Advanced Materials Research Vol. 684

Abstract: Localization technology is one of the key technologies in Wireless Sensor Network (WSN). The Centroid algorithm, DV-HOP algorithm, APIT algorithm and Amorphous are the classic algorithms which are based on Range-free localization algorithm. This paper is improved on the basis of the DV-HOP and Weighted DV-HOP node localization algorithm, proposed an improved DV-HOP and weighted DV-HOP of WSN localization algorithm based on Simulation Curve Fitting (SCF). The SCF algorithm makes the process more refined during selecting the beacon node and the selected beacon node can be closer to the accurate position.

Abstract: Essential characteristics of the seismic data acquisition system should make it capable of measuring high fidelity Seismic data，which can be used for geophysicists to fulfill a geological task. New developments of high technology in Micro-electronics and computer industries, including the extremely low-noise capacitive micro-accelerometer sensor, 24 bits A/D conversion, new generation wireless data transmission, etc. are introduced to the seismic data acquisition system to meet the requirement for global oil and gas exploration. New type of acquisition system faces the new exploration techniques, methods and tasks.

Abstract: At present, seismic exploration, as a commonly used geophysical method has been widely applied in the field of resource exploration. Combined with the special application environment, based on the techniques of 24bit Δ- ΣA/D, multi-channel seismograph acquisition system is realized by the 24bit Δ- Σ conversion chip CS5340; design the related circuits with FPGA, reading and caching the serial output data of D/A and converting to parallel dataflow, realizing the data transmit to ARM; On the basis of hardware design, we complete the design of the acquisition system monitoring and control software, use the C language designed acquisition software and trigger control software, realize the various instructions of the host via the Ethernet port (Ethernet) transmit to the ARM and complete of the data collection. Last, the prototype has been finished, and the primary test results are given

Abstract: A straight-line trajectory computed tomography (CT) has been investigated in this paper and a high accuracy reconstruction algorithm based on TV minimization and OS-EM method has been put forward. This new algorithm, which is called TV-OS-EM, takes the advantage of both statistic iterative algorithm OS-EM and the total variation minimization technique, and has an efficient property of de-noising and restoration. The numerical experimental results show that the new method can achieve a remarkable improvement in image quality.

Abstract: As the schools become more and more open today, how to manage the whole school is becoming a great problem. Access control system needs development to adapt the tendency. Cost saving is also need in the smart access control system. One main board communicates with several IC reader board through CANBUS is a very good idea. This system awards different authorities to people to enter one building.

Abstract: Intelligence is a trend in the development of vehicles. This smart car system uses CCD camera to get images. The process is divided into three parts: image acquisition, extract centerline and path recognition. In this paper, it tells how to pick up the effective information of the road and predict the trend of black-line. Experiments show that the tracking movement of the smart car is real-time, efficient and intelligent, which has achieved the expected goals.

Abstract: Deviation from definitive flight path of a plane fixed a synthetic aperture radar (SAR) leads to inaccurate and defocused radar images, which has serious effect on the SAR interferometry (InSAR) processing. Therefore, the precise motion compensation (MOCO) for the airborne SAR interferometric data is the key to obtain high quality digital elevation model (DEM).The position and orientation system (POS)-based residual motion error compensation method is designed. Considering the precision of POS, there will be residual motion error after the POS-based MOCO, which have serious effect on the interferometric phase, especially the residual baseline errors. To solve the above problem, this paper proposed an enhanced multi-squint processing based model to estimate the residual baseline errors. This method can decrease the influence of data decorrelation and baseline error varying with range, and dramatically improve the measuring accuracy of InSAR.

Abstract: This paper mainly studied a new acquisition system of the vehicle operation attitude. To obtain the best estimated value of the attitude angle, this system ran through the acquisition and processing of the output signal from the new MEMS gyro sensor ADIS16355, and integrated the acceleration signal and the angular rate gyro signal by using the differential measurement. Finally verified by the experiment, this is a practical measurement system, which can meet the accuracy requirements of the vehicle driving attitude measurement.

Abstract: This paper proposes a new algorithm for joint estimation of Directions-Of-Arrival (DOA’s) and polarization parameters of the single electromagnetic vector sensor. Based on the cyclostationary properties of the signal,the algorithm uses minimum norm method to strike the signal steering vector solution, and then gets the estimation of DOA and polarization parameters. Besides limiting the distribution of additional stationary noise and interference signals on various frequencies, this algorithm also restraints the estimation error of the noise subspace singular vector with outstanding results. Computer simulation verified the effectiveness of the algorithm.

Abstract: There is presented a complete uncertainty evaluation process of end distance measurement by CMM. To begin with, the major sources of uncertainty, which would influence measurement result, are found out after analyzing, then, the general mathematic model of end distance measurement is established. Furthermore, Monte Carlo method (MCM) is used, and the uncertainty of the measured quantity is obtained. The complete results are given out, so the value of CMM is enhanced. Moreover, seen from the evaluation example, the results of uncertainty evaluation obtained from MCM method and from GUM method are compared, the comparison result indicates that the mathematic model is feasible, and using MCM method to evaluate uncertainty is easy and efficient, having practical value.