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Multi-mode Radar Signal Sorting by Means of Spatial Data Mining
Wan, Jian,Nan, Pulong,Guo, Qiang,Wang, Qiangbo The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.5
For multi-mode radar signals in complex electromagnetic environment, different modes of one emitter tend to be deinterleaved into several emitters, called as "extension", when processing received signals by use of existing sorting methods. The "extension" problem inevitably deteriorates the sorting performance of multi-mode radar signals. In this paper, a novel method based on spatial data mining is presented to address above challenge. Based on theories of data field, we describe the distribution information of feature parameters using potential field, and makes partition clustering of parameter samples according to revealed distribution features. Additionally, an evaluation criterion based on cloud model membership is established to measure the relevance between different cluster-classes, which provides important spatial knowledge for the solution of the "extension" problem. It is shown through numerical simulations that the proposed method is effective on solving the "extension" problem in multi-mode radar signal sorting, and can achieve higher correct sorting rate.
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Multi-mode Radar Signal Sorting by Means of Spatial Data Mining
Jian Wan,Pulong Nan,Qiang Guo,Qiangbo Wang 한국통신학회 2016 Journal of communications and networks Vol.18 No.5
Formulti-mode radar signals in complex electromagneticenvironment, different modes of one emitter tend to be deinterleavedinto several emitters, called as “extension”, when processingreceived signals by use of existing sorting methods. The “extension”problem inevitably deteriorates the sorting performance ofmulti-mode radar signals. In this paper, a novel method based onspatial data mining is presented to address above challenge. Basedon theories of data field, we describe the distribution information offeature parameters using potential field, and makes partition clusteringof parameter samples according to revealed distribution features. Additionally, an evaluation criterion based on cloud modelmembership is established to measure the relevance between differentcluster-classes, which provides important spatial knowledgefor the solution of the “extension” problem. It is shown through numericalsimulations that the proposed method is effective on solvingthe “extension” problem in multi-mode radar signal sorting,and can achieve higher correct sorting rate.
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A SiC MOSFET‑based parallel multi‑inverter inductive power transfer (IPT) system
Qiang Bo,Lifang Wang,Yuwang Zhang 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.6
A parallel multi-inverter inductive power transfer (IPT) system based on SiC MOSFETs is presented to upgrade the power level and to suppress the circulating current. First, the basic principle and a mathematical model of a parallel multi-inverter IPT system are analyzed, and the output current and power for each of the parallel inverters are modeled. Second, the compensation network parameters for the parallel multi-inverter IPT system are confi gured and a cooperative control strategy is given. Third, various circulating loops and zero-voltage-switching (ZVS) operation are studied. Finally, a 1.2 kW IPT system is built for experimental verifi cation. Results obtained with the experimental system demonstrate that the output power ratio for each of the parallel inverters is about 1:2 and all of them achieve ZVS. In addition, the maximum effi ciency of the DC–DC system is measured to be 92.53%, while the circulating current amplitude is only 0.2 A.
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