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1.
This letter proposes two algorithns:a novel Quantum Genetic Algorithm(QGA)based on the improvement of Han‘s Genetic Quantum Algorithm(GQA)and a new Blind Source Separation(BSS)method based on QGA and Independent Component Analysis(ICA).The simulation result shows that the efficiency of the new BSS nethod is obviously higher than that of the Conventional Genetic Algorithm(CGA).  相似文献   

2.
A new Higher Order Statistics (OHS) and Genetic Algorithm (GA)-based inter-ference rejection filter is introduced.Compared with the adaptive filters based on second-order statistics and gradient algorithm,the HOS and GA-based filter can reject the interference more efficiently,is independent of uncorrelated Gaussian noise,tende to converge to the optimum solution and is much less sensitive to the choice of the step size parameter.Computer simulations show that the method can reject narrowband interference efficiently.  相似文献   

3.
A robust phase-only Direct Data Domain Least Squares (D3LS) algorithm based on generalized Rayleigh quotient optimization using hybrid Genetic Algorithm (GA) is presented in this letter. The optimization efficiency and computational speed are improved via the hybrid GA composed of standard GA and Nelder-Mead simplex algorithms. First, the objective function, with a form of generalized Rayleigh quotient, is derived via the standard D3LS algorithm. It is then taken as a fitness function and the unknown phases of all adaptive weights are taken as decision variables Then, the nonlinear optimization is performed via the hybrid GA to obtain the optimized solution of phase-only adaptive weights. As a phase-only adaptive algorithm, the proposed algorithm is simpler than conventional algorithms when it comes to hardware implementation. Moreover, it proc- esses only a single snapshot data as opposed to forming sample covariance matrix and operating matrix inversion. Simulation results show that the proposed algorithm has a good signal recovery and interferences nulling performance, which are superior to that of the phase-only D3LS algorithm based on standard GA.  相似文献   

4.
A novel algorithm based on Radon-Ambiguity Transform (RAT) and Adaptive Signal Decomposition (ASD) is presented for the detection and parameter estimation of multicomponent Linear Frequency Modulated (LFM) signals. The key problem lies in the chirplet estimation.Genetic algorithm is employed to search for the optimization parameter of chirplet. High estimation accuracy can be obtained even at low Signal-to-Noise Ratio(SNR). Finally simulation results are provided to demonstrate the performance of the proposed algorithm.  相似文献   

5.
Based on Immune Programming(IP), a novel Radial Basis Function (RBF) network designing method is proposed. Through extracting the preliminary knowledge about the width of the basis function as the vaccine to form the immune operator, the algorithm reduces the searching space of canonical algorithm and improves the convergence speed. The application of the RBF network trained with the algorithm in the modulation-style recognition of radar signals demonstrates that the network has a fast convergence speed with good performances.  相似文献   

6.
Aimed at the real-time forward kinematics solving problem of Stewart parallel manipulator in the control course, a mixed algorithm combining immune evolutionary algorithm and numerical iterative scheme is proposed. Firstly taking advantage of simpleness of inverse kinematics, the forward kinematics is transformed to an optimal problem. Immune evolutionary algorithm is employed to find approximate solution of this optimal problem in manipulator's workspace. Then using above solution as iterative initialization, a speedy numerical iterative scheme is proposed to get more precise solution. In the manipulator running course, the iteration initialization can be selected as the last period position and orientation. Because the initialization is closed to correct solution, solving precision is high and speed is rapid enough to satisfy real-time requirement. This mixed forward kinematics algorithm is applied to real Stewart parallel manipulator in the real-time control course. The examination result shows that the algorithm is very efficient and practical.  相似文献   

7.
Orthogonal Discrete Frequency-Coding Waveform design for MIMO radar   总被引:2,自引:0,他引:2  
Design of orthogonal code sets with ideal correlation properties is crucial for orthogonal Multiple Input Multiple Output(MIMO)radar.A modified Genetic Algorithm(GA)is proposed to numerically design orthogonal Discrete Frequency-Coding Waveforms(DFCWs)with good correlation properties for MIMO radar.Some of the designed results are presented,and their correlation properties are better than those presented in literatures.The effect of Doppler frequency shift on the performance of these signals is simply investigated.Simulation results and comparisons show that the proposed algorithm is more effective for the design of DFCWs with superior aperiodic correlation properties.  相似文献   

8.
Blind Adaptive Step-size Constant Modulus Algorithm (AS-CMA) for multiuser detection in DS-CDMA systems is presented.It combines the CMA and the concept of variable step-size,uses a second LMS algorithm for the step size.It adjusts the step-size according to the minimum output-energy principle within a specified range,thus overcomes the problems of bad effect of fixed step-size LMS algorithm.Compared with Adaptive Step-size LMS (AS-LMS) algorithm,through simulations,this algorithm can adapt the changes of the environment,suppress multiple access interference in the dynamic environment and the stability of Signal to Interference Ratio (SIR) is superior to that of AS-LMS.  相似文献   

9.
Genetic Algorithm (GA) is a biologically inspired technique and widely used to solve numerous combinational optimization problems. It works on a population of individuals, not just one single solution. As a result, it avoids converging to the local optimum. However, it takes too much CPU time in the late process of GA. On the other hand, in the late process Simulated Annealing (SA) converges faster than GA but it is easily trapped to local optimum. In this letter, a useful method that unifies GA and SA is introduced, which utilizes the advantage of the global search ability of GA and fast convergence of SA. The experimental results show that the proposed algorithm outperforms GA in terms of CPU time without degradation of performance. It also achieves highly comparable placement cost compared to the state-of-the-art results obtained by Versatile Place and Route (VPR) Tool.  相似文献   

10.
This letter investigates an efficient design procedure integrating the Genetic Algorithm (GA) with the Finite Difference Time Domain (FDTD) for the fast optimal design of Smart Antenna Arrays (SAA). The FDTD is used to analyze SAA with mutual coupling. Then,on the basis of the Maximal Signal to Noise Ratio (MSNR) criteria, the GA is applied to the optimization of weighting elements and structure of SAA. Finally, the effectiveness of the analysis is evaluated by experimental antenna arrays.  相似文献   

11.
提出一种自适应免疫遗传算法,设计自适应免疫遗传算子。该算法利用交叉率和变异率自适应调整策略,既防止交叉变异中的个体退化,又保证种群的多样性,并能快速收敛到全局最优解。仿真分析表明,与遗传算法等其他算法相比,该算法具有收敛速度快、平均适应度高、稳定性好等优点,能满足认知引擎参数优化的需要。  相似文献   

12.
The performance of the classical clustering algorithm is not always satisfied with the high-dimensional datasets, which make clustering method limited in many application. To solve this problem, clustering method with Projection Pursuit dimension reduction based on Immune Clonal Selection Algorithm (ICSA-PP) is proposed in this paper. Projection pursuit strategy can maintain consistent Euclidean distances between points in the low-dimensional embeddings where the ICSA is used to search optimizing projection direction. The proposed algorithm can converge quickly with less iteration to reduce dimension of some high-dimensional datasets, and in which space, K-mean clustering algorithm is used to partition the reduced data. The experiment results on UCI data show that the presented method can search quicker to optimize projection direction than Genetic Algorithm (GA) and it has better clustering results compared with traditional linear dimension reduction method for Principle Component Analysis (PCA).  相似文献   

13.
基于免疫遗传算法的自适应图像分割方法   总被引:20,自引:4,他引:16  
提出了一种基于免疫遗传算法的图像分割新方法。利用生物免疫系统自调节、抗原识别和记忆功能,结合遗传算法对图像进行自适应区域阈值分割,试验结果表明该方法能够克服传统闽值方法对目标大小的限制,是一种有效的图像分割新方法。  相似文献   

14.
为了避免核匹配追踪通过贪婪算法在基函数字典中寻找一组基函数的线性组合来逼近目标函数的计算量大的缺陷,本文利用免疫克隆选择算法全局最优和局部快速收敛的特性,加快对核匹配追踪算法每次的匹配过程进行优化,提出了一种免疫克隆核匹配追踪图像目标识别算法,该算法有效降低了核匹配追踪算法的计算量,对UCI数据集和遥感图像进行的仿真实验结果表明,相比标准核匹配追踪,该算法保持相当识别率情况下可以明显缩短一次匹配追踪的时间,尤其当字典规模较大时效果更为明显;同基于遗传算法优化相比,本文方法目标识别速度快,精度高.  相似文献   

15.
支持向量机性能主要受模型参数的影响,而支持向量机更新模型的参数选择尚无专门的方法。将量子遗传算法用于模型参数选择并进行改进,用原始模型最优参数设置初始量子模板的生成规则,确定搜索方向;用拟合误差设置量子旋转门的调整策略,缩小解空间取值范围。通过仿真验证了所提方法的有效性。该方法能有效搜索到最优参数,与基本遗传算法相比,其解的精度在搜索过程的初期较高,搜索代数大大降低,能有效降低运算量。  相似文献   

16.
基于免疫克隆算法的认知无线电多信道联合感知方法   总被引:1,自引:0,他引:1  
该文研究了认知无线电多信道联合感知的数学模型,并将此模型转换为以认知系统总吞吐率最大化为目标的带约束优化问题,进而提出一种基于免疫克隆的多信道联合感知算法。仿真实验表明所提算法在收敛速度以及稳定性上均明显优于已有的基于遗传算法的感知方法,并且所提算法在对主用户造成相同的干扰条件下能提供更高的系统总吞吐率。  相似文献   

17.
量子遗传算法是一种融合量子计算和遗传算法优点的智能算法,常用于求解组合优化问题.本文给出多输出RM(Reed Muller)逻辑电路最佳极性搜索方案,将量子遗传算法应用到多输出固定极性RM电路逻辑优化中.针对量子遗传算法易陷入局部极值的缺陷,结合群体灾变思想,提出一种基于量子遗传算法的多输出RM逻辑电路最佳极性搜索算法.最后对多个大规模PLA格式基准电路测试表明:该算法与基于遗传算法的最佳极性搜索相比,在优化能力、寻优性能和收敛速度等方面都有不同程度的提高.  相似文献   

18.
该文提出了一种新的适用于任意峰度非高斯信号的多目标盲波束形成算法。该方法在最大峰度算法(KMA)的基础上,引入信号的互相关约束定义了一种新的代价函数。通过对该代价函数的最大化,来盲估计波束形成器的权向量,从而完成对多目标的分离和定向。由于波束形成过程不需要正交化处理,避免了波束形成器锁定噪声的可能性。同时,采用一种复数编码的遗传算法来求解权向量,不但可避免陷入局部极值的可能性,而且还能有效提高运行速度。仿真实验验证了该算法的有效性和正确性。  相似文献   

19.
王安祥  冯健 《激光技术》2009,33(1):32-35
为了研究遗传模拟退火算法在光散射模型参量反演中的迭代搜索性能问题,分别采用遗传模拟退火算法和单一遗传算法迭代搜索了几种介质的双向反射分布函数模型的相关参量。将两种算法的反演结果与在特定激光波长下的双向反射分布函数实验数据进行了对比,通过理论分析和实验验证,取得了两种算法所得到的拟合值,两种拟合值都与实验数据吻合得较好;同时比较了遗传模拟退火算法和单一遗传算法在迭代次数、计算时间和均方误差等之间的差异。结果表明,两种算法在不同介质表面双向反射分布函数模型参量反演时都可以得到满意的结果,且前者优化效果更优。这一结果对研究不同算法的迭代搜索性能是有帮助的。  相似文献   

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