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Shen J.-F.,The State Radio Monitoring Center
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2014

This article researches the radio interference (RI) from the tower scattering of high-voltage power transmission line (HVPTL) to radio direction finding (DF) system. The theoretical simulation is verified by numerical analysis on the measured data. Two HVPTLs nearby a DF station were constructed. From the very beginning we started series tests based on the selected sites around the station. The analyzing and comparison of the test data shows that there is impact of the HVPTL to radio DF, the accuracy of the DF with spatial spectrum estimation is better than the one with correlative interferometer, which improved 1° and 0.5° in corresponding frequency band.


Luan S.-Y.,Dalian University of Technology | Qiu T.-S.,Dalian University of Technology | Yu L.,Dalian University of Technology | Li J.-C.,The State Radio Monitoring Center | Tan H.-F.,Beijing University of Posts and Telecommunications
Dalian Ligong Daxue Xuebao/Journal of Dalian University of Technology | Year: 2014

A novel algorithm is proposed to locate the civil aviation ground interference source accurately and effectively via plane scattered signals. Firstly, a new method of arranging initial reference points is raised which is analyzed theoretically and testified experimentally. Secondly, correntropy and weighted centroid are introduced to optimize the existing locating algorithm. Both analyses and experiments are carried out. Simulation results show that the proposed algorithm improves the locating accuracy significantly and it has better practicality under equal amount of computations. ©, 2014, Dalian University of Technology. All right reserved.


Luan S.-Y.,Dalian University of Technology | Qiu T.-S.,Dalian University of Technology | Li J.-C.,The State Radio Monitoring Center | Tan H.-F.,Beijing University of Posts and Telecommunications
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2014

An interference locating algorithm based on scattered plane signals is proposed to quickly and accurately locate the radio interference which is the main threat to civil aviation communication. Firstly, several reference points are chosen utilizing maximum correlation coefficients of Doppler frequency shift curves. Secondly, interference locations are estimated using weighted centroid with the reference points. Discussions are made on the relationship between the locating accuracy and the number of points chosen, as well as the relationship between the locating accuracy and the sensitivity β. Further comparison between the proposed algorithm and the former ones is also made. It is proved through simulations and experiments that the proposed algorithm leads to better accuracy with less computation. ©, 2014, Chinese Institute of Electronics. All right reserved.


Zhao X.,North China Electrical Power University | Guo C.,North China Electrical Power University | Li J.,The State Radio Monitoring Center
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | Year: 2016

To recognize the major modulation schemes which are applied to concurrent communication systems, a joint method based on the high-order cumulants and cyclic spectrum with intelligent decision algorithm (neural network) is proposed to recognize the modulation schemes for digital signals. Firstly, a new featured parameter is extracted from the four-order and six-order cumulants of the digital signals to identify the modulation schemes of {BPSK, 2ASK}, {QPSK}, {2FSK, 4FSK}, {MSK}, and {16QAM, 64QAM}, then {OFDM}, {16QAM, 64QAM}, {2ASK, BPSK}, and {2FSK, 4FSK} are classified by the other featured parameters of the joint high-order cumulants and cyclic spectrum algorithms. In order to facilitate the engineering implementation, the semi-physical simulation and mixed programming of LabVIEW and MATLAB are used to validate the proposed algorithms. Simulation results show that the algorithms can recognize modulations {OFDM, BPSK, QPSK, 2ASK, 2FSK, 4FSK, MSK, 16QAM, 64QAM} with small Signal-to-Noise Ratio (SNR). The average recognition rate is more than 94% with SNR greater or equal than 5 dB, which validates the effectiveness of the proposed algorithms. © 2016, Science Press. All right reserved.


Liu Y.,Inner Mongolia University | Qiu T.-S.,Dalian University of Technology | Li J.-C.,The State Radio Monitoring Center
Tongxin Xuebao/Journal on Communications | Year: 2013

The problem of time delay estimation (TDE) for cyclostationary signals in the presence of a-stable distribution impulsive noise and interfering signals was addressed. Since the conventional algorithms based on the second-order cyclic spectral correlation function degenerated severely in impulsive noise environment, a novel robust algorithm based on the fractional lower-order spectrum was proposed. Compared with conventional spectra analysis methods, this novel method could suppress Gaussian noise, non-Gaussian impulsive noise and interfering signals more effectively. Simulation results demonstrate the effectiveness and robustness of the novel algorithm.

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