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Parameter estimation for rigid body after micro-Doppler removal based on L-statistics in the radar analysis 被引量:2
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作者 Yong Wang Jian Kang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2015年第3期457-467,共11页
In traditional inverse synthetic aperture radar (ISAR) imaging of moving targets with rotational parts, the micro-Doppler (m-D) effects caused by the rotational parts influence the quality of the radar images. Rec... In traditional inverse synthetic aperture radar (ISAR) imaging of moving targets with rotational parts, the micro-Doppler (m-D) effects caused by the rotational parts influence the quality of the radar images. Recently, L. Stankovic proposed an m-D removal method based on L-statistics, which has been proved effective and simple. The algorithm can extract the m-D effects according to different behaviors of signals induced by rotational parts and rigid bodies in time-frequency (T-F) domain. However, by removing m-D effects, some useful short time Fourier transform (STFT) samples of rigid bodies are also extracted, which induces the side lobe problem of rigid bodies. A parameter estimation method for rigid bodies after m-D removal is proposed, which can accurately re- cover rigid bodies and avoid the side lobe problem by only using m-D removal. Simulations are given to validate the effectiveness of the proposed method. 展开更多
关键词 parameter estimation l-statisticS micro-Doppler (m-D) radar imaging.
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Non-uniform Berry–Esseen Bounds forWeighted U-Statistics and Generalized L-Statistics
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作者 Haojun Hu Qi-Man Shao 《Communications in Mathematics and Statistics》 SCIE 2013年第3期351-367,共17页
Weighted U-statistics and generalized L-statistics are commonly used in statistical inference and their asymptotic properties have been well developed.In this paper sharp non-uniform Berry–Esseen bounds for weighted ... Weighted U-statistics and generalized L-statistics are commonly used in statistical inference and their asymptotic properties have been well developed.In this paper sharp non-uniform Berry–Esseen bounds for weighted U-statistics and generalized L-statistic are established. 展开更多
关键词 Weighted U-statistics Generalized l-statistic l-statistic U-statistic·Non-uniform Berry-Esseen bound Normal approximation
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BOOTSTRAPPING PP L-STATISTICS FOR TESTS
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作者 施沛德 李国英 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 1991年第2期158-172,共15页
Some bootstrap approximations of the asymptotic distributions of PP L-statistics whichwere proposed by the authors in[7]are discusse.Bootstrap statistics and their asymptotic propertiesare established.Two examples and... Some bootstrap approximations of the asymptotic distributions of PP L-statistics whichwere proposed by the authors in[7]are discusse.Bootstrap statistics and their asymptotic propertiesare established.Two examples and the numerical results are given,by which one can actuallyimplement the proposed tests under the condition of normal population. 展开更多
关键词 BOOTSTRAP PROJECTION PURSUIT simulation l-statisticS location and dispersion TESTS
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ON THE CONDITION FOR CONSISTENCY OF RESAMPLING ESTIMATORS OF VARIANCE OF TRIMMED L-STATISTICS
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作者 SHI Jian(Institute of Systems Science, Academia Sinica, Beijing 100080, China)ZHENG Zhongguo(Department of Probability and Statistics, Peking University, Beijing 100871, China) 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 1997年第3期208-216,共9页
In this paper, a counter-example is presented to show that conditions given by[1] and [2] are not enough to guarantee the consistency of resampling estimators of varianceof trimmed L-statistics. To this end, a rather ... In this paper, a counter-example is presented to show that conditions given by[1] and [2] are not enough to guarantee the consistency of resampling estimators of varianceof trimmed L-statistics. To this end, a rather weak but sufficient condition is proposedto ensure the strong consistency. Lastly, a declaration in [3] on the generalization of amodified resampling procedure is found to be invalid. 展开更多
关键词 l-statisticS BOOTSTRAP RANDOM weighting variance estimation
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Particle swarm optimization for rigid body reconstruction after micro-Doppler removal in radar analysis 被引量:2
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作者 LI Hongzhi WANG Yong 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2020年第3期488-499,共12页
The rotating micro-motion parts produce micro-Doppler(m-D)effects which severely influence the quality of inverse synthetic aperture radar(ISAR)imaging for complex moving targets.Recently,a method based on short-time ... The rotating micro-motion parts produce micro-Doppler(m-D)effects which severely influence the quality of inverse synthetic aperture radar(ISAR)imaging for complex moving targets.Recently,a method based on short-time Fourier transform(STFT)and L-statistics to remove m-D effects is proposed,which can separate the rigid body parts from interferences introduced by rotating parts.However,during the procedure of removing m-D parts,the useful data of the rigid body parts are also removed together with the m-D interferences.After summing the rest STFT samples,the result will be affected.A novel method is proposed to recover the missing values of the rigid body parts by the particle swarm optimization(PSO)algorithm.For PSO,each particle corresponds to a possible phase estimation of the missing values.The best particle is selected which has the minimal energy of the side lobes according to the best fitness value of particles.The simulation and measured data results demonstrate the effectiveness of the proposed method. 展开更多
关键词 micro-Doppler(m-D) inverse synthetic aperture radar(ISAR) l-statisticS particle swarm optimization(PSO)
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非截尾型L统计量的Bootstrap逼近 被引量:5
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作者 涂冬生 成平 《系统科学与数学》 CSCD 北大核心 1989年第1期14-23,共10页
这里 J 为[0,1]上的可积函数,F<sup>-1</sup>(t)(?)inf{x:F(x)≥t},0【p<sub>1</sub>【p<sub>2</sub>【…【p<sub>m</sub>【1,α<sub>1</sub>,α<sub>2</s... 这里 J 为[0,1]上的可积函数,F<sup>-1</sup>(t)(?)inf{x:F(x)≥t},0【p<sub>1</sub>【p<sub>2</sub>【…【p<sub>m</sub>【1,α<sub>1</sub>,α<sub>2</sub>,…,α<sub>m</sub> 为给定的非零常数.T(F<sub>?</sub>)的渐近性质的讨论曾引起许多研究者的注意.Serfling 在对 J 的不同假设之下(主要是关于 J 截尾或非截尾的假设)讨论了 T(F<sub>?</sub>)的渐近正态性.下面的定理是 Serfling 在 J 为非截尾时的一个结果. 展开更多
关键词 < Abstract> For the l-statistic T■=intergral from 0 to 1 Fn-1(t)J(t)dt+sum from j=1 to N ajFn-1(Pj) under the assump-tion that J(u) IS continuous on [0 1] (that IS T(F_n) IS a nontrimmed l-statisticand other conditions on F(x) we use the bootstr
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A NEW CHARACTERIZATION OF NBU CLASS OF LIFE DISTRIBUTIONS WITH APPLICATION 被引量:2
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作者 LI Xiaohu (Department of Mathematics, Lanzhou University, Lanzhou 730000, China) 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2003年第2期222-228,共7页
Assume an unreliable workstation performing jobs with a random service time, namely, it occasionally breaks down because of unexpected interruptions. As an interruption really occurs, the station is instantaneously re... Assume an unreliable workstation performing jobs with a random service time, namely, it occasionally breaks down because of unexpected interruptions. As an interruption really occurs, the station is instantaneously repaired and the uncompleted job is restarted again from the beginning till a job is completed without being interrupted. The total service time is shown to be NBU if and only if the total time it takes to finish each job with interruptions is stochastically larger than that without them, irrespective of when and how the breakdowns occur. As an application, a nonparametric procedure is developed to test for the strict NBU property of the service time. Finally, some numerical simulations are presented as well. 展开更多
关键词 NBU INTERRUPTIONS stochastically larger l-statistic
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A CLASS OF TESTS USING L STATISTIC FOR CONSTANT RELATIVE FAILURE RATE AGAINST MONOTONE RELATIVE FAILURE RATE
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作者 K.W.Chen 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 1992年第1期19-26,共8页
In this paper we develop tests using L-statistic for constant relativefailure rate against monotone relative failure rate.Scale invariance,monotonepower and locally asymptotic power results are obtained.Some examples ... In this paper we develop tests using L-statistic for constant relativefailure rate against monotone relative failure rate.Scale invariance,monotonepower and locally asymptotic power results are obtained.Some examples arepresented. 展开更多
关键词 RELATIVE failure rate l-statistic scale INVARIANCE MONOTONE POWER ASYMPTOTIC POWER Pitman efficacy
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RELATIVE TREND AND ITS TEST
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作者 Chen Keh-wei 郑忠国 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 1989年第4期313-316,共4页
In this paper we develop tests using L-statistic for a constant relative trendagainst a convex ordered relative trend.Unbiasedness of the test is obtained.For a certainpath of trends,the score function can be chcsen s... In this paper we develop tests using L-statistic for a constant relative trendagainst a convex ordered relative trend.Unbiasedness of the test is obtained.For a certainpath of trends,the score function can be chcsen so that the sequence of the constructed testsis locally asymptotically most powerful.An example is given to illustrate the results. 展开更多
关键词 COUNTING process TREND l-statistic UNBIASEDNESS Pitman EFFICIENCY
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A NEW TEST PROCEDURE FOR NEW BETTER THAN USED IN INCREASING CONVEX ORDERING
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作者 LIXiaohu 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2004年第4期492-499,共8页
A new nonparametric procedure is developed to test the exponentiality against the strict NBUC property of a life distribution. The exact null distribution is derived by the theory of sample spacings, and the asymptoti... A new nonparametric procedure is developed to test the exponentiality against the strict NBUC property of a life distribution. The exact null distribution is derived by the theory of sample spacings, and the asymptotic normality is also established by the large sample theory of L-statistics. Finally, the lower and upper tailed probability of the exact null distribution and some numerical simulation results are presented as well. 展开更多
关键词 increasing convex ordering l-statistic NBUC sample spacings simulation
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Asymptotic distributions of non-central studentized statistics
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作者 SHAO QiMan ZHANG RongMao 《Science China Mathematics》 SCIE 2009年第6期1262-1284,共23页
Let X 1, ..., X n be independent and identically distributed random variables and W n = W n (X 1, ..., X n ) be an estimator of parameter ?. Denote T n = (W n ? ? 0)/s n , where s n 2 is a variance estimator of W n . ... Let X 1, ..., X n be independent and identically distributed random variables and W n = W n (X 1, ..., X n ) be an estimator of parameter ?. Denote T n = (W n ? ? 0)/s n , where s n 2 is a variance estimator of W n . In this paper a general result on the limiting distributions of the non-central studentized statistic T n is given. Especially, when s n 2 is the jacknife estimate of variance, it is shown that the limit could be normal, a weighted χ 2 distribution, a stable distribution, or a mixture of normal and stable distribution. Applications to the power of the studentized U- and L- tests are also discussed. 展开更多
关键词 non-central studentized statistics studentized U-statistics studentized l-statistics limiting distributions power of tests 62E20 62F05 60F05
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