Applied Mechanics and Materials Vols. 135-136

Abstract: Exact Method (EX) has been recently proposed to handle the dynamic sensor bias estimation based on the local track estimates at different times, which only apply to fixed platform sensors. On the basis of EX algorithm, an new algorithm is presented to derive the dynamic sensor bias estimation in networked 3-D mobile sensor system based on the local track estimates at different times, which is called MEX algorithm for short. To testify the correctness and validity of the proposed algorithm, the simulations were carried out. And the result shows that the MEX algorithm can effectively estimate sensor measurement biases and attitude angle biases.

Abstract: Opportunistic spectrum sharing has become a promising approach to fully utilize the scarce spectrum resources. In this paper, we analyze the performance of a wireless system consisting of two secondary user (SU) groups with different priorities, which are defined to satisfy the different quality-of-service (QoS) requirements. At the same time, we take the errors of spectrum sensing (i.e. miss-detection and false alarm) into consideration. We derive system performance metrics such as SU forced termination probability and blocking probability. Our results suggest the proposed model can improve the secondary system capacity significantly even under unreliable spectrum detection.

Abstract: Biclustering is one of the important techniques for gene expression data analysis. A bicluster is a set of genes coherently expressed for a set of biological conditions. Various biclustering algorithms have been proposed to find biclusters of different types. However, most of them are not efficient. We propose a novel algorithm MRCluster to mine constant row biclusters from real-valued dataset. MRCluster uses Apriori property and several novel pruning techniques to mine biclusters efficiently. We compare our algorithm with a recent approach RAP, and experimental results show that MRCluster is much more efficient than RAP in mining biclusters with constant rows from real-valued gene expression data.

Abstract: Structured clouds and ground building background suppression are difficult problems for dim and small target detection technique. In this paper, the dim and small target background suppression method based on combined curvelet transform with modified non-local means filter was presented to solve the problem. And local gradient statistics is introduced to boost ability of method which suppresses false by background structure. The innovation was that the curvelet transform was adopted to decompose the input infrared image, which extracts multi-scale and directional detail features of the image. Moreover non-local means filter improved by local gradient characteristic was introduced to suppress background details and enhance target information for suppression background. Compared with two-dimensional least mean square (TDLMS) and modified partial differential equation (MPDE) methods, through visual quality and value index, several groups of experimental results demonstrate that the presented method can suppress complicated background in dim and small target image effectively.

Abstract: This paper use the methods of lapped transform to implement DSSS system narrowband interference suppression in lapped transform domain. Interference suppression in part, by improved median filter algorithm in a treatment process can locate and suppress interference, and it will not be activated in the absence of presence of interference, thus saving processing time. From the results of Matlab simulation, we can see the structure based on the analysis of lapping transform that has good performance in anti-narrowband interference, so it will be widely used in the tracking and relay satellite communications system.

Abstract: This paper is concerned with the optimal estimation problem for multiple packet dropouts systems with colored measurement noise. Using the latest received measurement value to replace the current missing data. Then, based on the augmented state space model, the optimal estimators including filter, predictor and smoother are developed via an innovation analysis approach for multiple packet dropouts systems with white and colored measurement noises. Finally, simulation results show the effectiveness and superiority of the proposed estimators.

Abstract: An optimal guidance law for interception of ballistic missile during the boost phase is presented in this paper. The kinematics characteristics of tactical missile during its boost phase are analyzed firstly. Then based on the kinematics given and assumption, the relative kinematics equations between target and missile are established. Optimal guidance law via LQ optimization is derived under the specified cost function. The time-to-go estimation method is also given in the paper. In the end of this paper, simulation is executed and the results validate that the deduced guidance law satisfy the direct hit index.

Abstract: For parameters don't fully know big system optimization problems, establish adaptive co-ordination optimization control system, applying interaction prediction approach (IPA), will be predicted interaction output as coordination variables, with given objective optimal criteria in comparison, for this variable iteration calculations, make its eventually become the optimization of satisfying the objective optimization criterion, and can obtain corresponding to this optimization output system optimal control. This method compared with correlation decoupling method, only to meet the control number greater than or equal to the output number conditions, can be directly object-oriented feasibility coordination optimization methods.

Abstract: The asynchronous induction motor has obtained more applications in electric vehicle (EV) or hybrid EV drive systems. But, the parameter’s variations of the motor and the harmonics of the voltage source inverter are the two problems influence control performance of EV Drive Systems. Above all, this Paper discusses several main factors which influence harmonics elimination, and then, describes an effective online method for identifying both stator and rotor resistance. The novel method uses Suboptimal Multiple Fading Extended Kalman Filter (SMFEKF) which is a kind of strong tracking filters can accomplish Parameter Identification. An important advantage of this method is that it offers a parallel search way can overcome local optima so as to find the globally optimal solution. Together with harmonic elimination Algorithm which improved the power factor of the drive and weaken the injected low-order harmonics to the induction motor, robust speed control of induction motor can obtained easily. The simulative results confirm that the proposed method has efficiency to EV Drive Systems.

Abstract: Path planning for mobile robot is a kernel problem in the robot technology area, with the characteristics of complexity, binding and nonlinearity. On account of global path planning for mobile robot in static environment, this paper discussed a method of combining ant colony algorithm and genetic algorithm. After completing a cycle of ant colony algorithm, two paths ants walked were randomly selected, and these two paths were further optimized genetically on the basis of certain crossover rate, if more optimal paths were obtained, the pheromone would be released in the more optimal paths, by this method the diversity of solution could be increased and solution speed be improved. The simulation result has verified the effectiveness of the proposed method.