Time filter

Source Type

Yang B.,Shanxi Electrical Power Technical College | Wen F.,Yangtze University | Wen F.,Key Laboratory of Radar Imaging and Microwave Photonics | Liu S.,Key Laboratory of Radar Imaging and Microwave Photonics
2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016 | Year: 2016

This paper discusses the problem of joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation for bistatic multiple-input multiple-output radar. A three-order tensor model is formulated to exploit the multidimensional structure inherent the received data. To obtain an accurate angle estimation in low signal-to-noise ratio scene, the high-dimensional tensor data is then compressed to core tensor. Joint DOD and DOA estimation is linked to PARAFAC decomposition of the core tensor data. The proposed algorithm can achieve automatic pairing of the estimated angles and outperform the existing methods. The experimental results demonstrate the effectiveness of the proposed method. © 2016 IEEE.


Bin Y.,Shanxi Electrical Power Technical College | Fangqing W.,Yangtze University | Fangqing W.,Key Laboratory of Radar Imaging and Microwave Photonics | Su L.,Yangtze University | Su L.,Key Laboratory of Radar Imaging and Microwave Photonics
ISAPE 2016 - Proceedings of the 11th International Symposium on Antennas, Propagation and EM Theory | Year: 2016

In this paper, a noncircular PARAFAC (NC-PARAFAC)-based algorithm is developed for joint angle and delay estimation (JADE) in a multipath communication scenario. To utilize the inherent multidimensional structure in the received data, a three-order tensor is formulated which linked the estimations of angle and delay to the PARAFAC model. To further exploit the property of noncircular signals, an expanded PARAFAC decomposition algorithm is presented. The proposed algorithm doubles the array aperture, thus it has better JADE accuracy than the existing methods. The proposed algorithm does not require spectral peak searching or eigenvalue decomposition of the received signal covariance matrix, and it can achieve automatic pairing of the estimated parameters. Extensive numerical experiments verify the effectiveness and improvement of our algorithm. © 2016 IEEE.


Bin Y.,Shanxi Electrical Power Technical College | Dongmei H.,Naval Command College | Su L.,Key Laboratory of Radar Imaging and Microwave Photonics
ISAPE 2016 - Proceedings of the 11th International Symposium on Antennas, Propagation and EM Theory | Year: 2016

This paper discusses the problem of two-dimensional direction-of-arrival (2D-DOA) estimation for uniform rectangular array (URA). A noncircular high-order singular value decomposition (NC-HOSVD) is developed for 2D-DOA estimation. By employing the NC property of the source matrix as well as the multidimensional structure of the received data, an expanded three-order tensor model is formulated, which doubles the number of detectable sources. A signal subspace method is constructed to obtain 2D-DOA with the HOSVD method. The proposed NC-HOSVD method outperforms the ESPRIT and the HOSVD methods. The experimental results demonstrate the effectiveness of the proposed method. © 2016 IEEE.


Hong F.,Key Laboratory of Radar Imaging and Microwave Photonics | Liu J.,Key Laboratory of Radar Imaging and Microwave Photonics | Ji B.,Nanjing University of Technology | Zhou Y.,Key Laboratory of Radar Imaging and Microwave Photonics | And 3 more authors.
IEEE Transactions on Industrial Electronics | Year: 2015

A new single inductor dual buck full-bridge inverter is proposed in this paper. The inverter is improved on the basis of a dual buck inverter, and it retains the advantage of a no reverse recovery of body diode. The dc voltage utilization rate can be increased by adopting the voltage commutation bridge instead of the voltage-dividing capacitors in the inverter. In addition, comparing with other dual buck inverters, the inverter has just one filter inductor, which can make the volume and weight of the system decreased observably and improve the integration. The controlling method, combining the high- and low-frequency modulation, is adopted to weaken the complexity of control and improve the reliability and stability of the system. The operating principle, characteristic analysis, simulation and experiment are provided in this paper. A 1-kW prototype is established and tested, and the results of simulation and experiment verify the correctness of the theoretical analysis. © 1982-2012 IEEE.


Wu D.,Key Laboratory of Radar Imaging and Microwave Photonics | Kong Y.,Key Laboratory of Radar Imaging and Microwave Photonics | Zhu D.,Key Laboratory of Radar Imaging and Microwave Photonics | Shen M.,Hohai University
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2014

An efficient approach to achieve ground moving target indication (GMTI) for synthetic aperture radar (SAR) is to use the Monopulse-SAR system. This paper examines the statistics of monopulse ratio (MR) for SAR/GMTI model when complex Gaussian clutter-plus-noise is considered. The probability density function (pdf) of MR is analyzed in detail. Especially, the conditional likelihood function of MR under the null hypothesis is given in a closed-form defined by special functions. An automatic constant false-alarm rate (CFAR) detector for moving targets is provided and extended to a multi-MRD form to further improve the final detection performance. Experimental results are presented to examine the detection performance and validate the theoretical analysis. © 2014 IEEE.


Wen F.-Q.,Nanjing University of Aeronautics and Astronautics | Wen F.-Q.,Key Laboratory of Radar Imaging and Microwave Photonics | Zhang G.,Nanjing University of Aeronautics and Astronautics | Zhang G.,Key Laboratory of Radar Imaging and Microwave Photonics
Wireless Personal Communications | Year: 2015

This paper addresses the problem of two-dimensional (2D) direction of arrival (DOA) estimation for monostatic multiple-input multiple-output (MIMO) radar equipped with arbitrary arrays manifold. A low-complexity multi-way compressive sensing (MCS) 2D DOA estimation algorithm is derived in this paper. To ease the computational burden, the received data are first arranged into a trilinear model, and then three random compression matrixes are individually applied to reduce each tensor to a much smaller tensor. Finally, the 2D DOA estimation problem then links to the low-dimensional trilinear model. The proposed algorithm has estimation performance close to that of the trilinear decomposition algorithm while it is more appealing form the perspective of storage capacity. Compared with other estimation algorithms, such as multiple signal classification, our MCS algorithm requires neither eigenvalue decomposition of the received signal covariance matrix nor spectral peak searching. It also doesn’t require array interpolation of the array geometry, therefore the proposed algorithm has much less computational load, which indicates the proposed algorithm will have wide application in the future for Massive MIMO systems. © 2015 Springer Science+Business Media New York


Peng Z.,Nanjing University of Aeronautics and Astronautics | Ben D.,Key Laboratory of Radar Imaging and Microwave Photonics | Zhang G.,Key Laboratory of Radar Imaging and Microwave Photonics | Cai X.,95835 PLA Troops
Transactions of Nanjing University of Aeronautics and Astronautics | Year: 2015

The Cramer-Rao bound (CRB) for two-dimensional (2-D) direction of arrival (DOA) estimation in multiple-input multiple-output (MIMO) radar with uniform circular array (UCA) is studied. Compared with the uniform linear array (ULA), UCA can obtain the similar performance with fewer antennas and can achieve DOA estimation in the range of 360°. This paper investigates the signal model of the MIMO radar with UCA and 2-D DOA estimation with the multiple signal classification (MUSIC) method. The CRB expressions are derived for DOA estimation and the relationship between the CRB and several parameters of the MIMO radar system is discussed. The simulation results show that more antennas and larger radius of the UCA leads to lower CRB and more accurate DOA estimation performance for the monostatic MIMO radar. Also the interference during the 2-D DOA estimation will be well restrained when the number of the transmitting antennas is different from that of the receiving antennas. ©, 2015, Nanjing University of Aeronautics an Astronautics. All right reserved.


Wen F.-Q.,Nanjing University of Aeronautics and Astronautics | Wen F.-Q.,Key Laboratory of Radar Imaging and Microwave Photonics | Zhang G.,Nanjing University of Aeronautics and Astronautics | Zhang G.,Key Laboratory of Radar Imaging and Microwave Photonics | And 3 more authors.
Wuli Xuebao/Acta Physica Sinica | Year: 2015

As a widely applied model for compressive sensing, the multitask compressive sensing can improve the performance of the inversion by appropriately exploiting the interrelationships of the tasks. The existing multitask compressive sensing recovery algorithms only utilize the statistical characteristics of a sparse signal, the structural characteristics of the sparse signal have not been taken into consideration. A multitask compressive sensing recovery algorithm is proposed in this paper based on the block sparse Bayesian learning. The block sparse single measurement vector model is applied to the multi-task problem. Both statistical and block structural characteristics of the sparse signal are used to build a mathematical model, and the sparse inverse problem is linked to the parameter iteration problems in the Bayesian framework. The proposed algorithm does not require the sparseness information and noise beforehand, which turns out to be an effective blind recovery algorithm. Extensive numerical experiments show that the proposed algorithm can exploit both statistical and structural characteristics of the signal, therefore it may reach a good trade-off between the recovery accuracy and the convergence rate. ©, 2015 Chinese Physical Society.


Feng J.,Key Laboratory of Radar Imaging and Microwave Photonics | Feng J.,Nanjing University of Aeronautics and Astronautics | Zhang G.,Key Laboratory of Radar Imaging and Microwave Photonics | Zhang G.,Nanjing University of Aeronautics and Astronautics
KSII Transactions on Internet and Information Systems | Year: 2015

In radar imaging, a target is usually consisted of a few strong scatterers which are sparsely distributed. In this paper, an improved sparse signal recovery algorithm based on smoothed (SL0) norm method is proposed to achieve high resolution ISAR imaging with limited pulse numbers. Firstly, one new smoothed function is proposed to approximate the norm to measure the sparsity. Then a single loop step is used instead of two loop layers in SL0 method which increases the searching density of variable parameter to ensure the recovery accuracy without increasing computation amount, the cost function is undated in every loop for the next loop until the termination is satisfied. Finally, the new set of solution is projected into the feasible set. Simulation results show that the proposed algorithm is superior to the several popular methods both in terms of the reconstruction performance and computation time. Real data ISAR imaging obtained by the proposed algorithm is competitive to several other methods. © 2015 KSII.


Zhou Y.,Key Laboratory of Radar Imaging and Microwave Photonics | Hong F.,Key Laboratory of Radar Imaging and Microwave Photonics | Wang C.,Key Laboratory of Radar Imaging and Microwave Photonics | Huang W.,Nanjing University of Aeronautics and Astronautics
Proceedings of the International Conference on Power Electronics and Drive Systems | Year: 2015

This paper presents a single-phase to three-phase adjustable-speed drive (ASD) system, which consists of a diode rectifier and a single-stage boost inverter without electrolytic capacitors (E-caps). The system has no shoot through issues and gains high reliability due to the shoot-through zero state regulation method. By using E-caps-less topology, the life time can be greatly increased. By properly designing the tapping position of the inductor, the system has a high boost inversion gain and can ride-through grid voltage sags. By using the proposed harmonic injection method, the system can realize high input power factor and small dc-link ripple voltage, simultaneously. Experimental results of the electrolytic capacitors-less single-stage boost inverter (E-caps-less SSBI) based single-phase to three-phase ASD system are obtained to verify the actual performances. © 2015 IEEE.

Loading Key Laboratory of Radar Imaging and Microwave Photonics collaborators
Loading Key Laboratory of Radar Imaging and Microwave Photonics collaborators