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Your search keyword '"Jin, Minglu"' showing total 245 results
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245 results on '"Jin, Minglu"'

20. Copy Theory of Signals

Author

International Symposium on Information Theory & Its Applications (1994 : Sydney, N.S.W.), Jin, Minglu, and Zhang, Qishan

Published
1994

23. Improved spectrum sensing algorithms based on high order moments of eigenvalues.

Author

LI He, ZHAO wenjing, and JIN Minglu

Subjects
RANDOM matrices, COVARIANCE matrices, COGNITIVE radio, INFERENTIAL statistics, RADIO networks, ALGORITHMS
Abstract

Blind spectrum sensing algorithms based on eigenvalues has been widely studied in multi-antenna cognitive radio networks. The design of detection algorithms based on eigenvalues relies on the random matrix theory and the characteristics of eigenvalues of sample covariance matrix. Some work has shown that high order moments of eigenvalues can provide additional identification information to improve the performance of statistical inference problems. Motivated by this, an improved spectrum sensing algorithm resorting to the pth moment of all the eigenvalues is proposed, and the analytical representations of false alarm probability and decision threshold are given using the random matrix theory. Moreover, the influence of the power change of high-order moments on the detection performance is analyzed through simulation experiments. The simulation results show the effectiveness of the proposed spectrum sensing algorithm. [ABSTRACT FROM AUTHOR]

Published
2022
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28. Radar Target Detection via Global Optimality Conditions for Binary Quadratic Programming

Author

Zhao, Wenjing, Cui, Guolong, Jin, Minglu, and Wang, Yumiao

Abstract

This article considers the problem of radar target detection in compound Gaussian clutter background. Different from the existing detector design criteria, we propose two new detection schemes for the detection problem from the optimization perspective. Specifically, in the first scheme, the detection problem is firstly studied by introducing an auxiliary variable and transforming it into a maximum likelihood estimation problem. Under this scheme, the maximum likelihood detector and its improved version with parameter estimation are developed by using maximum likelihood criterion. In the second scheme, the detection problem is recast into a binary quadratic programming (BQP) problem. Resorting to the global optimality conditions and solution for the BQP problem, we design four BQP detectors named BQPH, BQPS, BQPM and BQPW with the aid of hard decision fusion, data fusion based on summation and taking median, and whitening respectively. At the analysis stage, the statistical distributions of the BQP detectors are modelled using $t$ location-scale distribution, and the theoretical closed-form expressions of the false alarm probability, thresholds and detection probability of the four BQP detectors are further derived. Finally, simulation experiments on the simulated data and real sea clutter data are performed to highlight the effectiveness of the proposed detectors in comparison with several state-of-the-art detectors.

Published
2023
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