-array of co-prime transmitting array, an augmented transmitting correlation matrix is constructed to serve for dod estimation by one-dimension MUSIC. Afterward, a two-step augmentation method based on transmitting and receiving difference co-arrays is proposed to generate an augmented transmitting/receiving (T/R) correlation matrix which is utilized to calculate the paired doas by one-dimension MUSIC with the estimated dods. Numerical simulations demonstrate the effectiveness of the proposed algorithm.

关键词： dod and doa estimation bistatic co-prime MIMO array difference co-array correlation matrix augmentation

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dod and doa estimation for bistatic coprime MIMO radar based on combined ESPRIT

DOD and DOA estimation for bistatic coprime MIMO radar based...

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CIE International Conference on Radar (RADAR)

作者： Li, Jianfeng Zhang, Xiaofei Jiang, Defu Hohai Univ Coll Comp & Informat Nanjing Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Elect Informat Engn Nanjing Peoples R China

ISBN: (纸本)9781509048281

The issue of direction of departure (dod) and direction of arrival (doa) estimation for bistatic coprime multiple-input multiple-output (MIMO) radar is discussed, and an algorithm based on combined estimation of signal parameters via rotational invariance technique (ESPRIT) is proposed. The transmitter and receiver both adopt coprime arrays with large inter-element spacing, which can avoid mutual coupling problem. Based on the uniformity of the subarrays in coprime arrays, ESPRIT is employed to obtain an arbitrary ambiguous estimation, which then is used to recover all the other estimations by realizing the relationships between them. The dod and doa estimation can be uniquely determined by finding the coincide estimations from two subarrays. The proposed algorithm has low complexity, and it can achieve better estimation performance than conventional methods. Simulation results verify the effectiveness of the proposed algorithm.

关键词： dod and doa estimation bistatic MIMO radar coprime arrays ESPRIT

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Joint dod and doa estimation in Bistatic MIMO Radar With Distributed Nested Arrays

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IEEE ACCESS 2019年 7卷 50954-50961页

作者： Liao, Yanping Zhao, Ruigang Gao, Lipeng Harbin Engn Univ Dept Informat & Commun Engn Harbin 150001 Heilongjiang Peoples R China

In this paper, we investigate the problem of joint direction of departure (dod) and the direction of arrival (doa) estimation in bistatic MIMO radar. A new bistatic MIMO radar with the distributed nested array is proposed. Based on the new array, the dod and doa estimation algorithm called automatically paired DR-ESPRIT based on the angle disambiguation algorithm by using the range information of targets is proposed. By designing distributed nested array and using Khatri-Rao product processing, the long baseline and short baseline in the transceiver arrays are virtually extended simultaneously. The non-ambiguous and high-accuracy sine estimations of the dod and doa can be accomplished using DR-ESPRIT algorithm and the range information of targets and the geometry of bistatic MIMO radar. The virtual extension of array aperture and high angle estimation accuracy can be achieved for the MIMO radar with automatic pairing and without increasing the number of antennas compared with traditional uniform linear MIMO array. And, the proposed corresponding algorithm gives significant improvement in the dod and doa estimation performance. The simulation results validate the theoretical algorithm.

关键词： Bistatic MIMO radar distributed nested array dod and doa estimation disambiguation DR-ESPRIT

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Grid-Free dod and doa estimation for MIMO Radar via Duality-Based 2D Atomic Norm Minimization

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IEEE ACCESS 2019年 7卷 60827-60836页

作者： Tang, Wen-Gen Jiang, Hong Pang, Shuai-Xuan Jilin Univ Coll Commun Engn Changchun 130012 Jilin Peoples R China

Atomic norm minimization (ANM) has recently become a powerful tool for gridless compressed sensing (CS). In this paper, the issue of joint estimation of direction-of-departure (dod) and direction-of-arrival (doa) for bistatic multiple-input-multiple-output (MIMO) radar is investigated via two dimensional (2D) ANM. However, a major problem of the primal 2D-ANM is that the direct conversion of 2D-ANM into its semi-definite programming (SDP) problem is not strictly established theoretically and is just an approximation, which results in a decline in estimation performance. Besides, the primal 2D-ANM is limited to a single measurement vector (SMV) model. We propose a duality-based 2D-ANM algorithm for grid-free dod and doa estimation in MIMO radar, in which the 2D-ANM problem is effectively solved over its optimal variables in the dual-domain with SDP. Thus it retains the benefits of 2D-ANM and holds in theory. Also, it is applicable for SMV as well as multiple measurement vectors (MMV) models and appropriate for non-uniform linear arrays. The simulation results show that the proposed algorithm avoids the grid mismatch effect in dod and doa estimation in contrast to the conventional CS methods, and is robust to target correlation and the single-snapshot environment in comparison with the traditional subspace methods.

关键词： Bistatic MIMO radar dod and doa estimation gridless compressed sensing two-dimensional atomic norm minimization (2D-ANM) duality

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Computationally efficient method for joint dod and doa estimation of coherent targets in MIMO radar

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SIGNAL PROCESSING 2019年 165卷 262-267页

作者： Ponnusamy, Palanisamy Subramaniam, Karthick Chintagunta, Srinivasarao Natl Inst Technol Tiruchirappalli 620015 Tamil Nadu India Int Inst Informat Technol Bhubaneswar 751003 Odisha India

This paper proposes a method for estimating the joint direction of departure (dod) and direction of arrival (doa) of coherent targets in multiple-input multiple-output (MIMO) radar with electromagnetic vector sensors. The method does not require any additional processing for both decorrelating the coherent targets and pairing the dod and doa, and exhibits real-valued operations. Compared to the existing polarization smoothing and unitary ESPRIT, the proposed method shows improved performance which is validated by the simulation results. (C) 2019 Elsevier B.V. All rights reserved.

关键词： MIMO radar dod and doa estimation Electromagnetic vector sensor Unitary ESPRIT

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Joint dod and doa estimation in Slow-Time MIMO Radar via PARAFAC Decomposition

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IEEE SIGNAL PROCESSING LETTERS 2020年 27卷 1495-1499页

作者： Xu, Feng Vorobyov, Sergiy A. Yang, Xiaopeng Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Aalto Univ Dept Signal Proc & Acoust Espoo 02150 Finland

We develop a new tensor model for slow-time multiple-input multiple-output (MIMO) radar, and apply it for joint direction-of-departure (dod), and direction-of-arrival (doa) estimation. This tensor model aims to exploit the independence of phase modulation matrix, and receive array in the received signal for slow-time MIMO radar. Such tensor can be decomposed into two tensors of different ranks, one of which has identical structure to that of the conventional tensor model for MIMO radar, and the other contains all phase modulation values used in the transmit array. We then develop a modification of the alternating least squares algorithm to enable parallel factor decomposition of tensors with extra constants. The Vandermonde structure of the transmit, and receive steering matrices (if both arrays are uniform, and linear) is then utilized to obtain angle estimates from factor matrices. The multi-linear structure of the received signal is maintained to take advantage of tensor-based angle estimation algorithms, while the shortage of samples in Doppler domain for slow-time MIMO radar is mitigated. As a result, the joint dod, and doa estimation performance is improved as compared to existing angle estimation techniques for slow-time MIMO radar. Simulation results verify the effectiveness of the proposed method.

关键词： MIMO radar Tensile stress estimation Doppler effect US Department of Defense Direction-of-arrival estimation Phase modulation dod and doa estimation factor matrices PARAFAC phase modulation matrix slow-time MIMO radar

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Robust dod and doa estimation for Bistatic MIMO Radar in Unknown Mutual Coupling and Non-Uniform Noise 12

Robust DOD and DOA Estimation for Bistatic MIMO Radar in Unk...

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IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)

作者： Tang, Wen-Gen Jiang, Hong Zhang, Qi Jilin Univ Coll Commun Engn Changchun 130012 Peoples R China

ISBN: (纸本)9781665406338

In this paper, a robust direction-of-departure (dod) and direction-of-arrival (doa) estimation approach for bistatic multiple-input multiple-output (MIMO) radar in unknown mutual coupling and non-uniform noise is proposed. First, by exploiting the property of low rank of the observed covariance matrix and the sparsity of the noise covariance matrix, a truncated nuclear norm minimization problem is cast and solved to eliminate the non-uniform noise and obtain the noisefree covariance matrix. Then, to effectively alleviate the mutual coupling between the elements of transmitting or receiving arrays, two selection matrices with respect to doa and dod estimation are respectively constructed and a new covariance matrix is formed utilizing the structural characteristics of the transmitting and receiving mutual coupling matrices. Finally, the rotation invariance in the signal subspace of the new covariance matrix is exploited to estimate the dod and doa. Unlike the existing methods with mutual coupling in bistatic MIMO radar, the proposed approach avoids simultaneously discarding both the transmitting and receiving array elements in the procedure of excluding the mutual coupling effect, so it achieves more degrees of freedom and higher estimation accuracy. Simulation results verify the robustness of the proposed approach.

关键词： Bistatic MIMO radar dod and doa estimation mutual coupling non-uniform noise nuclear norm minimization

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Sparse Bayesian Approach for dod and doa estimation With Bistatic MIMO Radar

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IEEE ACCESS 2019年 7卷 155335-155346页

作者： Cao, Zheng Zhou, Lei Dai, Jisheng Jiangsu Univ Dept Elect Engn Zhenjiang 212013 Jiangsu Peoples R China

This study addresses the problem of joint direction-of-departure (dod) and direction-of-arrival (doa) estimation with bistatic multiple-input multiple-output (MIMO) radar. To the best of our knowledge, a limited number of sparse Bayesian learning (SBL)-based methods exist that can be applied to joint dod and doa estimation. This is because of the heavy computational load and strong correlation between the nearby basis. To overcome these challenges, we present a new coarse non-uniformly sampled 2D grid and propose an improved SBL-based method for joint estimation of the dod and doa in MIMO radar. With the new grid, the computational load can be significantly reduced, and the nearby 2D grid points can provide a low correlation basis. To handle the modeling error derived from the coarse grid, we also introduce a modified linear approximation method into the SBL framework in which the locations of grid points are considered as adjustable parameters, and the grid points can be updated recursively. Finally, a block majorization-minimization algorithm is applied to perform Bayesian inference. Experimental results indicate that our method can improve the joint dod and doa estimation performance, particularly in the case of low signal-noise-ratio, limited snapshots, or correlated signals.

关键词： dod and doa estimation bistatic MIMO radar sparse Bayesian learning majorization-minimization algorithm coarse non-uniformly sampled 2D grid

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Joint multi-target dod and doa estimation in bistatic MIMO radar exploiting 2-level nested arrays

Joint multi-target DOD and DOA estimation in bistatic MIMO r...

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International Conference on Radar Systems

作者： Han Qi Hong Jiang Shunyou Yao Jilin University Changchun Jilin CN

ISBN: (纸本)9781785616723

In this paper, we investigate joint estimation of direction-of-departure (dod) and direction-of-arrival (doa) of multiple targets in bistatic MIMO radar exploiting nested arrays. By configuring 2-level nested arrays in the transmit and receive arrays, a large number of virtual array apertures are introduced. Therefore, the spatial resolution of the MIMO radar system is significantly enhanced. Moreover, the maximum number of the identifiable targets is enlarged to a higher degree compared with traditional uniform linear arrays. The signal model is formulated by the exploitation of the nested arrays. A novel row extraction method is proposed to construct an observed data vector for joint angle estimation. The simulation results validate the theoretical algorithm.

关键词： MIMO radar dod and doa estimation Nested array Virtual sensors Spatial resolution

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Enhanced dod and doa estimations in coprime MIMO radar: Modified matrix pencil method

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DIGITAL SIGNAL PROCESSING 2025年 159卷

作者： Ahmad, Mushtaq Zhang, Xiaofei Ali, Farman Lai, Xin Nanjing Univ Aeronaut & Astronaut NUAA Coll Elect & Informat Engn Nanjing 210016 Peoples R China NUAA Minist Ind & Informat Technol Key Lab Dynam Cognit Syst Electromagnet Spectrum S Nanjing Peoples R China

Recent research indicates that coprime multiple-input multiple-output (MIMO) radar systems enhance target detection and parameter estimation capabilities due to their unique array configurations. However, despite these advantages, effectively managing scenarios with both coherent and uncorrelated targets requires a delicate balance between computational efficiency and performance accuracy. In this paper, we propose an innovative approach for the joint estimation of the direction of departure (dod) and direction of arrival (doa) in coprime MIMO radar systems capable of effectively handling both coherent and uncorrelated targets. We first construct an extended virtual uniform rectangular array (URA) by employing array interpolation, which enhances the system's resolution capabilities. Next, we apply a low-rank structured matrix recovery technique to tackle inherent rank deficiency issues in coherent targets. This approach allows us to estimate the parameters of these targets accurately. We use the full-rank covariance matrix to directly apply the modified matrix pencil (MMP) method for estimating dod and doa. This dual-faceted approach automatically pairs estimated parameters without separating processing paths for coherent and uncorrelated targets. Comprehensive simulations indicate the effectiveness of our proposed algorithm in managing mixed target scenarios. It achieves high estimation accuracy and resolution while maintaining computational efficiency.

关键词： Coprime array dod and doa estimation MIMO radar Coherent targets Uncorrelated targets Array interpolation Modified metrix pencil

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