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111.
雷达图像幅值空间变迹算法 总被引:1,自引:0,他引:1
针对旁瓣抑制,给出了一种幅值空间变迹算法。该算法与一般空间变迹法不同,主要通过每一像素点幅值与相邻两个Nyquist采样点幅值之和做比较来判别该点处于主瓣还是旁瓣,来加以不同处理。在整数倍Nyquist采样的情况下,这种算法不仅压低旁瓣还使主瓣变窄,能得到比传统SVA更高的分辨率,在非整数倍Nyquist采样的情况下也比SVA具有更好的稳健性。对此进行了实验研究,结果证实了该算法的有效性。 相似文献
112.
本文提出一种由三个观测方向确定卫星初轨的方法,在该法中卫星轨道直接由六个经典轨道根数表示。轨道根数的求解涉及对冗余非线性方程组的求解,结合同伦方法基本思想和冗余非线性方程组的最小二乘广义逆,本文给出了该卫星定轨的同伦求解法。初步仿真计算表明,同伦求解法较其它传统的非线性方程组求解法在全局收敛方面具有优越性,同时也就表明该定轨法是切实可行的。值得指出,本文方法很容易扩展到N(N〉3)个观测方向确定卫 相似文献
113.
飞机总体设计的并行子空间算法 总被引:2,自引:0,他引:2
飞机设计是十分复杂的过程,它需要多个学科的综合协调及许多部门的共同合作。不同的学科之间存在着各种耦合关系。基于响应面的并行子空间算法通过将具有耦合的复杂系统进行分解,使其成为不同的子空间来处理解决耦合、非层次性的设计问题。通过响应面来完成各子空间之间的数据交换与协调,以此来逼近设计空间上的最优解。文中给出了一个飞机总体方案设计中解决飞机概念尺寸的算例,在子空间和系统层中均采用遗传算法进行优化,并与单级遗传算法的结果进行对比。研究表明,该算法能以较少的系统分析次数在设计空间内寻找出一个较好的设计方案,且具有较好的收敛性。 相似文献
114.
115.
在描述置信传播(BP)译码算法基础上,研究和分析了两种降低复杂度的译码算法。Min-Sum算法主要讨论了简化校验节点的消息更新运算,并应用密度进化方法对此算法进行极限性能分析,求出最佳修正参数α以改进译码性能。强制收敛技术致力于减少BP和MSA算法译码过程中“激活”节点的数目,从而降低译码复杂度。AWGN信道仿真结果表明,两种算法在降低译码复杂度的同时,译码性能没有明显降低。 相似文献
116.
117.
星载合成孔径雷达(SAR)分辨率和幅宽的不断提高,其产生的原始数据率越来越大,采用在轨实时成像处理形成图像,在图像域再进行传统的图像数据处理和传输,有助于降低星-地数据传输速率,为了提高星载SAR在轨成像处理的实时性,文章分析了星上特殊条件对星载SAR处理算法实时性所提出的约束,对RD、波束域、CS等经典的星载SAR成像处理算法的运算量进行了比较,以CS算法为例,研究了相位补偿因子对CS成像处理算法的实时性影响,提出了一种补偿因子区域不变的CS成像算法,它极大地减少了成像处理算法的运算量,并通过仿真实验结果验证了该算法的有效性。 相似文献
118.
Conflict avoidance (CA) plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm (MA), which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm (GA) is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches. 相似文献
119.
Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means (PFCM) kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means (FCM) cluster- ing is sensitive to noises and possibility C-means (PCM) clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness. 相似文献
120.
This paper studies a nonlinear robust control algorithm of the electro-hydraulic load simulator (EHLS). The tracking performance of the EHLS is mainly limited by the actuator's motion disturbance, flow nonlinearity, and friction, etc. The developed controller is developed based on the nonlinear motion loading model. The problems of the actuator's disturbance and flow nonlinearity are considered. To address the friction problem, the friction model of the loading motor is identified experimentally. The friction disturbance is compensated using the obtained friction model. Therefore, this paper considers the main three factors comprehensively. The developed algorithm is easy to apply since the controller can be obtained just with one step back-stepping design. The stability of the developed algorithm is proven via Lyapunov analysis. Both co-simulation and experiments are performed to verify the effectiveness of this method. 相似文献