Wuhan Early Warning Academy

Wuhan, China

Wuhan Early Warning Academy

Wuhan, China
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Ren M.,Wuhan Early Warning Academy | Zhu Y.,Wuhan Early Warning Academy | Wang Z.,Wuhan Early Warning Academy | Gao T.,Wuhan Early Warning Academy
Proceedings - 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016 | Year: 2016

The paper presents the reasonable environment cognition model for multifunction radar based on time-frequency analysis and fuzzy Support Vector Machines (SVMs). Aim to extract the signal modulation characteristics corresponding to different multifunction radar task, the Smoothness Pseudo Wigner-Ville distribution and kernel principle component analysis are proposed to extract features of radar signals. Then, these discriminative and low dimensional features achieved are fed to the classifier which is designed based on fuzzy SVM. In simulation experiments, the proposed FVM classifier attains over 82% overall average correct classification rate for five classical multifunction radar signals. Experimental results show that the proposed methodology is efficient for complex multifunction radar signals detection and target environment cognition. © 2016 IEEE.

Duan K.,Wuhan Early Warning Academy | Wang Z.,National University of Defense Technology | Xie W.,Wuhan Early Warning Academy | Chen H.,Wuhan Early Warning Academy | Wang Y.,Wuhan Early Warning Academy
IET Signal Processing | Year: 2017

To improve the performance of the recently developed parameter-dependent sparse recovery (SR) space-time adaptive processing (STAP) algorithms in real-world applications, the authors propose a novel clutter suppression algorithm with multiple measurement vectors (MMVs) using sparse Bayesian learning (SBL) strategy. First, the necessary and sufficient condition for uniqueness of sparse solutions to the SR STAP with MMV is derived. Then the SBL STAP algorithm in MMV case is introduced, and the process for hyperparameters estimation via expectation maximisation is given. Finally, a computational complexity comparison with the existing algorithms and an analysis of the proposed algorithm are conducted. Results with both simulated and the Mountain-Top data demonstrate the fast convergence and good performance of the proposed algorithm. © 2017, The Institution of Engineering and Technology.

Ren M.,Wuhan Early Warning Academy | Cai Y.,Wuhan Early Warning Academy | Ma L.,Wuhan Early Warning Academy | He Y.,Wuhan Early Warning Academy
Proceedings of IEEE 9th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies, UCMMT 2016 | Year: 2017

Multifunction radar has been applied broadly because of its great performance. But the multifunction radar has a wide variety of signal types. How to recognition of multifunction radar is the most puzzled aspect of the whole environment cognition. This paper presents a signal cognition algorithm based on wavelet transform used to analyze and estimate the modulation types of signals in complex electromagnetic environment. And according to target moving characteristics and electromagnetism scattering theory, a micro-Doppler moving feature model was established and revealed the features of amount, position of geometry center and sliding phenomenon. Experimental results showed the proposed method can effectively improve the performance of the radar environment cognition and make the target recognition more feasibly and practical. © 2016 IEEE.

Hu X.Q.,Wuhan Early Warning Academy | Hu X.Q.,National Information Control Laboratory | Chen H.,Key Laboratory of Wuhan Early Warning Academy | Chen H.,National Information Control Laboratory | Jiao X.L.,Wuhan Early Warning Academy
Advanced Materials Research | Year: 2013

The calibration algorithm for circular array in the presence of amplitude and phase error is researched deep exploiting the assistant sensors. In order to calibrate the amplitude and phase error for the circular array, in this paper, two setting methods of assitant elements are presented, i.e., assitant elements are setted on the coordinate axis and on circle. Simulation experiments results show that the two proposed setting methods are effective in the presence of amplitude and phase error for circular array, and has low computational burden and high estimation precision of angle and amplitude and phase error. © (2013) Trans Tech Publications, Switzerland.

Duan K.,Wuhan Early Warning Academy | Xie W.,Wuhan Early Warning Academy | Wang Y.,Wuhan Early Warning Academy | Liu W.,National University of Defense Technology | Gao F.,Wuhan Early Warning Academy
Multidimensional Systems and Signal Processing | Year: 2016

Direct data domain (DDD) space-time adaptive processing methods avoid nonhomogenerous training samples and can effectively suppress the clutter within the test range cell. However, it suffers inevitable performance loss due to the spatial and temporal smoothing process. Furthermore, the clutter suppression ability of these methods sharply degrades when applied to non-uniform and non-linear array for airborne radar. In this paper, a novel clutter suppression approach in the direct data domain is proposed, which describes clutter characteristic of the test range cell with AR model. For convenience, the novel method is referred to as (Formula Presented.). It utilizes the most system DOF. Hence, it suffers less aperture loss, compared to conventional DDD methods, e.g., the direct data domain least squares (Formula Presented.). More importantly, (Formula Presented.) can achieve much better clutter suupression prformance than (Formula Presented.) when applied to conformal array airborne radar because it does not need the spatial smoothing. The effectiveness of the (Formula Presented.) is verified by numerical examples for the case of a circular array. © 2014, Springer Science+Business Media New York.

Wang Y.,Wuhan Early Warning Academy | Duan K.,Wuhan Early Warning Academy | Xie W.,Wuhan Early Warning Academy
International Journal of Antennas and Propagation | Year: 2013

A novel space-time adaptive processing (STAP) method for nonstationary clutter suppression is proposed. The developed method forms a multibeam along the cross line to participate in adaptive processing, which sufficiently utilizes the spatial information both in azimuth and elevation and guarantees the least system degrees of freedom (DOFs). The characteristics of this structure help to suppress the short-range clutter which is the primary component of nonstationary clutter. Therefore, this method provides favorable clutter suppression performance when clutter range dependence exists. Approach analysis and simulation results are given to demonstrate the effectiveness of the method. © 2013 Yongliang Wang et al.

Ouyang Y.,Wuhan Early Warning Academy | Wang C.,Wuhan Early Warning Academy | Shi B.,Wuhan Early Warning Academy | Li W.,Wuhan Early Warning Academy | And 2 more authors.
Proceedings - 2015 Chinese Automation Congress, CAC 2015 | Year: 2015

For star images obtained by star sensors, how to precisely and quickly estimate the measurement accuracy of angular distance between different magnitude stars still remains a challenge problem. In this paper, on the basis of analyzing the standard deviation of star centroid position bias, a theoretical measurement accuracy determination model of inter-star angles is proposed. However, this method has its limitation and can only be used to help design low-cost star trackers which commonly have small field-of-view (FOV) (no larger than 4° × 4°) Experiments on the simulated star maps show the effectiveness of proposed model. © 2015 IEEE.

Hu X.Q.,Wuhan Early Warning Academy | Liu Y.B.,Wuhan Early Warning Academy | Jiao X.L.,Wuhan Early Warning Academy
Multimedia, Communication and Computing Application - Proceedings of the International Conference on Multimedia, Communication and Computing Application, MCCA 2014 | Year: 2015

To get narrow beam width and estimate coherent sources, a novel nonuniform array structure is proposed in this article. Using the whole sensors, the narrow beam can be obtained and the close signals can be separated. In the meantime, coherent signals can be estimated using part sensors. The presented nonuniform array increases the coefficient of utilization of sensors, i.e., less sensors is required. Theoretical results show that the designed novel array has no ambiguity. Two arrays are designed using this idea. Simulation experiment results demonstrate that the estimation performance of the designed array is superior to that of the uniform linear array. © 2015 Taylor & Francis Group, London.

Xie W.,Wuhan Early Warning Academy | Zhang B.,Wuhan Early Warning Academy | Wang Y.,Wuhan Early Warning Academy | Zhu Y.,Wuhan Early Warning Academy | And 2 more authors.
Eurasip Journal on Advances in Signal Processing | Year: 2013

Bistatic pulse-Doppler airborne radar has desirable properties such as the low probability of detection by other radars relative to its monostatic counterpart. However, the clutter characteristics of bistatic airborne radar are more complex than those of monostatic airborne radar. The clutter spectra not only vary severely with range, but also vary with bistatic configuration. In this article, the geometry model of bistatic airborne radar is given, and the approximate estimation expressions for clutter degrees of freedom (DOFs) are presented. Then a novel clutter suppression method for bistatic airborne radar with range ambiguity is presented. The method completes registration-based range ambiguity clutter compensation based on non-uniform sampling and the estimated clutter DOFs. The simulation results illustrate the performance improvement achieved for bistatic airborne radar. © 2013 Xie et al.; licensee Springer.

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