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wald tests for signal detection when uncertainty exists in a target's spatial-temporal steering vector

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Science China(Information Sciences) 2020年第8期63卷 266-268页

作者： Weijian LIU Jingjing LI Pengxun WANG Xiufeng ZHA Yong-Liang WANG Wuhan Electronic Information Institute

Dear editor,Multichannel signal detection is a basic problem in signal processing, especially in radar systems [1–3].In the real world, the signal steering vector is affected by unadjusted array gain-phase error, maneuverable flight, accelerating flight of a target,and other factors that introduce uncertainties [4].These uncertainties can be largely alleviated in

关键词： Adaptive detection generalized direction detection multichannel signal detection wald test signal mismatch

RFD-Rao and RFD-wald tests for distributed targets with range walking effect

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Journal of Central South University 2018年第6期25卷 1437-1446页

作者： WANG Yu CAO Yun-he SU Hong-tao WANG Sheng-hua National Laboratory of Radar Signal Processing Xidian UniversityXi＇an 71007 lChina Collaborative Innovation Center of Information Sensing and Understanding Xidian UniversityXi＇an 710071China ~ Central South University Press and Springer-Verlag GmbH Germanypart of Springer Nature 2018

Two novel adaptive distributed target detectors, the range frequency domain-Rao （RFD-Rao） and range frequency domain-wald （RFD-wald） tests are proposed in this work. The application methods for these tests consider a partially homogeneous disturbance environment and a target range walking effect in a coherent processing interval （CPI）. The asymptotic performance of the detectors is analyzed, and the constant false alarm rate （CFAR） properties with respect to the clutter covariance matrix and power level are shown. The performances of the proposed adaptive detectors are assessed through Monte-Carlo simulations, and the results are presented to demonstrate the effectiveness of the proposed detection algorithms compared to those of similar existing detectors.

关键词： adaptive detection distributed target Rao test wald test range walking

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Subspace detection for range-spread target to suppress interference:exploiting persymmetry in non-homogeneous scenario

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Journal of Systems Engineering and Electronics 2022年第1期33卷 60-71页

作者： GAO Yongchan MAO Linlin ZHU Shengqi ZUO Lei Department of Electronic Engineering Xidian UniversityXi’an 710071China Institute of Acoustics Chinese Academy of SciencesBeijing 100190China National Laboratory of Radar Signal Processing Xidian UniversityXi’an 710071China

This paper deals with subspace detection for rangespread target in non-homogeneous clutter with unknown covariance matrix where structured interference is presented in the received *** exploiting the persymmetry of the clutter covariance matrix,we propose two adaptive target detectors,which are referred to as persymmetric subspace Rao to suppress interference and persymmetric subspace wald to suppress interference("PS-Rao-I"and"PS-wald-I"),*** persymmetry-based design brings in the advantage of easy implementation for small training sample *** signal flow analysis of the two detectors shows that the PS-Rao-I rejects interference and integrates signals successively through separated matrix projection,while the PS-wald-I jointly achieves interference elimination and signal combination via oblique *** addition,both detectors are shown to be constant false alarm rate detectors,significantly improving the detection performance with other competing detectors under the condition of limited training.

关键词： adaptive detection range-spread target persymmetric structure Rao test wald test

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Multichannel radar adaptive signal detection in interference and structure nonhomogeneity

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Science China(Information Sciences) 2017年第11期60卷 221-234页

作者： Weijian LIU Hui HAN Jun LIU Hongli LI Kai LI Yong-Liang WANG Air Force Early Warning Academy State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National Laboratory of Radar Signal Processing Xidian University Collaborative Innovation Center of Information Sensing and Understanding Xidian University School of Electronic Information Wuhan University

In this paper, we consider the problem of multichannel radar signal detection in interference and structure nonhomogeneity. The interference is often caused by electromagnetic countermeasure(ECM) systems or industrial activity, while the nonhomogeneity usually arises because of rapid variations in terrain or radar antenna structure. We propose three adaptive detectors according to three common criteria of detector design, namely, the generalized likelihood ratio test(GLRT), Rao test, and wald test. Extensive performance comparisons are conducted under different scenarios. It is shown that when the nonhomogeneity is severe, the detector devised according to the GLRT achieves the best detection performance. In other scenarios, the detector designed according to the wald test may be the best choice, which has the highest probability of detection.

关键词： adaptive detection generalized likelihood ratio test heterogeneity interference multichannel sig nal nonhomogeneity Rao test wald test

Asymptotics on Semiparametric Analysis of Multivariate Failure Time Data Under the Additive Hazards Model

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Acta Mathematicae Applicatae Sinica 2005年第2期21卷 237-246页

作者： Huan-binLiu Liu-quanSun Li-xingZhu DepartmentofMathematics HuanggangNormalUniversityHuanggang438000China AcademyofMathematicsandSystemsSciences ChineseAcademyofSciencesBeijing100080China AcademyofMathematicsandSystemsSciences ChineseAcademyofSciencesBeijing100080China//UniversityofHongKongHongKongChina

Many survival studies record the times to two or more distinct failures oneach subject. The failures may be events of different natures or may be repetitions of the same kindof event. In this article, we consider the regression analysis of such multivariate failure timedata under the additive hazards model. Simple weighted estimating functions for the regressionparameters are proposed, and asymptotic distribution theory of the resulting estimators are *** addition, a class of generalized wald and generalized score statistics for hypothesis testingand model selection are presented, and the asymptotic properties of these statistics are examined.

关键词： Multivariate failure times additive hazards model censoring estimatingequation wald test score test

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