Yonghong Li

PhD student since start 2003, withdrew from program in mid-2003
Visiting Fellow in 2002

B.Eng. in Electrical Eng., Dalian Maritime University, P.R. China, 1985.

M.Eng. in Radio Navigation Technology, Dalian Maritime University, P.R. China, 1988.

• GPS signal analysis (characteristics of stationary and non-stationary noise in GPS data).
  
• Wavelet construction for the GPS signal denoising (construction of spline wavelet and bi-orthogonal wavelet bases for GPS signal denoising, design of filter banks, and optimisation of coefficiency in bi-orthogonal wavelet).
  
• Dynamic predicting algorithm on-line (model for time variable limit in denoising, optimisation of parameters in predicting model - ARMA and neural network).
  
• Simulation with MATLAB and algorithm realization with DSP (improving dynamic locating accuracy, real-time signal processing).

• Design of parallel model for target tracking in marine radar signal processing: neural network construction, modified algorithm in network training, property analysis.
• Neural network construction for multi-dimensional prediction: optimization of the scale of network with respect to the input/output dimension, error bounds, and property analysis in robust and convergence.
• Correlative filter for radar signal detection for mistracking or cross-tracking: correlative filter algorithm, describe the relationship between wavelet and detection property, detection rules.
• Simulation with MATLAB: 4-dimensional input signal of radar and output 2 or 4-dimensional, relationship between error and speed, property in convergence, robust, correlative detection, and tracking rapid changes in the signal.

• ARPA speech output system: series/parallel interface between ARPA and speech output system - acquired target data and the displayed data on the panel, designing a controlling system with two Z80 CPU, communications between the two microprocessors, speech synthesis and output by panel controlling.
• Describe the sea clutter as Portony model, and obtain the local optimum detection for the clutter.
• Multi-decorrelation radar: time, frequency, space and polarity decorrelation.

Specialised:

• Radar signal processing (filtering and predictinon algorithm for the tracking of maneuvering target/ signal detection / multi-target tracking data processing).
• Digital signal analysis and processing (DHT/ Gabor transform/ parameter estimation/ FIR/ IIR filter design/ non-stationary signal analysis and processing).
• Control circuit design.
• Multi-dimensional signal processing.
• Algorithm simulation with C programming.

Strong knowledge:

• Signal analysis and processing for general continuous/discrete signal: frequency spectrum/ complex frequency spectrum/ power spectrum/adaptive nonlinear processing/ adaptive estimation and filtering/ wavelet.
• Neural Network: classification/ prediction/ BP and its modified algorithm in variable stepsize, active function, momentum factor/ discuss the relationship between the net scale and input/output dimension in multi-dimensional signal prediction/ robust property/ error bounds/ wavelet net.
• Wavelet construction and its application: construction of spline wavelet and bi-orthogonal wavelet bases/ design of filter banks/ optimisation of coefficients in bi-orthogonal wavelet/ wavelet selection for the problem of prediction, denoise, and function approximation with wavelet net, property analysis and system optimisation of the wavelet net.
• Algorithm simulation with MATLAB/FORTRAN.
• DSP technology in signal processing(TMS320C54 family).

PhD Research:

Utilisation of Indirect GPS Signals. The Global Positioning System (GPS) is the most effective tool for navigation and positioning on the EarthÕs surface. The multipath, which is the greatest challenge to precise GPS positioning, has, over the last few years, also been viewed as a useful signal for various reflected signal detection and remote sensing applications. By applying the bistatic radar principle, this "indirect" GPS signal has been used for such purposes as the measurement of the roughness of sea surface, wind speed/direction, sea ice state, ground deformation, and soil moisture content.

Publications (to end 2003):

LI, Y., RIZOS, C., DONSKOI, E., HOMER, J., MOJARRABI, B., 2003. Terrain imaging using a SAR system based on reflected GPS signals. Wuhan University Journal of Nature Sciences, 8(2B), 659-664.

LI, Y., RIZOS, C., DONSKOI, E., HOMER, J., MOJARRABI, B., 2002. 3D multi-static SAR system for terrain imaging based on indirect GPS signals. Journal of Global Positioning Systems, 1(1), 34-39. (Download PDF)

Li Yonghong, et al. (2000). A Novel Method of Marine Radar Target Track. ACTA ELECTRONICA SINICA, 2000(9).

Li Yonghong, et al. (2000). Mistracking Detection On-Line with Spline Wavelet and its Characteristic Analysis. 5th Int. Conf. on Signal Processing (ICSPÕ2000), 345-348.

Li Yonghong (2000). A Correlating Predicting Method with Wavelet Network in Radar. Journal of Dalian Maritime University, 2000(2): 29-32.

Li Yonghong, et al. (1994). An Algorithm of Fast Wavelet Decomposition On-line and Its Application in The Detection of Target Correlating Tracking. Journal of Dalian Maritime University, 1999(4): 87-90.

Li Yonghong (1999). Research on the Navigation Radar Tracking System by means of aVariable Step BP Network. The Journal of Navigation of China, 1999(2): 83-88.

Li Yonghong , et al. (1998). Research on the Feedforward Network Method of Marine Radar Track. 4th Int. Conf. on Signal Processing (ICSPÕ98), 1521-1524.

Li Yonghong (1995). On the Neural Network Method of Navigation Radar Data Processing. Journal of Dalian Maritime University, 1995(4): 25-28.

Li Yonghong (1994). Local Optimum Detector for the Sea Clutter. Journal of Dalian Maritime University, 1994(4): 29-32.

Li Yonghong (1994). Study on the Semilinear Feedforward Neural Network Used in Marine Radar Tracking, The 5th SPS National Conf. Procs, 490-493.

Li Yonghong (1993). Design of Series Interface between ARPA and Speech Output System. Journal of Dalian Maritime University, 1993(4): 426-430.