Showing papers by "Gexiang Zhang published in 2003"
26 May 2003
TL;DR: The simulations of FIR filter design demonstrate IQGA is superior to QGA, the methods in reference [5] and traditional method.
Abstract: An improved quantum genetic algorithm (IQGA) is proposed in this paper. In IQGA, the strategies of updating quantum gate by using the best solution and introducing population catastrope are used. The typical function tests show convergent speed of IQGA is faster than that of quantum genetic algorithm (QGA) and other several GAs, and IQGA can also make up for prematureness of QGA. The simulations of FIR filter design demonstrate IQGA is superior to QGA, the methods in reference [5] and traditional method.
36 citations
05 Oct 2003
TL;DR: The results from optimization design of IIR digital filters demonstrate that NQEA is superior to other several conventional evolutionary algorithms greatly in quality and efficiency.
Abstract: In this paper, a novel evolutionary algorithm called new quantum evolutionary algorithm (NQEA) is proposed to solve a class of multi-objective optimization problems. The main point of NQEA is that a new quantum logic rotation gate is introduced. NQEA characterizes rapid convergence, good global search capability and short computing time. Then, the convergence of NQEA is also analyzed using random functional theory. The results from optimization design of IIR digital filters demonstrate that NQEA is superior to other several conventional evolutionary algorithms greatly in quality and efficiency.
26 citations
01 Jan 2003
TL;DR: Results demonstrate that the CFs have good characteristics for clustering the same radar signals and separating different radar signals, which indicates that CF can simplify the design procedure of classifiers and greatly heighten the identification accuracy rate of radar emitter signals.
Abstract: Because the intra-pulse modulation laws of radar emitter signals reflect directly on the signal waveform, a novel approach is presented to extract the complexity features (CFs) of radar emitter signals. CFs, including Lempel-Ziv complexity (LZC) and correlation dimension (CD), can measure the complexity and irregularity of radar signals effectively. To show the effectiveness and feasibility of the introduced approach, CFs of 10 typical radar emitter signals are extracted in our experiments. The results demonstrate that the CFs have good characteristics for clustering the same radar signals and separating different radar signals, which indicates that CF can simplify the design procedure of classifiers and greatly heighten the identification accuracy rate of radar emitter signals.
26 citations
19 Dec 2003
TL;DR: The results from the tests of several typically complex functions and experimental results of digital filter design demonstrate that NQGA is superior to several conventional genetic algorithms (CGAs) greatly in optimization quality and efficiency.
Abstract: When quantum-inspired genetic algorithm (QGA) is used to solve continuous function optimization problems, there are several shortcomings, such as non-determinability of lookup table of updating quantum gates, requiring prior knowledge of the best solution and premature phenomenon. So novel quantum genetic algorithm (NQGA) is proposed in this paper to solve continuous function optimization problems. The core of NQGA is that a new evolutionary strategy including qubit phase comparison approach to update quantum gates, adaptive search grid and catastrophe-mutation method is introduced. NQGA has good capability of balancing exploration and exploitation and has some excellent characteristics of both good global search capability and good local search capability, rapid convergence. And the convergence of NQGA is also analyzed in this paper. The results from the tests of several typically complex functions and experimental results of digital filter design demonstrate that NQGA is superior to several conventional genetic algorithms (CGAs) greatly in optimization quality and efficiency.
25 citations
09 Apr 2003
TL;DR: The effectiveness, applicability and flexibility of MCSOM based on NQGA are demonstrated by experimental results on the lowpass and bandpass IIR digital filters design.
Abstract: This paper proposes a novel method called multi-criterion satisfactory optimization method (MCSOM) to design infinite impulse response (IIR) filters. The core of the method is that multiple criteria can be adjusted conveniently, according to different requirements of different designers for performances of pass bands, stop bands and transition bands of IIR digital filters. The method can be employed directly in frequency domain. By designing performance specification satisfaction rate functions and synthesis satisfactory rate function of IIR digital filters, satisfactory optimization model is constructed. The model is characterized by considering satisfactory design of performance specifications and optimization of parameters of IIR digital filters, simultaneously. Furthermore, a new quantum genetic algorithm (NQGA) is also proposed to search automatically satisfactory solution in IIR digital filter design in this paper. Rapid convergence and good global search capability characterized the performance of NQGA. The effectiveness, applicability and flexibility of MCSOM based on NQGA are demonstrated by experimental results on the lowpass and bandpass IIR digital filters design. The results show that the introduced method is superior to Yule-Walker method and the method in Li Jianhua and Yin Fuliang (1996).
20 citations
01 Jan 2003
TL;DR: A novel effective approach based on fractal theory is proposed to extract features of radar emitter signals that have good characteristics of clustering the same radar signals and separating different radar signals.
Abstract: In this paper, a novel effective approach based on fractal theory is proposed to extract features of radar emitter signals. Box dimension and information dimension are used as classification features to recognize the types of intra-pulse modulation of radar signals. It is proved in both theory and experiments that the features are not sensitive to noise. Experimental results show that the features have good characteristics of clustering the same radar signals and separating different radar signals.
16 citations
08 Oct 2003
TL;DR: The effectiveness, applicability and flexibility of MCSOM based on NQGA are demonstrated by experimental results on the lowpass and bandpass FIR digital filters design and the results show that the introduced method is superior to look-up table method and the method in reference.
Abstract: In this paper, a novel optimization method called multi-criterion satisfactory optimization method (MCSOM) is proposed to design FIR digital filters The main idea of the method is that multiple criterions can be adjusted easily, according to different requirements of different designers for performances of pass bands, stop bands and transition bands of FIR digital filters By designing performance specification satisfactory rate functions and synthesis satisfactory rate function of FIR digital filters, satisfactory optimization mathematic model is constructed The model is characterized by considering satisfactory design of performance specifications and optimization of parameters of FIR digital filters, simultaneously At the same time, a new quantum genetic algorithm (NQGA) is also proposed to search automatically satisfactory solution in FIR digital filter design in this paper Rapid convergence and good global search capability characterize the performance of NQGA The effectiveness, applicability and flexibility of MCSOM based on NQGA are demonstrated by experimental results on the lowpass and bandpass FIR digital filters design The results show that the introduced method is superior to look-up table method and the method in reference
6 citations