To plan a global path in grid map, a hybrid two-dimensional path planning model based on frothing construction algorithm and local fast marching method is proposed. The proposed model consists of three steps. In first...
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To plan a global path in grid map, a hybrid two-dimensional path planning model based on frothing construction algorithm and local fast marching method is proposed. The proposed model consists of three steps. In first step, frothing construction algorithm is adopted to describe topology relationship of global passable regions in two-dimensional environment, and a grid topology map is obtained. The second step is path planning in topology map. Adopting generalized level-set algorithm, global shortest topology path can be obtained. In order to optimize the global path and real-time capability, global path replanning in grid map is proposed in third step. Local fast matching method is proposed by limiting effective region of cost potential function in global fast matching method. Quantitative analysis and comparisons prove that the proposed model is more suitable to the increasingly demanding path planning requirements than most of state-of-the-art algorithms. (C) 2012 Elsevier Ltd. All rights reserved.
Unique mission architectures become possible when formations of close-proximity spacecraft have the ability to reconfigure on orbit to adapt to different mission requirements. A necessary precursor to the realization ...
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Unique mission architectures become possible when formations of close-proximity spacecraft have the ability to reconfigure on orbit to adapt to different mission requirements. A necessary precursor to the realization of these missions, however, is the development of control architectures that accommodate the different geometries of a reconfigurable space system at different mission phases. This paper investigates the closed-loop control of a reconfigurable set of two CubeSat-scale spacecraft that are connected via noncontacting flux-pinned interfaces. A design concept known as location-scheduled control is used both to tune a Proportional-Integral-Derivative control law and to choose an optimal configuration for the spacecraft formation during a rest-to-rest reorientation maneuver. The location-scheduled control approach makes use of a genetic algorithm to search the design space of configurations and controller gains. The simulated performance of the controller is compared to experiments performed on Cornell University's Float Cube testbed, a planar air-bearing environment for validating nanosatellite-scale spacecraft architectures. The system's performance using the location-scheduled control-derived gains shows the same trends in the simulated and experimental data while providing insight into the behavior of the flux-pinned interfaces. Both simulation and experimental results also suggest that the location-scheduled control algorithm can select a combination of controller gains and system configuration that outperforms a human engineer's informed trial-and-error search.
This paper focuses on a hardware-in-the-loop facility aimed at real-time testing of architectures and algorithms of multisensor sense and avoid systems. It was developed within a research project aimed at flight demon...
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This paper focuses on a hardware-in-the-loop facility aimed at real-time testing of architectures and algorithms of multisensor sense and avoid systems. It was developed within a research project aimed at flight demonstration of autonomous non-cooperative collision avoidance for Unmanned Aircraft Systems. In this framework, an optionally piloted Very Light Aircraft was used as experimental platform. The flight system is based on multiple-sensor data integration and it includes a Ka-band radar, four electro-optical sensors, and two dedicated processing units. The laboratory test system was developed with the primary aim of prototype validation before multi-sensor tracking and collision avoidance flight tests. System concept, hardware/software components, and operating modes are described in the paper. The facility has been built with a modular approach including both flight hardware and simulated systems and can work on the basis of experimentally tested or synthetically generated scenarios. Indeed, hybrid operating modes are also foreseen which enable performance assessment also in the case of alternative sensing architectures and flight scenarios that are hardly reproducible during flight tests. Real-time multisensor tracking results based on flight data are reported, which demonstrate reliability of the laboratory simulation while also showing the effectiveness of radar/electro-optical fusion in a non-cooperative collision avoidance architecture.
The performance improvement imparted by routing and spectrum assignment on flexible grid optical networks is a subject of current extensive investigation. Proposed is an efficient spectrum-assignment algorithm based o...
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The performance improvement imparted by routing and spectrum assignment on flexible grid optical networks is a subject of current extensive investigation. Proposed is an efficient spectrum-assignment algorithm based on reducing the loss of capacity of future bandwidth-variable path requests. In all scenarios analysed the proposed algorithm outperformed currently investigated slot assignment algorithms.
Software-based Global Positioning System (GPS) receivers have been recognized as an effective research platform in recent years. The impact of oscillator frequency offset on hardware receiver and software receiver sig...
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Software-based Global Positioning System (GPS) receivers have been recognized as an effective research platform in recent years. The impact of oscillator frequency offset on hardware receiver and software receiver signal processing is contrasted based on a refined signal model and cross correlation function (CCF) analysis. Several online clock error correction algorithms are presented to produce unbiased measurements and clock error estimates with known and unknown front end frequency plans and with and without signal tracking and navigation solutions for single-and dual-frequency receivers on both static and dynamic platforms. The CCF formulation and the clock correction performance are validated using simulated signals and real single-and dual-frequency GPS data. The raw frequency error measurements with 0.02 s time resolution for an oven controlled crystal oscillator (OCXO) using real GPS signal report an Allan deviation (ADEV) of 1.3E-11 and a standard deviation of 1.56E-11.
Embedding of confidential data in the least significant bit of an image is still an attractive method of steganography. Utilizing the full capacity of cover images by embedding one bit of data per pixel, using methods...
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Embedding of confidential data in the least significant bit of an image is still an attractive method of steganography. Utilizing the full capacity of cover images by embedding one bit of data per pixel, using methods such as LSB flipping or LSB matching, usually decreases the security, making the algorithm vulnerable to steganalytic attacks. And then, it is proposed by an efficient high payload +/- 1 data embedding scheme(EPES) based on a special two variable binary function. This function uses the information of the least two significant bit planes of the cover image for the embedding and extraction purposes. Rather than randomly selecting +1 or -1, EPES achieves higher embedding efficiencies by choosing the correct modification component. The steganalytic method based on sample pair analysis (SPA) cannot effectively detect EPES. Hence, we propose a steganalysis by constructing adjacency pixel bits structure (SAP). The resulting detection algorithm is simple and fast. Analytical and experimental results demonstrate that the proposed method provides;higher detecting efficiency than the other steganalysis. (C) 2012 Elsevier Ltd. All rights reserved.
Mine rescue robots play a vital role during rescues in underground mine disasters. In this paper, we propose a new navigation method by using diverse-sensor data fusion with an improved algorithm of the Neural Network...
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Mine rescue robots play a vital role during rescues in underground mine disasters. In this paper, we propose a new navigation method by using diverse-sensor data fusion with an improved algorithm of the Neural Network Extended Kalman Filter. During this process, we take into account that a rescue's effectiveness is limited by its single navigation model. First, we utilize the Back Propagation neural network to improve the data matching level of dissimilar sensors. Second, data fusion is carried out by combining the Extended Kalman Filter and the Back Propagation neural network. By doing so, we simultaneously retrain the Back Propagation neural network with the modified error signals. The experimental analysis showed that the algorithm can effectively deal with heterogeneous data fusion. It can also improve the convergent speed and time response of the algorithm, and further improve the accuracy of navigation. (C) 2013 Elsevier Ltd. All rights reserved.
The aim of this paper is to present a fault detection algorithm(FDI) based on signal processing techniques developed for an inertial measurement unit (IMU) with minimal redundancy of fiber optic gyros. In this work th...
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The aim of this paper is to present a fault detection algorithm(FDI) based on signal processing techniques developed for an inertial measurement unit (IMU) with minimal redundancy of fiber optic gyros. In this work the recursive median filter is applied in order to remove impulses (outliers) arising from data acquisition process and parity vector operations, improving the fault detection and isolation performance. The FDI algorithmis divided into two blocks: fault detection (FD) and fault isolation (FI). The FD part of the algorithmis used to guarantee the reliability of the isolation part and is based on parity vector analysis using chi(2)-CUSUM algorithm. The FI part is performed using parity space projection of the energy subbands obtained from wavelet packet decomposition. This projection is an extension of clustering analysis based on singular value decomposition (SVD) and principal component analysis (PCA). The results of the FD and FI algorithms have shown the effectiveness of the proposed method, in which the FD algorithm is capable of indicating the low-level step bias fault with short delay and a high index of correct decisions of the FI algorithm also with low-level step bias fault.
Control algorithms ensuring high-precision control of an object under coordinate and parametric disturbances and noises are designed. This problem is solved by introducing an additional adaptive control loop synthesiz...
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Control algorithms ensuring high-precision control of an object under coordinate and parametric disturbances and noises are designed. This problem is solved by introducing an additional adaptive control loop synthesized on the basis of adaptive system theory with reference models. Several ways of simplifying the proposed adaptive algorithm are considered.
We introduce a parallel chaos-based encryption algorithm for taking advantage of multicore processors. The chaotic cryptosystem is generated by the piecewise linear chaotic map (PWLCM). The parallel algorithm is desig...
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We introduce a parallel chaos-based encryption algorithm for taking advantage of multicore processors. The chaotic cryptosystem is generated by the piecewise linear chaotic map (PWLCM). The parallel algorithm is designed with a master/slave communication model with the Message Passing Interface (MPI). The algorithm is suitable not only for multicore processors but also for the single-processor architecture. The experimental results show that the chaos-based cryptosystem possesses good statistical properties. The parallel algorithm provides much better performance than the serial ones and would be useful to apply in encryption/decryption file with large size or multimedia.
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