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A PARAFAC Decomposition Algorithm for DOA Estimation in Colocated MIMO radar With Imperfect Waveforms

IEEE ACCESS 2019年 7卷 14680-14688页

作者： Ruan, Ning-Jun Wen, Fang-Qing Ai, Lin Xie, Kai Yangtze Univ Natl Demonstrat Ctr Expt Elect & Elect Educ Jingzhou 434023 Peoples R China

In this paper, we focus on the problem of direction-of-arrival (DOA) estimation for a colocated multiple-input multiple-output radar with imperfect waveforms, and a parallel factor (PARAFAC)-based algorithm is proposed. First, the spatial cross-correlation technique is adopted to eliminate the spatially colored noise caused by the nonorthogonal waveforms. To utilize the inherent tensor structure of the array data, the covariance matrix is rearranged into a fourth-order PARAFAC decomposition model. Thereafter, a quadrilinear decomposition algorithm is developed, which obtain the direction matrices via alternating least squares strategy. Finally, the DOAs are achieved through solving a least squares fitting problem. The proposed scheme does not require the prior knowledge of the waveform correlation matrix, and it is computationally more efficient than the state-of-the-art matrix completion (MC) approach. Furthermore, the proposed method may offer more accurate DOA estimation performance than the MC approach. The numerical experiments are provided to show the improvement of our algorithm.

关键词： multiple-input multiple-output radar direction-of-arrival estimation nonorthogonal waveforms tensor decomposition adaptive signal processing

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Joint transmit-receive B-PARAFAC method for angle estimation in bistatic MIMO radar

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DIGITAL SIGNAL PROCESSING 2019年 92卷 54-61页

作者： Xu, Baoqing Zhao, Yongbo Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China Xidian Univ Collaborat Innovat Ctr Informat Sensing & Underst Xian 710071 Shaanxi Peoples R China

In this paper, a joint transmit-receive beamspace parallel factor (B-PARAFAC) method is proposed for angle estimation in bistatic MIMO radar. Combining with the forward-backward averaging technique, the beamspace transformation technique is firstly extended to the tensor case, which utilizes the multidimensional structure of the received data. Specially, the transmit beamspace (TB) and receive beamspace (RB) matrices are obtained through convex optimization, whose matrix structure can be properly designed to construct a real-valued tensor model. Furthermore, different from the traditional discrete Fourier transform (DFT) beamspace filters, the bandwidth and sidelobe level of the proposed beamspace filters can be flexibly controlled as required, which can greatly improve the mainlobe-to-sidelobe ratio (MSR). We prove that the constructed real-valued tensor after beamspace transformation still follows a PARAFAC model. Compared with the unitary PARAFAC (U-PARAFAC) method, the proposed B-PARAFAC method has more attractive performance especially in low signal-to-noise ratio (SNR) and requires less computation. Simulation results demonstrate the effectiveness of the proposed method. (C) 2019 Elsevier Inc. All rights reserved.

关键词： multiple-input multiple-output radar Tensor decomposition Beamspace transformation Angle estimation

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Joint range and angle estimation for an integrated system combining MIMO radar with OFDM communication

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MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING 2019年第2期30卷 661-687页

作者： Liu, Yongjun Liao, Guisheng Yang, Zhiwei Xu, Jingwei Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

To perform the integration of radar and communication in waveform, we design an integrated system combining multiple-input multiple-output radar with orthogonal frequency division multiplexing (OFDM) communication. In this system, each antenna transmits the integrated waveform with a nonoverlapping block sub-frequency band. The utilized waveform is a variation of the classical OFDM communication waveform. In order to sufficiently exploit the entire system bandwidth and array aperture, a joint time and space processing approach is proposed, and hence the range and angle estimations with high resolution are obtained, whereas the range and angle are coupled. Moreover, the loss in processing gain and the Cramer-Rao bounds of range and angle estimates based on integrated waveform are derived, respectively. Theoretical analysis validates that the designed system is capable of implementing the radar and communication functions simultaneously. Finally, numerical results are presented to verify the effectiveness of the proposed approach.

关键词： Range and angle estimation Integration of radar and communication multiple-input multiple-output radar Orthogonal frequency division multiplexing Cramer-Rao bound

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Angle estimation in MIMO radar using a new sparse representation approach

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INTERNATIONAL JOURNAL OF ELECTRONICS 2019年第11期106卷 1694-1709页

作者： Liu, Baobao Kuruoglu, Ercan Engin Zhang, Junying Gini, Fulvio Xue, Tao Lei, Wenying Xian Polytech Univ Sch Comp Sci Xian 710048 Shaanxi Peoples R China CNR Ist Sci & Tecnol Informaz A Faedo Pisa Italy Xidian Univ Sch Comp Sci & Technol Xian Shaanxi Peoples R China Univ Pisa Dipartimento Ingn Informaz Pisa Italy China Acad Space Technol Inst Nav & Intrasatellite Link Technol Beijing Peoples R China

Existing direction of arrival (DOA) estimation methods in multiple-input multiple-out (MIMO) radar systems will encounter the performance degradation in the cases of few snapshots, low signal-to-noise ratio (SNR), closely spaced targets, or strongly correlated sources. To improve it, this paper develops a new sparse representation-based DOA estimation method. The main contributions are as follows: i) we construct a new real-valued double weighted -norm minimisation model;ii) we derive an improved reduced-dimension technique to enhance estimation accuracy;and iii) we design optimal and sparse weights carefully to improve the corresponding estimation accuracy. Finally, the effectiveness and theoretical analysis of the presented approach are verified by extensive numerical simulations, which proves that the new algorithm performs well at low SNR and with a small number of snapshots as well as at the coherent source case.

关键词： multiple-input multiple-output radar direction of arrival (DOA) unitary transformation sparse representation subspace fitting

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MVDR code receiver for code multiplexing MIMO radar

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ELECTRONICS LETTERS 2019年第1期55卷 49-50页

作者： Kim, E. -H. Baik, K. Sejong Univ Dept Def Syst Engn 209 Neungdong Ro Seoul 05006 South Korea Korea Res Inst Stand & Sci Ctr Med Convergence Metrol 267 Gajeong Ro Daejeon 34113 South Korea

multiple-input multiple-output (MIMO) radar recently has attracted the attention of engineers and researchers. MIMO radar performance is based on the orthogonality of the transmitted waveforms. A receiver optimisation method is proposed to suppress cross-correlation rather than finding orthogonal waveforms. The method considers two transmitters and is based on the minimum variance distorsionless response (MVDR) algorithm to minimise cross-correlation while maintaining the level of auto-correlation. Performance is evaluated by simulation using random phase code sequences. The proposed method is well suited for single target tracking, or slow moving target detection.

关键词： phase coding MIMO radar array signal processing optimisation correlation methods random codes radio receivers receiver optimisation method minimum variance distorsionless response algorithm random phase code sequences MVDR code receiver multiple-input multiple-output radar MIMO radar performance code multiplexing MIMO radar transmitted waveform orthogonality cross-correlation suppression MVDR algorithm transmitters auto-correlation level performance evaluation slow moving target detection single target tracking

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Computational Efficient DOA, DOD, and Doppler Estimation Algorithm for MIMO radar

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IEEE SIGNAL PROCESSING LETTERS 2019年第1期26卷 44-48页

作者： Xu, Jian Wang, Wen-Qin Gui, Ronghua Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China

Joint direction-of-arrival (DOA), direction-of departure (DOD), and Doppler estimation for multiple-input multiple-output (MIMO) radar usually are too time-consuming to implement because of high-dimensional searching procedures. This letter proposes a computational efficient algorithm for MIMO radar joint DOA, DOD, and Doppler estimation, which adopts an unstructured maximum likelihood method to sequentially estimate the Doppler, DOD, and DOA by three one-dimensional searching procedures based on the extended invariance principle. Numerical results validate the effectiveness together with its superiorities over conventional maximum likelihood algorithms.

关键词： Direction-of-arrival direction-of-departure Doppler unstructured maximum likelihood estimation multiple-input multiple-output radar extended invariance principle

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Comments on "Deceptive jamming suppression with frequency diverse MIMO radar"

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SIGNAL PROCESSING 2019年 158卷 1-3页

作者： Shi, Jiantao Liu, Xin Yang, Yuhao Sun, Jun Wang, Ning Nanjing Res Inst Elect Technol Nanjing 210039 Jiangsu Peoples R China CETC Key Lab Intellisense Technol Nanjing 210039 Jiangsu Peoples R China Jiangsu Second Normal Univ Nanjing 210013 Jiangsu Peoples R China

In the 2015 paper entitled "Deceptive jamming suppression with frequency diverse MIMO radar", a procedure to discriminate the true and false targets in the joint transmit-receive domain of the frequency diverse MIMO radar has been proposed based on the derived signals of the true and the false targets. This note indicates an error made during these derivations in the above paper. (C) 2018 Elsevier B.V. All rights reserved.

关键词： multiple-input multiple-output radar Frequency diverse array Range-angle-dependent Deceptive jamming suppression

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Low complexity closed-form covariance matrix and direct constant-envelope waveforms design for MIMO radar transmit beampattern

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ELECTRONICS LETTERS 2019年第21期55卷 1149-1151页

作者： Yu, Wenqi Cui, Bingyu Wuhan Elect Informat Inst Key Res Lab Wuhan 430019 Hubei Peoples R China

multiple-input multiple-output (MIMO) radar has many advantages over the phased-array radar due to the waveform diversity, one of which is the greater flexibility to design the transmit beampattern. In this Letter, a low-complexity transmit beampattern design method, considering constant envelope (CE) waveforms, is proposed for the uniform linear array MIMO radar. First, the authors parameterise the waveform covariance matrix as the integral form of continuous spatial variable, by exploiting the beamforming weight vector in the main lobe region, to derive the closed-form solution of the waveform covariance matrix that fulfils positive semi-definiteness and uniform elemental power constraints. The transmit beampattern designed by the proposed method has the spatial characteristics of low main lobe fluctuation and peak-to-sidelobe level, and further mathematical explanation is illuminated. Next, they directly use the parameterised expression of waveform covariance matrix, approximately transformed into a discrete form of the spatial variable based on the Riemann integral definition, to efficiently synthesise correlated CE waveforms. The proposed method can provide transmit beampattern performance comparable to existing methods with a lower computational cost and ensure the CE property of the waveforms. The performance of the proposed method is verified and analysed via numerical examples.

关键词： MIMO radar phased array radar radar signal processing array signal processing MIMO communication covariance matrices low complexity closed-form covariance matrix constant-envelope waveforms design MIMO radar transmit beampattern multiple-input multiple-output radar phased-array radar waveform diversity low-complexity transmit beampattern design method constant envelope waveforms uniform linear array MIMO radar waveform covariance matrix integral form closed-form solution uniform elemental power constraints low main lobe fluctuation correlated CE waveforms transmit beampattern performance

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Computationally Efficient DOA Estimation Algorithm for MIMO radar With Imperfect Waveforms

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IEEE COMMUNICATIONS LETTERS 2019年第6期23卷 1037-1040页

作者： Wen, Fangqing Yangtze Univ Sch Elect & Informat Jingzhou 434023 Peoples R China Hainan Univ State Key Lab Marine Resource Utilizat South Chin Haikou 570228 Hainan Peoples R China

Orthogonal waveforms are often desirable to multiple-input multiple-output (MIMO) radar systems. Unfortunately, the orthogonality may not be always guaranteed in practice. In this letter, we consider the direction-of-arrival (DOA) estimation problem in colocated MIMO radar with imperfect waveforms, and a new methodology is presented. The noiseless cross-covariance matrix is obtained by utilizing the spatial cross-correlation technique. DOAs are obtained via reduced-dimension multiple signal classification (RD-MUSIC). In contrast to the state-of-the-art matrix completion (MC) algorithm, the proposed RD-MUSIC method is computationally more efficient and may have an estimation performance more accurate than the existing MC approach. The numerical results show the improvement in the proposed scheme.

关键词： Direction-of-arrival estimation multiple-input multiple-output radar non-orthogonal waveforms

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Joint polarisation and frequency diversity for deceptive jamming suppression in MIMO radar

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IET radar SONAR AND NAVIGATION 2019年第2期13卷 263-271页

作者： Zhang, Xinxun Cao, Ding Xu, Leilei Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China Xidian Univ Collaborat Innovat Ctr Informat Sensing & Underst Xian 710071 Shaanxi Peoples R China Air Force Early Warning Acad Wuhan 430019 Hubei Peoples R China

The joint exploitation of polarisation and frequency diversity is considered here as a way to improve the deceptive jamming suppression capability in multiple-input multiple-output (MIMO) radar. The authors explore a special polarisation and frequency diverse MIMO (PFD-MIMO) radar system here. In the PFD-MIMO radar system, polarisation and frequency diversity are employed in the transmit array, and two-dimensional vector sensors are adopted in the receive array to measure the horizontal and vertical components of the received signals. To fully explore the potential of the PFD-MIMO radar system, the transmitting polarisation and frequency increment are both optimised by maximising the output signal-to-interference-plus-noise ratio. The simulation results demonstrate that the PFD-MIMO radar is more robust and exhibits a better performance for deceptive jamming suppression than the frequency diverse array MIMO radar and polarimetric MIMO radar. Moreover, improved deceptive jamming suppression performance is achieved when the transmitting polarisation and frequency increment are both optimised.

关键词： radar polarimetry radar signal processing jamming MIMO radar MIMO communication radar detection interference suppression improved deceptive jamming suppression performance polarimetric MIMO radar frequency diverse array MIMO radar frequency increment transmitting polarisation PFD-MIMO radar system special polarisation multiple-input multiple-output radar deceptive jamming suppression capability frequency diversity

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