Zhang Lanyong

Research on information fusion of infrared and radar sensor based on SVM

The arithmetic idea of infrared sensor and radar tracking fusion is : getting solar by infrared image processing, time matching, synchronization fusion with radar data, updating object state by fusion data filtering. The fusion combines matching scores of individual obstacle recognition modules in order to improve the systems final decision. The obtained bimodal feature vector is used as input to an SVM-based classification scheme. We can found from computer simulation results that the tracking precision improved by information fusion, and mobility was responded in short time.

Intelligent Adaptive Filtering Algorithm for Electromagnetic-Radiation Field Testing

To reduce the effect of background noise on the electromagnetic-radiation field testing of large- and medium-sized equipment, this work combines the multiscale wavelet transform, particle swarm parameter optimization, and adaptive filtering algorithm improvement to obtain an intelligent adaptive filtering algorithm that can be applied to electromagnetic-radiation field tests. After these improvements, the new algorithm overcomes the problem of traditional algorithm in which the latter cannot ensure both convergence speed and steady-state error that satisfy the real-time requirements of field tests. The multiscale wavelet analysis segments and reconstructs the electromagnetic radiation and background noise of equipment within the frequency domain, and decomposes the broadband signal into a narrowband signal to overcome the difficulty in configuring broadband-signal filtering parameters. The particle swarm parameter optimization uses error

Prediction of PCB electromagnetic emission based on improved equivalent electric dipoles in time domain

\boldsymbol {E[e^{2}(n)]}

Study on state estimator for wave-piercing catamaran longitudinal motion based on EKF

as a fitness function to optimize the adaptive algorithm parameters, simplifying the operations performed by engineering personnel. The algorithm is simulated, and the actual engineering experimental data are verified in the Laboratory Virtual Instrument Engineering Workbench software platform, which prove that the proposed algorithm is more suitable to practical engineering application than the traditional adaptive filtering algorithm.

A novel adaptive interference canceller based on empirical mode decomposition

The electromagnetic compatibility of PCB (printed circuit broads) has become a problem that must be considered by engineers while designing the circuits with the extending of signal frequency. In the paper, we proposed an improved modeling method that use the electric dipoles deduced from the near-field scanning technique in time domain to analyze the characteristic of PCBs electromagnetic compatibility. The array of dipoles can simulate the radiated emission of PCB including the ground plane working under high frequency. In the experiment, we got the tangential magnetic field distribution of the surface of PCB at different time by near-field scanning, with the tangential magnetic-field component, the orientation, magnitude and phase of the dipoles can be deduced. We used the proposed method to model a highly integrated chip and the strip lines around it placed on the top of PCB. An optimization scheme of the electric dipole array is carried out to reduce the number of dipoles which can improve the calculation speed. The results of time domain equivalent electric dipoles modeling and the near-field measuring result are nearly the same, this demonstrated the effectiveness and accuracy of the proposed method. The modeling method in this paper can offer a new way to study the electromagnetic interference of PCB.

Robust Adaptive Backstepping Sliding Mode Control for Six-Phase Permanent Magnet Synchronous Motor Using Recurrent Wavelet Fuzzy Neural Network

For the characteristics of wave-piercing catamaran longitudinal motion when sailing with high speed in random waves, this paper proposes a state estimation algorithm for wave-piercing catamaran longitudinal motion based on EKF. On the one hand noise is filtered out from the noise pollution measurement signal as much as possible, and the desired signal is separated therefrom; on the other hand, all state information of the system can be obtained by simply selecting the pitch angle and heave displacement of wave-piercing catamaran. Theoretical analysis and simulation results show that the proposed state estimation algorithm can achieve satisfactory filtering accuracy and filtering efficiency.

Ship fin/wing fin rolling-reducing anti-saturation control device and control method thereof

A novel adaptive interference canceller(AIC) based on empirical mode decomposition(EMD) is presented in this paper. Specifically, the method is applied to the electromagnetic radiation measurement with nonstationary ambient electromagnetic interference(EMI). At first, the electromagnetic radiation signal with EMI noise is decomposed to different intrinsic mode functions which represent signals with different frenquencies by the EMD method. Therefor, the complicated electromagnetic signal is divided to many single frequency signals. Because of the different characteristic between the useful electromagnetic signal and EMI noise, an improved least mean square algorithm is applied to the adaptive interference canceller to eliminate the EMI noise. Experimental results show that the method has better noise cancellation capability compared to the traditional adaptive noise canceller. At the same time, the novel adaptive interference canceller improves the speed and precision of electromagnetic radiation measurement, so it can be introduced to the engineering application.